2024-03-29T05:39:31Z
http://www.diagnosticpathology.eu/content/index.php/dpath/oai
oai:ojs2.localhost:article/238
2019-08-22T16:00:09Z
dpath:RES
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/238
2019-08-22T16:00:09Z
Diagnostic Pathology
Vol 3 No 1 (2017): 2017
Morphometric study of facial wrinkles and aesthetic skin as dermaroller treatment combined with platelet rich plasma (PRP)
Oyunsaikhan, Surmaajav; Department of Oral and Maxillofacial Surgery, School of Dentistry, Mongolian National University of Medical Sciences
Amarsaikhan, Bazar; Department of Prosthodontics, School of Dentistry, Mongolian National University of Medical Sciences
Batbayar, Badral; Department of Oral and Maxillofacial Surgery, School of Dentistry, Mongolian National University of Medical Sciences
Dungubat, Erdenetsogt; National University of Medical Sciences (MNUMS)
2017-02-09 12:31:04
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/238
dermaroller, platlet rich plasma, PRP, wrinkle, skin aging
en
Background: Facial wrinkles are a multifactorial, complex process that negatively affects individuals’ appearance, consequently their quality of life. The treatment for these wrinkles varies with the degree of severity. This prospective study aimed to evaluate the clinical effect of pure dermaroller and dermaroller combined with platelet rich plasma therapy (PRP dermaroller), to treat facial wrinkles, and to quantitatively evaluate histological changes of the skin that occur in the two different cohorts.Methods and materials: Twenty healthy women aged 43-48 years with scores ranging between 2 and 4 on the baseline facial fine wrinkle grading scale were enrolled in the this clinical study. Nineteen of the patients were treated with a pure dermaroller on the one half of face, and with a dermaroller that included a platelet rich plasma on the other half of the face. Three treatments, each in a 4 weeks interval were performed. Standard photographs and skin biopsies were obtained from the treatment area at baseline and 8 weeks after the final session. Comparisons of the treatments were analyzed using clinical and histological findings.Results: The degree of baseline facial fine wrinkle grading scale after treatment revealed statistically significant effects of the PRP dermaroller treatment side compared to the side of pure dermaroller treatment. At 8 weeks after the final session, the wrinkling grade on the PRP dermaroller side and the pure dermaroller side showed significant differences (p<0.05). Microscopic evaluation of haematoxylin eosin and Masson’s trichrome stained sections revealed significant differences in dermal fibers, epidermal thickness, papillas and skin glands.Conclusion: Significant changes were noted between treatments of facial wrinkles with pure dermaroller and PRP dermaroller. Dermaroller combined with platelet rich plasma is a promising novel method of facial rejuvenation.
oai:ojs2.localhost:article/118
2018-06-19T09:14:11Z
dpath:SY01
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/118
2018-06-19T09:14:11Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Morphometric Analysis In Benign, Atypical And Invasive Breast Lesions And Its Correlation With Histological Diagnosis, Tumour Grading And Her2 Overexpression
Gahlaut, Renu; Addenbrookes Hospital, Cambridge University Hospitals NHS Foundation Trusts, Histopathology, Cambridge, United Kingdom
Arora, B.; Postgraduate Institute of Medical sciences, Histopathology, Rohtak, India
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/118
Introduction/ BackgroundComputer image analysis has become an important tool in the pathology laboratory for quantitative morphometric analysis, which has several advantages over conventional visual assessment: Objectivity, reproducibility and the ability to detect changes not immediately apparent to naked eyes. The nuclear and cytoplasmic alterations during the development of various breast lesions are the cornerstone for typing and grading of these lesions, including carcinomas. The current study was aimed at analyzing the morphometric parameters like mean nuclear area, mean cytoplasmic area, nuclear:cytoplasmic ratio in various breast lesions including benign, atypical and malignant cases, with and without lymph node metastasis. AimsThe purpose of this study was to compare the morphometric parameters of various breast lesions on formalin fixed paraffin embedded (FFPE) tissue sections with conventional histological diagnosis, tumour grading and HER2 overexpression. MethodsA total of 100 cases were selectively obtained from archival paraffin blocks. 75 cases were of breast tissues from wide local excision/mastectomy or excision biopsy specimens along with 25 cases of positive lymph nodes with metastatic deposits from infiltrating ductal carcinoma. FFPE sections were stained with conventional methods of haematoxylin and eosin (H&E) and examined for histological diagnosis. The sections with representative breast lesions were stained immunohistochemically to determine HER2 status. Morphometric analysis was performed on H&E sections. ResultsThe current study showed that ‘p’ value was highly significant (p<0.001) for nuclear area and N:C ratio among different categories. The cytoplasmic area was found significant (p<0.001) in discrimination of benign from malignant lesions but not atypical from malignant lesions, indicating that cytoplasmic area alone is not a very reliable parameter.Conclusion: The morphometric evaluation of breast lesions has proved to be a useful technique in tumour pathology and a valuable adjunct to histomorphology in rapid and accurate diagnosis of different breast lesions. As nuclear changes precede morphological changes, nuclear morphometry can prove beneficial in diagnosing the malignant changes, both at the earliest and with accuracy.In our study we found that mean nuclear diameter and N:C ratio were higher in grade III tumors than grade I and grade II tumours. The difference was statistically significant. The malignant lesions with strong HER2 expression (3+) had higher mean nuclear area as compare to HER2 negative/ borderline (2+) tumours. Thus, the correlation between histological diagnosis, tumour grading and morphometric nuclear parameters, in combination with HER2 overexpression, can improve the evaluation of the patient’s prognosis, and possibly predict response to therapy.Computer assisted nuclear morphometry can also be used in objective grading and standardizing grading performance between different laboratories. Hence nuclear morphometrical analysis will bring a factor of objectivity and help in quantification of the nuclear atypia and limit the subjective variability in grading of breast cancers.
oai:ojs2.localhost:article/263
2019-08-22T14:52:41Z
dpath:REV
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/263
2019-08-22T14:52:41Z
Diagnostic Pathology
Vol 4 No 1 (2018): 2018
Whole body plastination, intra-organ heterogeneity, and tissue based diagnosis – a survey
von Hagens, Gunther; Plastinarium, Guben, Germany
Kayser, Gian; Institute of Pathology, University of Freiburg, Freiburg, Germany
Borkenfeld, Stephan; International Academy of Telepathology, Heidelberg, Germany
Kayser, Klaus; Institute of Pathology, Charite, Berlin
2018-04-13 18:30:45
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/263
Background: The corpse is the final structural relict of life. Its detailed analysis, the autopsy formed the basis and contributed significantly to our understanding of location, function and interaction of organs in man. Today, autopsies are performed rarely. They have been replaced by radiological in vivo visualization techniques and the analysis of organ excisions and biopsies. Which attributes do whole body preservations possess in this context?Techniques of Whole Body Analysis: In vivo imaging transfers the appearance of body organs and cellular structures in virtual images. The patient’s exposure to X-rays, fundamental particles (electrons, positrons, etc.), strong magnetic fields (nuclear resonance), or ultra sounds release the corresponding signals. The obtained images are interpreted in search for local abnormalities such as cancer, acute and chronic infections, inborn errors, hypertrophy or atrophy.Autopsies require the removal and visual inspection of organs shortly after the victim’s death. In addition, tissue probes of suspicious lesions are fixed and microscopically analyzed. The search for gene or protein abnormalities are added dependent upon the clinical history and gross findings.The whole body plastination is performed in separated steps which include fixation, anatomical dissection, forced polymer impregnation, positioning and curing. Organs and other tissue structures can be taken out of the body and separately demonstrated, or aligned and fixed within the body. Additional tissue examinations are possible at this stage, which is followed by hardening and fixation of the still flexible body. Fixation is done with heat, light or gas. Results and Interpretation: Tissue conservation is a prerequisite to analyze and investigate in diagnosis and forecast of disease occurrence and behaviour. In history, autopsies have opened the door to localize the position and to understand the functions of organs. Today, they have been replaced by tissue banking and in vivo examinations in a wide range, especially when local lesions of organs are under investigation. Analysis of blood and serum is the main technique to search for organ dysfunction. Whole body plastination is an appropriate technique to investigate and demonstrate healthy appearance of organs, intra-organ heterogeneity, connection to and communication with neighbouring or distant organs as well as localization and distribution of organ lesions, and the associated functional impact.Perspectives: Modern societies try to inform their citizens by numerous investigations of the public health status and to improve the health condition as well as to minimize the development of behaviour associated diseases such as smoking and lung cancer, or overweight and infarction. Well performed body conservation supports these efforts. In addition, it can be considered an innovative technique to understand, diagnose, and even treat dysfunction of intra-body communication at the physical and even mental level.
oai:ojs2.localhost:article/134
2018-06-19T09:14:46Z
dpath:EP
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/134
2018-06-19T09:14:46Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Automated Quantification Of Proliferation With Automated Hot-Spot Selection In Phosphohistone H3/Mart1 Dual-Stained Melanomas
Nielsen, P. S.; Aarhus University Hospital, Department of Pathology, Aarhus, Denmark
Riber-Hansen, R.; Aarhus University Hospital, Department of Pathology, Aarhus, Denmark
Schmidt, H.; Aarhus University Hospital, Department of Oncology, Aarhus
Steiniche, T.; Aarhus University Hospital, Department of Pathology, Aarhus, Denmark
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/134
Introduction/ BackgroundStaging of melanoma includes quantification of a pro- liferation index, i.e., presumed melanocytic mitoses of H&E stains are counted manually in hot spots. Yet, its reproducibility and prognostic impact increases by im- munohistochemical dual staining for phosphohistone H3 (PHH3) and MART1, which also may enable fully automated quantification by image analysis. AimsTo ensure manageable workloads and repeatable measurements in modern pathology, the study aimed to present an automated quantification of proliferation with automated hot-spot selection in PHH3/MART1- stained melanomas.MethodsFormalin-fixed, paraffin-embedded tissue from 153 consecutive stage I/II melanoma patients was immuno- histochemically dual-stained for PHH3 and MART1, and whole slide images were captured. An algorithm that automatically detects the number of PHH3/MART1-pos- itive cells was developed using commercial software. In preprocessing, the intensity band of the HSI color model and color deconvolution including a standard deviation filter highlighted PHH3 positivity. Threshold- ing functions classified the image into brown PHH3, red MART1, and blue hematoxylin. Finally, postprocessing al- gorithms pinpointed PHH3/MART1-positive cells based on size, MART1 surrounding, color intensity, and nuclearirregularity. Based on the labels of image analysis, a hot spot was automatically selected by a processing step where circles that detect PHH3/MART1-positive cells produce a heat map according to their cluster. The number of PHH3/MART1-positive cells was counted both automatically and manually in the global tumor area and in a manually and automatically selected hot spot, i.e., a fixed 1-mm2 square.ResultsThe mean difference between manual and automated global counts was 2.9 cells/mm2 (P = 0.0071) and 0.23 cells per hot spot (P = 0.96) for automated counts in manually and automatically selected hot spots. In 77% of cases, manual and automated hot spots overlapped. Fully manual hot-spot counts yielded the highest prog- nostic performance with an adjusted hazard ratio of 5.5 (95% CI, 1.3–24, P = 0.024) as opposed to 1.3 (95% CI,0.61–2.9, P = 0.47) for automated counts with automated hot spots. In conclusion, the automated index and auto- mated hot-spot selection were highly correlated to their manual counterpart, but altogether their prognostic impact was noticeably reduced. Because correct rec- ognition of only one PHH3/MART1-positive cell seems important, extremely high sensitivity and specificity of the algorithm is required for prognostic purposes. The automated analysis may thus still aid and improve the pathologists’ detection of mitoses in melanoma and possibly be useful in other malignancies and future research studies.Â
oai:ojs2.localhost:article/284
2022-04-08T14:52:45Z
dpath:CAS
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/284
2022-04-08T14:52:45Z
Diagnostic Pathology
Vol 7 No 1 (2022): Vol 7 No 1
Pituicytoma- Case Report Of A Rare Sellar/ Suprasellar Mass
Mani, Sandeep; Apollo Hospitals
Lakshmanan, Archana; Apollo cancer centre, Chennai
Subramanyan, Annapurneswari; Apollo cancer centre, Chennai
2022-03-31 16:49:10
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/284
Background: Pituicytoma is a rare primary tumor of the sellar and suprasellar region, arising from the pituicytes which are specialized glial cells in the neurohyphophysis and infundibulum.
Objective: Radiological features being non- specific, histopathological examination and immunohistochemistry will help us in arriving at the correct diagnosis.
Material and methods: We report a case of pituicytoma in a 48 year old woman arising in the sellar/suprasellar region.
Results: Histopathological examination of the lesion showed elongate bipolar spindle cells arranged in fascicular and storiform pattern. The neoplastic cells were diffusely positive for TTF-1, S-100, vimentin, variably positive for GFAP, negative for synaptophysin and Ki-67 index was less than one percentage.
Conclusion: Pituicytomas are rare tumors of the sellar and suprasellar region and its diagnosis is typically based on histopathological examination with a varied immunohistochemical profiles but with consistent TTF-1 positivity.
oai:ojs2.localhost:article/151
2018-06-19T09:28:24Z
dpath:VM
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http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/151
2018-06-19T09:28:24Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Cytomine: An Open-Source Software For Collaborative Analysis Of Whole-Slide Images
Marée, R.; University of Liège, Systems and Modeling, Liege, Belgium
Rollus, L.; University of Liège, Systems and Modeling, Liege, Belgium
Stévens, B.; University of Liège, Systems and Modeling, Liege, Belgium
Hoyoux, R.; University of Liège, Systems and Modeling, Liege, Belgium
Louppe, G.; University of Liège, Systems and Modeling, Liege, Belgium
Vandaele, R.; University of Liège, Systems and Modeling, Liege, Belgium
Begon, J.-M.; University of Liège, Systems and Modeling, Liege, Belgium
Kainz, P.; 2Medical University Graz, Institute of Biophysics, Graz, Austria
Geurts, P.; University of Liège, Systems and Modeling, Liege, Belgium
Wehenkel, L.; University of Liège, Systems and Modeling, Liege, Belgium
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/151
Introduction/ BackgroundMajor software for whole-slide image analysis and digital pathology are proprietary / closed-source which is not in line with current trends in open science and reproducible research. While some open-source software libraries exist for digital pathology (e.g. OpenSlide or NDPITools for reading and converting slide formats), to the best of our knowledge no open-source software exists that combines remote visualization, collaborative and semantic annotation, and semi-automated analysis of digital slides.AimsOur Cytomine project started in 2010 to build a rich web environment for multi-gigapixel imaging data. This tool has been designed with the following objectives in mind: provide remote and collaborative principles, rely on data models that allow to easily organize and semantically annotate imaging datasets in a standardized way (using user-defined ontologies), efficiently support high-resolution multi-gigapixel images (incl. major scanner image formats), and provide mechanisms to readily proofread and share image quantifications produced by any image recognition algorithms. By emphasizing collaborative principles, our aim with Cytomine is to accelerate scientific progress and to significantly promote image data accessibility and reusability. We want to break common practices in this domain where imaging datasets, quantification results, and associated knowledge are still often stored and analyzed within the restricted circle of a specific laboratory.MethodsSince the start of our project, we collaborated with biomedical researchers, pathologists, and computer scientists to shape the software and meet user and researcher needs. During development, we combined recent web, database, software development, and machine learning methodologies using open-source libraries. We also adopted modern practices (such as continuous integration and code quality testing) to build an industrial-grade software. In order to enable software extensibility and interoperability, we used a RESTful architecture so that e.g. other computer scientists can import/export data with their own algorithms and share their quantification results.ResultsThe Cytomine software (http://www.cytomine.be/) has been released under an open-source licence since January 2016. In terms of code, Cytomine is composed of roughly 70K lines of code decomposed into its four main modules: Cytomine-Core (web server and database), Cytomine-WebUI (web user interface), Cytomine-IMS (image server), and Cytomine-DataMining (image recognition algorithms). Cytomine has now been used on various bio(medical) imaging datasets that involved various types of images and experts in different collaborative operating modes to perform various quantification tasks (in renal pathology, toxicology, developmental studies, lung and breast cancer research,...). By providing detailed documentation, installation instructions and source code, we hope that Cytomine will be used and extended for many purposes in digital pathology. Overall, we believe Cytomine is an important new tool of broad interest to foster active communication and distributed collaboration between pathologists, life scientists, computer scientists, teachers and students working with digital slides.
oai:ojs2.localhost:article/167
2018-06-19T09:08:24Z
dpath:IMT
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http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/167
2018-06-19T09:08:24Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Microanatomical Analysis And Quantification Of Plasma Cell Niche Interactions In The Bone Marrow
Hauser-Hankeln, A.; Deutsches Rheumaforschungszentrum, Medizinische Klinik m.S. Rheumatologie und Klinische Immunologie, Berlin, Germany
Zehentmeier, S.; Deutsches Rheumaforschungszentrum, Immunodynamics, Berlin, Germany
Cseresnyes, Z.; Deutsches Rheumaforschungszentrum, Immunodynamics, Berlin, Germany
Deutsches Rheumaforschungszentrum, Biophysical Analytics, Berlin, Germany
Holzwarth, K.; Deutsches Rheumaforschungszentrum, Immunodynamics, Berlin, Germany
Stefanowski, J.; Charité Universitätsmedizin, Berlin, Germany
Reismann, D.; Deutsches Rheumaforschungszentrum, Biophysical Analytics, Berlin, Germany
Niesner, R.; Deutsches Rheumaforschungszentrum, Biophysical Analytics, Berlin, Germany
Radbruch, A.; Deutsches Rheumaforschungszentrum, Cell Biology, Berlin, Germany
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/167
IntroductionLong-lived plasma cells (PCs), responsible for the production of long-term antibody titers, have been shown to survive in the bone marrow for months to years in the absence of antigen. They are supported by a special microenvironment, the PC survival niche. Various cell types have been reported to contribute to this niche by providing survival factors, e.g. CXCL12-producing reticular stromal cells. Additionally, hematopoietic cells have been shown to mediate PC survival in vivo, amongst them megakaryocytes and eosinophils, but the spatiotemporal dynamics of the various niche components in the tissue remain elusive.AimsThe aim of our work is to analyze the cellular and molecular composition of plasma cell survival niches in the bone marrow in situ.MethodsIn order to unambiguously quantify the localization of PCs, we are analyzing bone marrow cryosections and whole mounts for PCs, stromal cells, vasculature and accessory niche cells. Additionally, we have developed a computer modeling approach which allows us to distinguish random co-localization from non-random cell positioning.Using these approaches, we have previously shown that PCs directly contact reticular stromal cells in a non-random fashion, while 30% of PCs are found in 10 µm vicinity to eosinophils, which represent only transient contributors to the niche. We have now analyzed PC localization in relation to mineralized bone, bone marrow vasculature and hematopoietic cell types in 3 dimensions and found that PC niches are situated at large distance to sinusoids.ResultsSemi-automated 3D analyses of whole mounts allow for a comprehensive and unbiased quantification of PC localization and their possible interactions with accessory niche cells in the bone marrow. We show that the survival niche for long-lived PCs is located distant from sinusoidal blood vessels, in contrast to what has been reported for the hematopoietic stem cell niche. We are now testing ways to mobilize PCs from their niches, which should result in shifted PC localization - from vessel-distant to peri-sinusoidal spaces. We are further exploring ways to perform multiplexed histological analysis using multi-epitope ligand cartography (MELC) in the bone marrow in order to further characterize the plasma cell niche.Â
oai:ojs2.localhost:article/183
2018-06-19T09:09:45Z
dpath:EL
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http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/183
2018-06-19T09:09:45Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Development Of An Android Based Interactive Guide For The Berliner Medizinhistorisches Museum Der Charité
Klempert, Iris; Institute of Pathology, Charité - Universitätsmedizin Berlin, Berlin, Germany
Arndt, T.; University of Applied Sciences - HTW Berlin, Dept. Applied Informatics, Berlin, Germany
Schnalke, T.; Berliner Medizinhistorisches Museum, Charité - Universitätsmedizin Berlin, Berlin, Germany
Hufnagl, P.; Institute of Pathology, Charité - Universitätsmedizin Berlin, Berlin, Germany,
University of Applied Sciences - HTW Berlin, Dept. Applied Informatics, Berlin, Germany
Charité - Universitätsmedizin Berlin, Centralized Biomaterialbank (ZeBanC), Berlin, Germany
Zerbe, Norman; Institute of Pathology, Charité - Universitätsmedizin Berlin, Berlin, Germany,
University of Applied Sciences - HTW Berlin, Dept. Applied Informatics, Berlin, Germany
Charité - Universitätsmedizin Berlin, Centralized Biomaterialbank (ZeBanC), Berlin, Germany
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/183
Introduction/ BackgroundPathology is the science of diseases that ranges from macroscopic to histologic, and of course molecular changes. To offer a holistic education we wanted to involve portable electronic devices to combine information on diseases with microscopic changes and formalin fixed organs (macroscopic preparation).AimsAt the time of compilation of this application there was no alternative, useful solution that offers the possibility of extensions towards virtual microscopy. Moreover, other solutions always use fixed databases or do not provide tools for content updates. Hence, it was required to create an appropriate system. Additional aimed feature are high performance, data-caching and the opinion to use the app in offline mode without a network connection. By the reason of the large amount of smartphone and tablet computer that runs the Android operating system and cheaper devices this platform was used.MethodsWe combined our virtual microscope „AndroScope“ [1] with a new developed user-interface of the „Berliner Medizinhistorisches Museum“(BMM) for android based mobile devices such as smartphone and tablet computer. As content we used images of the exhibition samples, information on the corresponding organ and disease, as well as the epidemiology data and whole slide images for visualization of histological changes. Linkage of digital content and samples is realized using QR-codes to assure valid and user-friendly recognition. We have also evaluated other technologies such as NFC, Bluetooth, WiFi or GPS to ensure that the QR-Code solution is the best opinion [2]. The application offers an online mode with full functionality and an offline mode with limited access to images as well as to the virtual microscope. The application main database is stored local on the android device and online update capabilities were added.ResultsThe “BMM Guide†is available for all visitors of the museum on lendable devices or for students (professional audience) using their personal devices and installing the application manually via the web-access eduroam. The guide is connected to the internet. It is designed to easily expand, update or transfer the content catalogue data. At the moment there is a connection between the exhibit and text-, image-, video- or virtual microscope content via QR-Code. The offline mode is limited to the connection between text content and the exhibit. We also implemented a multi-language support for English and German. The application has information like room plans, opening times and latest news of the museum. The museum guide is an easy handable, selfexplaining blended learning tool that can be embedded in the general education. .This guide for the exhibitions of the Berliner Medizinhistorisches Museum opens a new branch for self-study of students. Nevertheless he still has a potential to be integrated in curricular lectures in the future.
oai:ojs2.localhost:article/199
2018-06-19T09:06:43Z
dpath:TP
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http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/199
2018-06-19T09:06:43Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Towards Efficient Collaborative Digital Pathology: A Pioneer Initiative Of The FlexMIm Project
Racoceanu, D.; Sorbonne Universités, UPMC Univ Paris 06, CNRS, INSERM, Laboratoire d’Imagerie Biomédicale (LIB), Paris, France
Ameisen, D.; University Paris Diderot, Paris, France,
Veillard, A.; Sorbonne Universités, UPMC Univ Paris 06, CNRS, Image & Pervasive Access Lab (IPAL), Singapore, Singapore
Ben Cheikh, B.; Sorbonne Universités, UPMC Univ Paris 06, CNRS, INSERM, Laboratoire d’Imagerie Biomédicale (LIB), Paris, France
Attieh, E.; UPMC Univ Paris 06, Paris, France
Brezillon, P.; Sorbonne Universités, UPMC Univ Paris 06, CNRS, Laboratoire d’Informatique de Paris 6 (LIP6), Paris, France
Yunès, J.-B.; University Paris Diderot, LIAFA, Paris, France
Temerson, J.-M.; Orange Labs, Orange Group, Grenoble, France
Toubiana, L.; Orange Group, Paris, France
Verger, V.; Tribvn, Chatillon, France
Pomerol, J.-F.; Tribvn, Chatillon, France
Klossa, J.; Tribvn, Chatillon, France
Lallemand, F.; Pertimm, Asnières, France
Constant, P.; Pertimm, Asnières, France
Capron, F.; UPMC Univ Paris 06/Hosp Pitié-Salpétrière-APHP, Service de Pathologie, Paris, France
Guettier, C.; University Paris Sud/Hosp Kremlin-Bicetre-APHP, Le Kremlin Bicêtre, France
Phan, N.; Hosp St-Louis-APHP, Paris, France
Bertheau, P.; University Paris Diderot / Hosp St-Louis APHP/INSERM UMR-S-1165, Paris, France
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/199
Introduction/ BackgroundThe development of digital resources for pathologists is a long process before truly validated algorithms can be used in daily practice.AimsIn addition to developing new tools for helping Whole Slide Image (WSI) analysis by pathologists, the cooperative research project FlexMIm aims at setting up a shared platform allowing further technological improvements to be tested and evaluated online by a community of pathologists.MethodsThe FlexMIm consortium includes 27 pathology laboratories in the Paris area (coordinated by Assistance Publique-Hôpitaux de Paris), research laboratories from University Pierre et Marie Curie (UPMC Univ Paris 06) and University Paris Diderot, as well as 3 companies: TRIBVN, PERTIMM and Orange (project coordinator). Based on a cloud architecture, the project embeds a dedicated WSI database and visualisation support. Groups of partners developed dedicated algorithms. These algorithms have been tested separately, then integrated into the online platform. A large test and validation protocol, involving operational versions of these algorithms, is on-going among the 27 pathology laboratories participating to this project.ResultsOne algorithm was built for blur detection in WSI in order to improve the quality of the workflow. Other quantitative algorithms were built for immunohistochemical counts such as Ki67, for mitosis detection from H&E (Hematoxylin – Eosin) stained WSI and for supporting the detection of Regions of Interest (ROI) for dysplasia screening in inflammatory bowel diseases (IBD). A series of algorithms (as gland detections in IBD) are at the proof of concept stage. Dedicated semantics and research engine are included in the platform, supporting the ROI collaborative annotations in WSI. The ontology used is generated by an operational contextual graph produced and validated for IBD diagnosis, consolidated by a semantic template linked to the annotations of IBD WSI. Another collaborative tool on the platform allows the online implementation of ontologies, with creation and edition of concepts. A full IBD diagnostic ontology is already available and a prostate cancer diagnostic ontology is underway. A major point of this platform is that all participating pathologists can finally evaluate online all the resources developed during the project. Anonymised WSI uploaded by each pathologist can be annotated by all other pathologists. These WSI can then be analysed by all the algorithms and tools available in the platform. Pathologists can eventually fill evaluation forms that are analyzed by the project steering committee. Beside online resources, another goal of FlexMIm was to implement tools for faster WSI communication through networks especially in low bandwidth environments. The pathologists used a test bed in order to evaluate several compression algorithms on several visualisation devices (laptop, tablets), eventually leading to a “smart transportation†algorithm that can be activated in case of non-optimal network. Within 3 years, FlexMIm partners have thus built a platform which now integrates a whole set of algorithms to foster digital pathology adoption by a large cluster of Pathology laboratories.Â
oai:ojs2.localhost:article/14
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2018-06-19T09:07:28Z
Diagnostic Pathology
2015
Texture and object related image analysis in microscopic images
Kayser, Klaus; Charite - Berlin
Borkenfeld, Stephan
Djenouni, Amina; Pathology Institute, Batna (Algeria)
Kayser, Gian; Institute of Pathology, University, Freiburg, Germany
2015-05-26 00:00:00
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/14
Tissue-based diagnosis; content image analysis; MST entropy; Immunohistochemistry; Glycohistochemistry; Segmentation
en
Background
Tissue based diagnosis or surgical diagnostic pathology undergoes significant changes and focuses on image content analysis in our days. Herein we describe and discuss new approaches of content image analysis and compare their applications, benefits and constraints.
Theory
Any useful microscopic image contains information that can be evaluated and transferred into a tissue-based diagnosis. A correctly derived diagnosis depends upon the image information and the pathologist’s knowledge, i.e. his ability to recognize and transfer the image content information into clinical application. Thus, image information is related to external “disease†information and “pure†image content information. Application of external image information requires a separation of objects from the background, or segmentation procedures. “Pure†image information is solely pixel based. It can be analyzed using different approaches, such as entropy measure, construction of image primitives and their spatial distribution, or image similarity operations. Our approach uses entropy calculations dependent upon all possible gray value thresholds in combination with syntactic analysis of pixel based image primitives.
Implementation
Virtual slides underwent the evaluation of regions of interest (ROI) as described previously. ROIs were interactively controlled and subject for application of developed image analysis procedures. The “classic method†of object recognition and syntactic structure analysis is applied too. Trials were performed on antie Her2_new stained, DAB visualized, and glycohistochemically stained, AP visualized slides. The images were measured at magnifications, which correspond to x20, and x40 objectives.
Results
The algorithm displayed only weak changes of the evaluated gray level based structural entropy (GL-MST)-entropy in the selected ROIs in contrast to the whole image. In addition, significant differences could be obtained when the measures were associated to the clinical impact (diagnosis, fetal developing stage).Conclusions: Images textures and pixel primitives can serve for evaluating “pure†image content information. They do not require segmentation and additional external information for measurement. Interpretation of the measures, i.e. external information can be implemented at a later stage. The described algorithm is probably applicable for image analysis of different fields such as histology, forests, traffic, or can serve for objective image quality evaluation.
oai:ojs2.localhost:article/220
2018-06-19T08:59:53Z
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2018-06-19T08:59:53Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Analysis of Color Standardization Methods for the Automatic Quantification of IHQ Stain in Breast TMA
Fernandez-Carrobles, M. M.; Universidad de Castilla-La Mancha, VISILAB, Ciudad Real, Spain
Deniz, O.; Universidad de Castilla-La Mancha, VISILAB, Ciudad Real, Spain
Bueno, G.; Universidad de Castilla-La Mancha, VISILAB, Ciudad Real, Spain
2016-10-03 21:57:04
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/220
Introduction/ BackgroundIHC biomarkers in breast TMA samples are used daily in pathology departments. This generates large amounts of information, which requires careful analysis [1]. Automatic methods to evaluate positive staining have been investigated since they may save time and reduce errors in the diagnosis that are due to subjective evaluation.AimsThe aim of this work is to develop a density tool able to automatically quantify the positive brown IHC stain in breast TMA. One of the problems when dealing with stained samples is color variation and distortion [2]. This is due to several factors such as the fixation process, the amount of stain or the digitalization process. One solution to the color variation problem is to apply standardization of reagents and procedures in histological practice. However, stains fade over time and therefore, it is not possible to achieve complete standardization with the current technology. In this paper, different methods for stain normalization have been analyzed and compared in density quantification.MethodsThe methods implemented for stain normalization are based on the use of color distribution by means of dominant color descriptor, scalable and color structure descriptor. These algorithms adjust the color values of an image on a pixel-by-pixel basis so as to match the color distribution of the source image to that of a target image. Then, two main processes were performed to estimate TMA density: a) evaluation of total cylinder area and b) quantification of IHC stained area. For the 1st process, the algorithm distinguishes between normal, broken or distorted cylinders. The 2nd process deals with the evaluation of the positive brown pixels inside the cylinder. The segmentation is based on Lab thersholding together with binary thresholding applied to the H, S and B channels of the HSV and RGB color models. Finally, the tool segments all the positive areas and quantifies the brown density areas.ResultsA dataset of 879 TMA images were used to evaluate the methods. TMAs were prepared with an automatic tissue arrayer (Arraymold tool) composed of 50 holes/TMA with a cylinder diameter of 2mm. Slides were stained using different IHC stains, that is, CD1A, CD4, CD8, CD21, CD57, CD68, CD83, CD123, CK19, OXP3, LAMp3 and S100. The acquisition of the digital TMA images was done with Aperio ScanScope XT scanner at 40x (0.25 µm/ pixel). Afterwards, each cylinder image was individually extracted [3]. The use of color standardization makes the segmentation robust and free of parameter setting. Furthermore, the standardization process is able to reduce noise and facilitate the density quantification. The results were compared to manual density quantification by expert pathologists. The tests carried out provided up to 98% agreement when color standardization was applied against 90% without color standardization. The biggest error comes from FOXP3 samples.
oai:ojs2.localhost:article/92
2018-06-19T09:01:44Z
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2018-06-19T09:01:44Z
Diagnostic Pathology
2015
How do I diagnose Odontoma
Mrachacz, Andreas
Kayser, Klaus
Kühnel, Thomas
Pappa, Spiridula
Schmidt, Frank
2015-12-10 00:00:00
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/92
Odontoma, complex type; Paradontosis, calcification; Posterior maxilla; Exctraction
en
This 17 year old man of Turkish descent developed a solid somewhat painful mass at the region 37. X-rays displayed with a solid bony density measuring 4 * 5 * 4 mm. The lesion was extracted. Histological examination revealed a solid non structured circumscribed cementum mass with a small central bony area and some surrounding fibrous fibers. Postoperative course was unsuspicious.
oai:ojs2.localhost:article/211
2018-06-19T08:55:24Z
dpath:EL
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2018-06-19T08:55:24Z
Diagnostic Pathology
Vol 2 No 1 (2016): 2016
Open Access Publication in Pathology – Advantages, Constraints and new Tools
Carvalho, Rita; Central Lisbon Hospital Center, Department of Pathology, Lisbon, Portugal
Borkenfeld, Stephan
Kayser, Klaus
2016-10-10 16:22:53
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/211
Open Access Publication, Pathology, Virtual Slides, review forum, automated measurements.
en
BackgroundOpen access journals are financed by authors (i.e. research grants), rather than by readers or subscribers. This business model allows a world – wide uncontrolled distribution of medical information and scientific knowledge. The financial of shifting the finance and the opportunities for misuse raise significant concerns regarding non – scientific impact and article content integrity. Herein we report and discuss ideas and experiences of open access publication focusing on diagnostic pathology.Material and MethodsOur experiences are drawn from an electronic communication network in pathology that includes the open access online journal diagnosticpathology.eu. The network includes a) the journal www.diagnosticpathology.eu, b) the Virtual International Pathology Institute (www.diagnomx.eu/vipi), c) several scholar atlases (a selection of common and rare lung diseases (Digital Lung Pathology), an atlas of fine granulate & natural and synthetic mineral fibers, a virtual slide atlas (in preparation)). The journal offers the opportunity to publish case reports “beside the microscope†and to submit data for “interactive publicationâ€. Both tools are unique, and cannot be found elsewhere. For publication of suitable articles, we demand the submission of glass slides, which will become completely digitized (virtual slides, VS).Results and ExperiencesThe journal is online since March 2015, and the only completely financially independent open access journal in medicine. We have published several case reports under the headline “How do I diagnose…?†The presented form offers a guide through the article and permits a complete publication “besides the microscopeâ€, commonly in less than one hour. Automated links to reference search items are included as well as virtual slides. The strict publication format permits fast submission of unique or interesting cases, and, in addition, the implementation of the publication into a case – related open and flexible image date bank.ConclusionsThe mandatory inclusion of virtual slides is a unique quality control. The journal diagnosticpathology.eu is embedded in a cloud that will consist of an archive of published cases with virtual slides, an express review forum with a corresponding duty plan, an automated measurement system of histological slides, and open access atlases such as hazards of natural and artificial fibers (fine granulate) and a collection of all known pulmonary diseases. Diagnosis assistants and image databanks customized according to the needs of an individual user (reader, author, consultant, automated measurements, etc.) will be available in the near future too.
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2018-06-19T09:03:24Z
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2018-06-19T09:03:24Z
Diagnostic Pathology
Vol 2 No 1 (2016): 2016
How do I diagnose Extramedullary Hematopoiesis
Carvalho, Rita
Mafra, Manuela
2016-04-29 12:35:07
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/107
Extramedullary hematopoiesis; Extramedullary myeloid sarcoma; : Posterior mediastinum, para-vertebral mass; CD34, CD117, TdT
en
Extramedullary hematopoiesis occurs in bone marrow disorders and is most commonly seen in thalassemia and myelofibrosis. We present a case of a 58 year-old male, with a history of thalassemia, which presented with a para-vertebral mass composed of hematopoietic tissue. When considering the differential diagnosis, a primary concern was an extramedullary proliferation of neoplastic hematopoietic elements, like extramedullary myeloid sarcoma. Neoplastic extramedullary proliferations can consist of triline age marrow elements and closely mimic the appearance of benign extramedullary hematopoiesis. The morphologic appearance may be a diagnostic clue, but cannot be completely relied upon.
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2019-08-22T15:37:30Z
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2019-08-22T15:37:30Z
Diagnostic Pathology
Vol 3 No 1 (2017): 2017
Cytology consultations with associated image quality evaluation – experiences of the Virtual International Pathology Institute (VIPI)
Kayser, Gian; Institute of Pathology, University of Freiburg, Freiburg, Germany
Borkenfeld, Stephan; International Academy of Telepathology, Heidelberg, Germany
Ayad, Essam; Institute of Pathology, Cairo University, Cairo, Egypt
Djenouni, Armina; Institute of Cytology and Pathology, Batna, Algeria
Mariamidze, Armaz; Institute of Pathology, National Cancer Center, Tblisi, Georgia
Mkhitaryan, Armen; HistoGen, Armenian-German Practical Scientific Center of Pathology, Yerevan, Armenia
Kayser, Klaus; Institute of Pathology, Charite, Berlin, Germany
2017-12-28 15:12:57
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/253
Background: The virtual international Pathology Institute (VIPI, www.diagnomx.eu/vipi) is the only image consultation forum that is organized in close organization to a conventional institute of pathology. Its approximately 160 experts in pathology and cytology consult and diagnose difficult cases on the basis of a convent weekly duty plan. Herein we report the consultation results of a specific series of cytology specimens, and discuss potential application in routine virtual cytology.Material and Methods: Still images of fine needle aspirations sent for consultation to VIPI were evaluated by five members of VIPI. A total of forty and seven cases was analyzed, and scored in four classes (benign, probably benign, probably malignant, and malignant). In addition, the consultants evaluated and graded their impression of colour, focus and general image quality in 10 classes (10 = very good <> 1 = not acceptable). Automated measurements of objective image quality, calculation of the regions of interest (ROI), and automated diagnosis classifications were performed too.Results: The experts’ diagnostic conformity was computed 4.2/5; i.e., at average 4.2 experts stated the same diagnosis of each case. The automated classification supported the summarized experts’ diagnoses in 38/47 cases. The experts interpreted the image quality diversely. Two of them evaluated with tendency of low, and two of them of high grades. The individual interactive image quality evaluations showed statistically significant relationship to the diagnostic accuracy (p<0.05). A helpful and correct automated ROI detection was stated in more than 95% of images.Conclusion: The study indicates that electronic transmission of acquired conventional cytology smears is a useful tool to get access to experts’ knowledge worldwide. The case related diagnostic agreement of experts can serve for gold standard of virtual cytology (for example conformity > 80%). Additional automated measurements might support the diagnosis. Implementation of virtual slide technology and automated ROI visualization are additional tools in order to support the diagnostic accuracy. Virtual international pathology institutions are able to successfully work together with or even replace conventional cytology laboratories.
oai:ojs2.localhost:article/129
2018-06-19T09:14:47Z
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2018-06-19T09:14:47Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
The Use Of Smartphones As Adjuvant Tool In Cervical Cytologic Diagnosis
Ali, Leila; Victor Babes’ National Institute of Pathology, Pathology, Bucharest, Romania
Moldovan, Valentin Tiberiu; Victor Babes’ National Institute of Pathology, Pathology, Bucharest, Romania
Sajin, M.; Bucharest University Emergency Hospital, Pathology, Bucharest, Romania
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/129
Introduction/ BackgroundCervical cancer is still one of the world’s deadliest forms of cancer for women, and the Pap smear remains the main screening test for prevention and early detection. Pap test is convenient and inexpensive, but, as was reported, there are variation in the sensitivity and specificity. Current smartphones allow the acquiring and transmission of static digital images, representing a cost efficient form of telepathology. AimsWe report our experience in using smartphones and an instant messaging application to improve the cytologic diagnosis by teleconsultation. MethodsThe samples were conventional Pap smear and liquid base cytology slides. The images were taken by two of the authors, both junior pathologists, with the use of a Samsung Galaxy S3 Neo smartphone (8 MP, autofocus, Digital image stabilization) and a Zeiss PrimoStar micro- scope (415500-0057-000), 10x objective. We used the instant messaging application features to take the pic- tures and instantly send them to our fellow pathologist (if the images were resolution and focus suitable), then discuss the images in real time, using the chat optionsof the phone application. After reviewing the images together, and reaching to a conclusion, the images were submitted to an experienced pathologist in the same manner. They were reviewed a second time, and the results compared. ResultsThe most common diagnosis we discussed on was ASC-US (19 cases), followed by L-SIL (6 cases) and NILM (5 cases). After we analysed and compared the data, we found that the time frame for diagnosis has improved. For the cases with divergent opinion we asked a third opinion to a colleague for the difficult cases. Conse- quently a senior pathologist review the glass slides and we compared the results with the digital diagnosis. The camera resolution was not limitative in this case, the used field power being 10x, thus the resolution and de- tails were not impaired by the smartphone camera and instant messaging app limitations. Comparing our expe- rience with the interobserver agreement on ASCUS and LSIL categories on glass slides we consider ‘smartphone’ pathology a useful tool. The use of smartphones allows junior pathologists to transmit Pap test consultations to senior pathologists and to ask for second opinions among fellow colleagues, improving costly effective the diagnosis accuracy.Â
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2020-02-26T13:29:28Z
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2020-02-26T13:29:28Z
Diagnostic Pathology
Vol 6 No 1 (2020): Vol 6 No 1
Development of Telepathology in Europe – in commemoration of Professor Etienne Martin
Kayser, Klaus; Charite - Berlin
2020-02-23 00:00:00
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/277
Implementation of telepathology in Europe started in the late 1980th and was actively promoted by an international European team of well - known pathologists. They formed a group of innovative colleagues, informed each other of their research goals and organized a series of European Telepathology Scientific Conferences which lasts until today.In their early days their main interest focussed on remote and straight forward frozen section services followed by consultation activities, and less often by image quantification and analysis.Now-a-days most members of the group were retired, others passed away.Therefore, it seems indicated to retrospectively analyse some early activities of telecommunication in pathology, to validate the results and specific conditions, and to commemorate the involved actors.One of the main players was Professor Etienne David Martin, Paris, who passed away recently.Herein, we describe the predominant incidents, factors and actions of the pathologists who implemented and directed the present stage of telepathology, including image analysis and diagnosis assistance.
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2018-06-19T09:27:28Z
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2018-06-19T09:27:28Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Biobank Semantic Information Management With The Health Intelligence Platform
Seebode, Christian; ORTEC medical GmbH, Berlin, Germany
Ort, M.; 1ORTEC medical GmbH, Berlin, Germany
González Ãlvarez, S.; ORTEC medical GmbH, Berlin, Germany
Regenbrecht, C.R.A.; Institute for Pathology Charité Universitätsmedizin Berlin, Berlin, Germany
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/146
Introduction/ BackgroundTraditionally Biobanks were mostly used as repositories of cells and tissues. They are addressing scientific questions mainly for retrospective trials where stored tissues and cells can be used. This paradigm has been changing lately. Biobanks can play a different and more prominent role in the scientific process. In fact, the information contained in biobanks can fuel the scientific reasoning itself more than just accompanying it with management of specimens and data. Information management for biobanks should integrate all kinds of information from various sources including clinical records and documents to support flexible retrieval and analytics based on that information. One of the key concepts to support this is to treat the sample like the patient or donor. Selecting a sample for a research trial may be done based on real-time data from the clinical processes. This closes the loop and opens the iron curtain between clinical processes and clinical research. It is a key requirement for supporting research for precision medicine allowing for dynamic decisions and trial designs. Another important aspect is collaboration and sharing of important information preserving data security and patient safety. Informed consent should be dynamically integrated into the scientific process and support patient/donor literacy for the scientific question.AimsMore precisely we define requirements for biobank management systems to be:Collaboration and global sharing of data;Support for Scientific workflows and knowledge management;Association of genotype and phenotype data and Integration of patient records;Integration with registries and standards integration;Support for informed consent. MethodsWe present a biobank architecture based on our product ‘Health Intelligence Platform (HIP)’ that supports these requirements. We describe a way to support scientific reasoning directly with HIP and integrate sample management in a way that it contributes to scientific reasoning and outcome. The NLP semantic information extraction together with information extraction from (semi)structured sources provide a necessary integration to support the link between sample and clinical information. The semantic convergence model of HIP supports semantic queries based on an integrated semantic information base. Selecting samples or running analytics based on this information is possible in real time. The flexible knowledge management supports quick adaption of the knowledge base. Researchers are able to adapt the ontologies by visual interaction with the data sources and semantic tagging. The semantic workbench supports roundtrip engineering of ontologies and conflict resolution. We will present an evaluation framework that compares traditional biobank processes with HIP biobank management. We present the integration capabilities and provide an outlook to allow patient participation in research to address upcoming issues in precision medicine. Conclusion:Biobank management with HIP supports biobank management by providing tools and services for horizontal (across stakeholders, workflows and collaborations) and vertical (across institutions and disciplines) semantic integration of data into one common data model. HIP biobank management supports semantic retrieval of sample data and associated scientific and patient centered information. The HIP Core is used already and is used to identify patients for clinical trials based on information from clinical records and documents.
oai:ojs2.localhost:article/162
2018-06-19T09:10:30Z
dpath:DA
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/162
2018-06-19T09:10:30Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Estimating Liver Steatosis: Can Artificial Neural Network And Image Analysis Improve The Accuracy
Capar, A.; Ä°stanbul Technical University, Informatics Institute, Ä°stanbul, Turkey
Türkmen, I.; İstanbul Medipol University, Pathology, İstanbul, Turkey
Akhan, A.; Ä°stanbul Medipol University, Pathology, Ä°stanbul, Turkey
Saka, B.; Ä°stanbul Medipol University, Pathology, Ä°stanbul, Turkey
Cakir, A.; Ä°stanbul Medipol University, Pathology, Ä°stanbul, Turkey
Ramadan, S.; Ä°stanbul Medipol University, Pathology, Ä°stanbul, Turkey
Dogusoy, G.B.; Ä°stanbul Bilim University, Pathology, Ä°stanbul, Turkey
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/162
Introduction/ BackgroundLiver steatosis is very important in transplantation pathology as it directly influences the graft dysfunction. Pretransplant donor biopsy materials are evaluated by the pathologists, and degree of steatosis, especially large droplet steatosis (LDS) which is described as lipid droplets with a diameter of at least 15 micron, is estimated under light microscope. But when doing so, there can be great intra- and inter-observer variability. In order to overcome this problem several automated systems and image analysis methods are used.AimsThe most challenging issue for automated steatosis image analysis is to distinguish real oil droplets from sinusoidal regions. Although some morphometric features are employed to make this discrimination, whole feature space could not be represented for a fatty liver cell. In this study we have contributed a new approach, which tries to solve this discrimination issue with an artificial learning system.MethodsTen consecutive hematoxylin and eosin (HE) stained, formalin fixed paraffin embedded donor liver biopsies, reported by 2 pathologist, were evaluated by a third pathologist and steatosis percentage was given as total and LDS by using the percentage of area occupied by lipid droplets to total biopsy area. Automated image analysis was performed on about 200 photographs taken to represent the whole biopsy at X20 magnification by Zeiss Axio Scope.A1 microscope using Kameram™ software and established as percentage of LDS to total biopsy area. Segmented positive (oil) and negative (non- oil) components are labeled by an expert pathologist and after some preprocesses they are fed to an Artificial Neural Network for training. We have used about 1000 droplets for training and 1500 droplets for performance evaluation. The proposed scheme is utilized to calculate liver fat ratio on digital images and the results are compared with expert’s opinions.ResultsThere was great variation among pathologists and when compared to the automated analysis and pathologists were prone to overestimate the steatosis (Table 1). As this overestimation can lead to nonuse of the donor liver, the accurate assessment of the steatosis is critical. Since the biopsy is the gold standard for the assessment of steatosis, methodology of this examination should be as objective as possible. Our results show that automated assessment of liver steatosis is very useful in order not to loose donor livers, by overestimation. Automated image analysis used before were based on morphometric features of liver droplet regions, and usePatient IDSystem TDSSystem LDSExpert 1-2 TDSExpert 1-2 LDSExpert 3 TDSExpert 3 LDS18.85.53025251526.52.615103553862520353046.13.713815554.31.910825565.128325 78.24.320153520811.89.6302045259117.425153525Table 1: The total droplet steatosis (TDS) and large droplet steatosis (LDS) percentages estimated by the pathologists and calculated by the softwareof this Artificial Neural Network for training to discriminate sinusoidal areas from lipid areas reached a high accuracy. In this study, we proposed a new approach to discriminate lipid areas from sinusoids without using morphometric features, which needs be confirmed in a large cohort. The performance can be improved by employing some different pattern classification techniques such as Support Vector Machines as a future study.
oai:ojs2.localhost:article/178
2018-06-19T09:09:45Z
dpath:CWI
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/178
2018-06-19T09:09:45Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
The Effects Of Digital Workflow Support And Workflow Control For The Performance Of Routine Pathology
Haroske, Gunter; Dresden-Friedrichstadt General Hospital, Institute of Pathology, Dresden, Germany
Mörz, M.; Dresden-Friedrichstadt General Hospital, Institute of Pathology, Dresden, Germany
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/178
Introduction/ BackgroundAlthough the scanning technology for microscopic slides has been known for more than 15 years, its practical use in daily routine is still on the very beginning. Fast and reliable scanners enabled their increasing use in teaching, but not yet in consultation and primary diagnostics. So far the scanning is not handled as a process in the pathology laboratory by most of the pathology systems, leading to an interrupted workflow with delays and additional expenses. The requirement profiles for slide scanners can only be formulated with respect to their workflow integration.AimsThe effects of different degrees of workflow digitalization have been studied as to analyze the sources of possible benefits of digital pathology as well as to identify the bottlenecks and inconsistencies in the workflow control in a routine pathology laboratory. The adherence to existing IHE Technical Frameworks has been evaluated, too.MethodsPerformance statistics of routine pathology were evaluated in different phases of digital workflow control over more than 10 years in a medium-sized institute of pathology.Three phases were defined:Uncontrolled, but digitally supported workflow with digital dictation, digital macrophotography, digital microphotograpy at few pathology Workstations, and a “classic†pathology software system;Digital workflow control including digital dictation and digital photography;In a pilot study at the end of the evaluation period the additional benefits of slide scanning were estimated.ResultsIn the period between 2006 and 2015 a decrease of turnaround-time of roughly 40% was seen. Alone the effects of a (sub)total digital workflow control contributed about half of that effect. The implementation of slide-scanning did not add further acceleration so far, but enabled some additional functionality for improving quantitative reporting. This was achieved without an explicit commitment of the pathology software to standards in workflow control and with still leaving a few laboratory processes out of the control. Milestones and key elements of workflow management are reported in detail. Conclusion:All processes both in the laboratory and in the diagnostics have to be checked (and changed, if necessary) for being fit in a streamlined pathology workflow. The implementation of scanners into the routine diagnostics will enforce those essential developments leading to increased productivity and quality.Â
oai:ojs2.localhost:article/194
2018-06-19T09:06:44Z
dpath:EP
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/194
2018-06-19T09:06:44Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Correlations Between Interstitial Stromal Fibrillary Network And Disease Progression In Hepatitis C
Plesea, I.E.; University of Medicine and Pharmacy of Craiova, Pathology, Craiova, Romania
Uscatu, C.D.; University of Medicine and Pharmacy of Craiova, Pathology, Craiova, Romania
Serbanescu, M.S.; University of Medicine and Pharmacy of Craiova, Pathology, Craiova, Romania
Indries, M.; University of Oradea, Infectious Diseases, Oradea, Romania
Plesea, R.M.; University of Medicine and Pharmacy of Craiova, Pathology, Craiova, Romania
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/194
Introduction/ BackgroundSince the virus description in the 80s [1] , [2], the infection with hepatitis virus C (HVC) became a real health problem because 50-80% of acute HVC infections evolve to chronic hepatitis, from which 4–20% of patients develop liver cirrhosis within 20 years and, finally, the risk of developing HCC of patients with liver cirrhosis is 1–5% per year [3]. The principal stage of pathological processes is the interstitial space and mainly the portal areas. Fibrillary network, one of the important components of the interstitial space, undergoes dramatic and highly variable changes, fibrosis representing one of the elements of the morphologic triad of the pathologic conflict within the liver parenchyma.AimsThe aim of the study is to assess quantitatively the liver fibrosis on biopsy fragments of patients with virus C hepatitis (VCH) and to compare it with the fibrosis score described qualitatively in METAVIR system.MethodsThe studied material was represented by liver biopsies from 87 patients with VCH. Tissue fragments were processed following classical histological techniques (formalin fixation and paraffin embedment) and serial sections were stained, for each case, with Hematoxylin Eosin and Mason Trichrome. Tissue fragments images were acquired with a dedicated optical system, using   the X10 objective and the portal and periportal areas were acquired using X20 objective. The fibrosis was firstly assessed using METAVIR qualitative score for fibrosis (MV-F1, MV-F2 and MV-F3). There were no cases with no fibrosis or with cirrhosis. The quantitative parameters determined were: total area of examined hepatic parenchyma, portal spaces area, total area of fibrosis and area of portal fibrosis. The quantitative parameters calculated were: the percentage of the total parenchymal area represented by fibrosis (TF/TA-HP), the percentage of the parenchymal area represented by the portal spaces (PS-A/TA-HP), the percentage of the portal spaces represented by the portal fibrosis (PS-F/PS-A). The measurements were made with two dedicated software programs, after preceding software calibration. For numerical parameters minimum (MIN), maximum (MAX) mean (AV) values and standard deviation (STDEV) were calculated. For comparison with METAVIR fibrosis score grades, the values of quantitative parameters calculated were stratified in classes. For statistical analysis of the correlation between the quantitative and qualitative assessment of fibrosis, t-test (2-sample, unequal variance), One-Way ANOVA test and χ2 test were used.ResultsTF/TA-HP and PS-A/TA-HP correlated with the METAVIR degrees of fibrosis (Figure 1). Both correlations were statistically validated at very high significance level. (Figure 2). In turn, PS-F/PS-A didn’t correlate with the METAVIR degrees of fibrosis, as statistical tests revealed (Figures 1 and 2).So, in VCH, one of the main morphological aspects is the constant enlargement of portal spaces but with a reduced extension of the destructive and reparatory processes towards the lobule center. Collagen fibers production is not an accelerated process, being in a relative equilibrium with the reactive inflammatory cellular population as demonstrated by the relatively constant percentage of the portal spaces represented by the fibrillary structures.Figure 1. Figure 2.
oai:ojs2.localhost:article/3
2018-06-19T09:07:53Z
dpath:RES
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/3
2018-06-19T09:07:53Z
Diagnostic Pathology
2015
Specificities of Electronic Publication in Medicine
Borkenfeld, Stephan
Kayser, Klaus
2015-03-31 19:55:17
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/3
Open access publication; citation index; faked data; publication manufactories; globalization diagnostic pathology;
en
BackgroundElectronic Media are considered to be a useful tool to distribute scientific information in medicine. Starting in this century all main publishers use electronic information transfer and distribution, either solely by electronic media or in combination with conventional paper printing.TheoryInformation distribution and communication require a sender (author), a transport medium (visual or acoustic signals, telephone, radio, TV, printed journals), and a receiver (hearer, reader). Information distribution in science and medicine should permit an objective and non-biased understanding of the transferred information by the receiver (doctor). These actions should be repeatable in time and space. This aim is in contrast to emotional, business-oriented, or political information transfer that commonly wants to direct the receiver in a certain surge or emotion.ImplementationScientific, peer reviewed open access journals have been established since the beginning of this century. After a period of hesitation and resistance which lasted for about 10 years, now-a-days nearly all big publishing companies offer open access journals in their product line. Most of them still hold on paper printed journals in addition, others offer hybrid journals, i.e., paper printed information display contemporary with electronic distribution. The electronic structures differ from classic structures (different, subject oriented domains) to articles of different focus that are fully integrated in only one individual domain. The advantages and disadvantages of the different structures are discussed in detail.Conclusions and perspectivesInformation distribution and communication is one important issue of life. The progress of technology does not stop at the doors of research and practice in medicine. To the contrary, it promotes both, understanding, interpretation and innovation of research, and the practical application. These facilitations of promotion are accompanied by ease of falsification and faked data. Business models of open access publication open doors of temptations to undercut science by anticipated profit. Previously serious publishers are already spoiled, and the scientific community should be aware that global investors are already misusing modern communication in science and research for their profit interest.
oai:ojs2.localhost:article/215
2018-06-19T08:59:26Z
dpath:EP
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/215
2018-06-19T08:59:26Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Correlation Analysis of the Feto-Placental Parameters Et Intrauterine Growth Retardation
Gorianikova, I.; Kharkiv National Medical University, Kharkiv, Ukraine
Kononenko, O.; GI ‘Lugansk State Medical University’, Lugansk, Ukraine
Zinchenko, O.; GI ‘Lugansk State Medical University’, Lugansk, Ukraine
Antonova, O.; GI ‘Lugansk State Medical University’, Lugansk, Ukraine
2016-10-03 21:21:36
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/215
en
Introduction/ Background
A number of studies suggest that some disproportions and retardations in feto-placental growth may lead to various pathologies in adults.
Aims
The aim of the present work was to identify alterations in correlations between placental and fetal parameters in cases of intrauterine growth restriction (IUGR) at 20-25 weeks of gestation (wg).
Methods
18 cases with IUGR and high placenta/fetal weight index (PFI) have been compared with 20 controls in cases of induced abortions for socio-economic reasons at 20-25 wg. Recorded data included weights of placenta (PW) and fetus (FW), fetus length (FL), head (Ch), chest (Cch), abdominal (Ca) circumferences, fetal kidneys (KW), liver (LW) and heart (HW), as well as some indices(FPI, FW/FL, LW/PW, HW/PW, KW/PW). The correlation analysis of the morphometric data was performed.
Results
IUGR group had smaller parameters of FW, FL, Cch, Ch, and Ca. All IUGR cases had decreased LW; W and HW. PW was unchanged at 20-22 wg and increased at 23-25 wg, compared with controls. The negative correlation has been found between PW and LW/PW, FPI and LW at 20-22 wg, and between W and HW/PW at 23-25 wg. The longer gestation the more new positive strong correlations have been discovered within the IUGR group (between FPI and HW, KW, LW, KW/PW).
Conclusions: the study suggests that the increase in the number and the intensity of correlations between morphometric parameters might represent a discrepancy between the fetal and placental growth at 20-25 wg and alterations in fetal organ adaptation mechanisms, which may result in future pathologies.
oai:ojs2.localhost:article/86
2018-06-19T09:01:16Z
dpath:CAS
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/86
2018-06-19T09:01:16Z
Diagnostic Pathology
2015
Amelanotic metastasing melanoma mimicking lung cancer
Xhemalaj, Daniela Flamur; Department of pathology -University hospital of lung diseases-Tirana
Caushi, Fatmir; Department of Surgery-University Hospital of lung disease-Tirana
Ulazzi, Linda; Department of molecular Biology-Universita di Ferrara
Rinaldi, Rosa; Department of Pathology -Universita di Ferrara
Lanza, Giovanni; Deparment of patholology-Universita di Ferrara
Hafizi, Hasan; Head of Service of Pneumonology-University hospital center of lung diseases-Tirana
Alimehmeti, Mehdi; Head of Department of Pathology-University hospital Center-Tirana
Pumo, Gisela; Department of Pathology-University hospital Center-Tirana
Hasa, Asela; Department of Pathology-University hospital Center-Tirana
2015-10-30 00:00:00
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/86
Malignant Melanoma, Lung metastasis, Immunohistochemistry, Lobectomy.
Giovanni Lanza, University of Ferrara, Department of Pathology
en
Lung is one of the most common site of metastasis in patients with malignant melanoma. We report a 64 year old man, who was submitted to our hospital. He complained of increasing intensity of shortage of breath, cough, and loss of weight within the last weeks. Serum analysis was normal. X-ray and CT images displayed a circumscribed density in the lower left lung, suspicious for lung cancer. Bronchoscopy and biopsy indicated a non differentiated malignancy which could not be further classified. Excision of the lower left lobe and of mediastinal lymph nodes was performed. The post surgical definite histological diagnosis revealed an amelanocytic epithelioid melanoma (positive for HMB-45, S-100). Pathologists, pulmonologists and thoracic surgeons should be aware of different cell types of intrapulmonary malignancies although primary lung cancer contributes to the outstanding majority of large and solid lung lesions.
oai:ojs2.localhost:article/100
2018-06-19T09:04:46Z
dpath:CAS
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/100
2018-06-19T09:04:46Z
Diagnostic Pathology
Vol 2 No 1 (2016): 2016
Low Grade Well-circumscribed Well Differentiated Liposarcoma Developed in Fibroadenoma with Stromal adipose differentiation of the Breast; A Case Report
Ayad, Essam; Cairo University + Italian Hospital - Cairo
2016-02-04 00:00:00
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/100
Breast Fibroadenoma; Stromal Adipose differentiation; Well-differentiated liposarcoma.
en
Fibroadenomas are the most common breast tumor in adolescents and young women.They comprise  20% of benign breast masses and 12% of all breast masses in postmenopausal women. Smooth muscle metaplasia and adipose differentiation are uncommon forms of stromal differentiation encountered in a minority of fibroadenomas. Liposarcoma can arise from pre-existing benign lesions like phylloides tumour or from lipoid tissue in the breast. In this article we present a case of 38 year-old female who presented with a right breast mass which was clinically diagnosed as a case of fibroadenoma, but histologically showed a low grade well-circumscribed liposarcoma discovered in a pericanalicular type of fibroadenoma with stromal adipose differentiation. According to our knowledge, this the first case of a well-circumscribed liposarcoma arises in fibroadenoma of the breast. Virtual Slides: www.diagnosticpathology.eu/vs/2016_2_100/
oai:ojs2.localhost:article/250
2018-11-26T16:07:14Z
dpath:REV
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/250
2018-11-26T16:07:14Z
Diagnostic Pathology
Vol 3 No 1 (2017): 2017
Epigenetics in lung cancer: What do DNA-methyltransferases do?
Fehrenbach, Uli; Institute of Radiology, Department of Diagnostic and Interventional Radiology, Charité Campus Virchow-Klinikum, Berlin, Germany
Kayser, MD, Gian; Institute of Surgical Pathology
Department of Pathology
University Medical Center Freiburg
Freiburg
2017-08-11 11:07:36
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/250
Despite recent advances in molecular characterization and targeted therapy approaches, lung cancer still remains the number one killer among malignant diseases worldwide. After understanding the impact of genetic mutations on malignant transformation, epigenetic changes have been focused on in recent times. Several studies could elucidate the potential of epigenetic alterations to not only increase invasiveness of cancer cells in cell culture and animal models but also to contribute to autonomous cellular growth and thus malignant transformation itself. Thus, epigenetic changes are nowadays acknowledged as a hallmark in cancer. Several enzymes are involved in the epigenetic equilibrium of DNA methylation and demethylation, one family being DNA methyl transferases (DNMT). Here, we give a review of the impact of DNMTs on the biology of lung cancer and additionally present some of our results within this context. Further, we are also giving a perspective on future treatment options arising from the current literature and our results.
oai:ojs2.localhost:article/124
2018-06-19T09:14:11Z
dpath:DIM
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/124
2018-06-19T09:14:11Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Next Generation Biobanking - From Biorepository To Data Integration Center
Stephan, C.; Kairos GmbH, Bochum, Germany
Zünkeler, M.; Kairos GmbH, Bochum, Germany
Bieling, D.; Kairos GmbH, Berlin, Germany,
Saeger, K.; 3VMscope GmbH, Berlin, Germany
Lohmann, S.; Charité - Universitätsmedizin Berlin, Institute of Pathology, Berlin, Germany
Zerbe, Norman; Charité - Universitätsmedizin Berlin, Institute of Pathology, Berlin, Germany
Hufnagl, Peter; Charité - Universitätsmedizin Berlin, Institute of Pathology, Berlin, Germany
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/124
Introduction/ BackgroundBiobanks and their operators are gaining popularity. However, they face a range of growing challenges. Many of these biobanks used to be smaller and midsized collections of data and samples, but are now being developed into centralized networks within clinics and consortia. These large biobanks require the integration of as many sources of information as possible, including imaging data in addition to any relevant structured data. This is especially the case in the field of virtual microscopy. Data collection is increasingly being orchestrated by workflow based systems and must eventually be incorporated entirely into rule based IT-processes.AimsIn order to achieve this goal, the Charité University Medicine Berlin, VMscope GmbH, and Kairos GmbH formed a consortium in the framework of the joint project, “Biobanking 3.0â€, which is funded by the German Federal Ministry for Education and Research (BMBF). Furthermore, after this successful project, a second KMU funded project called POST (Patient-centric Open Multi Center Study Tool) will begin in the autumn of 2015 to expand the data integration to pathology information systems in a standardized manner.MethodsOne of the project goals is to use an IT-platform with an integrated workflow-engine to orchestrate all necessary processes and document all findings. Defined SOPs during sample extraction and information acquisition can be executed, and all result data can be made available to local research groups as well as project partners.ResultsThus, the platform pursues the research approach of personalized medicine, which requires exact controlling of therapy cycles in a logical and chronological order.
oai:ojs2.localhost:article/275
2019-07-05T16:06:17Z
dpath:RES
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http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/275
2019-07-05T16:06:17Z
Diagnostic Pathology
Vol 5 No 1 (2019): Vol. 5 No. 1 2019
Etiology and Pathogenesis of Sudden Cardiac Death
Guski, Hans; Institute of Pathology (Virchow Institute), Faculty of Medicine (Charité), University of Berlin
Kogan, Evgenya A.; Chair of Pathological Anatomy, First Moscow State University (Sechenov University)
Shvalev, Vadim N.; Cardiological Research Center Moscow of the Academy of Medical Science
2019-07-04 12:27:15
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/275
Background and definition: This article contributes to the current state of knowledge in etiology and pathogenesis of sudden cardiac death (SCD). SCD is a well - defined disease entity which recently approved international guidelines address (cardiac death within 1 hour). Etiology: The condition of coronary arteries contributes to common causes of SCD. Stenotic coronary artery sclerosis (80%) has been reported in most cases. In non-coronary causes (15%), cardiomyopathies (CMP) are frequently found, and alcoholic CMP dominates the CMP cohort. Genetically related causes are comparatively rare (5%). Pathogenesis: In pathogenesis, only the consecutives of coronary ischemia have been extensively studied, in contrast to non-coronary causes. Herein, only some (mostly infectious) forms of myocarditis have been investigated in detail. The pathogenesis of different causes of SCD is less well studied. These include pathologic changes of adrenergic and cholinergic heart nerves, of intra- and extra-cardiac ganglia and of the conduction system. Morphological changes that clearly explain SCD are still difficult to reproducibly detect in clinical-pathologic and forensic autopsy diagnosis because these lesions might morphologically at first manifest after 1 hour or even later. This statement holds particularly true for detecting early ischemic heart muscle cell deaths being the most common cause of SCD Conclusions: The reported methods and special staining have proven to be less suitable for routine diagnostics. Attempts are now undergoing to solve the problem by the use of specific antibodies. They provide evidence of immunoreactivity of ischemic damaged cardiomyocytes which can be detected even after prolonged postmortem lay times.
oai:ojs2.localhost:article/109
2019-08-22T16:01:36Z
dpath:RES
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http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/109
2019-08-22T16:01:36Z
Diagnostic Pathology
Vol 2 No 1 (2016): 2016
A sustainable visual representation of available histopathological digital knowledge for breast cancer grading
Traore, Lamine; Sorbonne Universités, UPMC Univ Paris 06, INSERM, Université Paris 13, Sorbonne Paris Cité, Laboratoire d’Informatique Médicale et Ingénierie des Connaissances en eSanté (LIMICS UMR_S 1142)
Daniel, Christel; Assistance Publique-Hôpitaux de Paris (AP-HP), CCS SI Patient, Paris, France
Jaulent, Marie-Christine; Sorbonne Universités, UPMC Univ Paris 06, INSERM, Université Paris 13, Sorbonne Paris Cité, Laboratoire d’Informatique Médicale et Ingénierie des Connaissances en eSanté (LIMICS - UMR_S 1142), 15 rue de l’école de médecine, Paris, France
Schrader, Thomas; University of Applied Sciences Brandenburg Magdeburger, Department Informatics and Media, Brandenburg, Germany
Racoceanu, Daniel; Sorbonne Universités, UPMC Univ Paris 06, CNRS, INSERM, Laboratoire d’Imagerie Biomédicale (LIB), 75013, Paris, France
Kergosien, Yannick; Département d’Informatique Université de Cergy-Pontoise, Cergy-Pontoise, France
2016-06-28 15:49:20
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/109
Breast cancer grading, semantic annotation, knowledge formalization and modeling, standardization, computer aided diagnosis, high-content image exploration, digital pathology
en
Background: Recently, anatomic pathology (AP) has seen the introduction of several tools such as slide scanners and virtual slide technologies, creating the conditions for broader adoption of computer aided diagnosis based on whole slide images (WSI). This change brings up a number of new scientific challenges such as the sustainable management of the explicit and unambiguous semantics associated to the diagnostic interpretation of AP images by both humans (pathologists) and computers (image analysis algorithms) . In order to reduce inter-observer variability between AP reports of malignant tumors, the College of American Pathologists edited more than 60 organ-specific Cancer Checklists and associated Protocols (CAP-CC&P). Each checklist includes a set of AP observations that are expected to be reported by pathologists in organ-specific AP cancer reports. Our objective was to i) identify the available histopathological formalized knowledge from NCBO Bioportal and UMLS metathesaurus in the scope of the CAP CC&P for breast cancer grading and ii) to build a sustainable visual representation of this knowledge using UMLS semantic types.Methods: Our methodology was applied on the two breast cancer CAP-CC&Ps dedicated to invasive carcinoma (IC) and ductal carcinoma in situ (DCIS). We focused on a subset of quantifiable AP observations of the CAP-CCs - i.e. observable entities that could be computed by image analysis tools and on the corresponding notes in the protocols that unambiguously describe how pathologists should derive a high-level observation (e.g. Nottingham score) from low-level morphological characteristics observed in images (e.g. mitotic count or glandular/tubular differentiation).The notes were annotated manually by two AP experts (gold standard) and automatically by NCBO Annotator using the 508 ontologies available on the NCBO platform. A sub-set of reference ontologies was selected based on their capacities to automatically identify concepts in the notes and compared to the subset of ontologies selected based on their capacity to identify the concepts identified by experts (gold standard). Once automatically extracted from the notes, the concepts belonging to different ontologies, were integrated into a unique graph and organized according to UMLS semantic types.Results: The most relevant biomedical ontologies to be used for the annotation of the notes describing quantifiable observable entities of breast cancer CAP-CC&Ps are SNOMED-CT, LOINC, NCIT, NCI CaDSR Value Sets and PathLex. A visual representation integrating 25 concepts from the 5 different ontologies organized according to 11 UMLS semantic types was built to support AP experts for building a formal representation of the low-level quantifiable entities automatically extracted from the CAP-CC&Ps notes.Conclusion: The proposed approach and tools, based on the CAP-CC&Ps, aim at supporting AP experts in building a standard-based representation of low-level morphological abnormalities observed in cancer that can be quantified using image analysis tools. This effort is complementary to the Integrating the Healthcare Enterprise (IHE) initiative building a standard-based representation of high-level AP observations required in cancer AP reports. Additional efforts are needed to achieve a workable standard-based formal representation of histopathological knowledge integrating both observable entities reported by humans (pathologists) and quantifiable entities automatically computed by machines. Providing such unique formal representation paves the way for more efficient use of computer aided diagnosis in AP as well as for the development of new biomarkers based on automatic analysis of whole slide images (WSI).
oai:ojs2.localhost:article/157
2018-06-19T09:10:31Z
dpath:CAD
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2018-06-19T09:10:31Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Computer-Assisted Inflammation Analysis Of Kidney-Graft Biopsy To Improve Risk Stratification In Allograft Rejection
Meas-Yedid, Vannary; Institut Pasteur, Cell Biology and Infection, Paris, France
CNRS, UMR 3691, Paris, France
Sicard, A.; Edouard Herriot Hospital, Nephrology, Transplantation and Clinical Immunology Department, Lyon, France
Rabeyrin, M.; Hospices Civils de Lyon, Pathology Department, Lyon, France
Koenigl, A.; Edouard Herriot Hospital, Nephrology, Transplantation and Clinical Immunology Department, Lyon, France
Ducreux, S.; Etablissement Français du Sang, Histocompatibility, Lyon, France
Dijoud, F.; Groupement Hospitalier Lyon EST, Pathology Department, Lyon, France
Badet, L.; Edouard Herriot Hospital, Urology and transplantation department, Lyon, France
Morelon, E.; Edouard Herriot Hospital, Nephrology, Transplantation and Clinical Immunology Department, Lyon, France
Olivo-Marin, J.-C.; Institut Pasteur, Cell Biology and Infection, Paris, France
CNRS, UMR 3691, Paris, France
Thaunat, O.; Edouard Herriot Hospital, Nephrology, Transplantation and Clinical Immunology Department, Lyon, France
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/157
Introduction/ BackgroundKidney graft biopsy plays a key role in diagnosis of antibody-mediated rejection (AMR), the major cause of renal graft failure. The diagnosis of AMR requires the presence of i) donor specific antibodies (DSA), and ii) microvascular inflammatory lesions on kidney graft biopsy.AimsHistological assessment relies onBanffclassification [1] that has quantitative and qualitative limitations and faces in terms of diagnostic accuracy and risk prediction:1)  this grading is categorical with risks of threshold effect;2)     the nature of inflammatory cells is not considered. Hence we propose a new method of computerized image analysis in order to finely characterize the quality and intensity of graft inflammation.MethodsData57 kidney recipients fulfilled theBanffcriteria for AMR between 2004 and 2012 at the Lyon Hospitals. Double immunohistological stainings were performed with CD31 (capillaries) and respectively CD68 (macrophages), CD3 (T lymphocytes), CD66b (granulocytes), CD20 (B lymphocytes). 288 glass slides were scanned  (MiraxScan, 20x, NA=0.8).AlgorithmsThe goal is to quantify the number of immune cells in the different parts of the kidney cortex. Due to the biopsy preparation such as biopsy slicing and image quality staining many variations within the observed object could happen and result to incorrect image segmentation. Hence we combine color component images to extract Regions of Interest (ROI) based on the use of their contextual data information in order to correctly extract the capillaries and immune cells. The algorithms are implemented in the Icy software (http://icy.bioimageanalysis.org) [2]. In the workflow: 1) color deconvolution [3], 2) pre-processing step to segment the pixel staining, 3) extraction of stained objects by combined information. The color deconvolution separates the initial image into 3 component-staining images: blue component for nuclei, brown component for capillaries and the purple one for immune cells. These component images are first preprocessed, by gaussian filtering and then by the k-means classification to segment the images. We combine the segmented ROI and their spatial relation to extract the objects of interest.Results34 patients had C3d+ DSA and 23 had C3d- DSA. Al- though allograft survival was lower in the C3d+ group (p<0,001 by log-rank),Banffscores for AMR were similar in the 2 groups (3.4±1.1 vs 3.5±1.2, p=0.65). In contrast, our approach revealed notable differences in graft inflammation between the two groups. The number of CD68 cells in the capillaries and in the interstitium allows identifying patients with a risk of graft loss (HR=3.18, p<0.01 et HR=2.62, p=0.01 respectively). The combining C3d test and quantification of monocytes in interstitium allow clustering patients into 3 groups of renal prognosis: C3d-, C3d+/CD68 low and C3d+/CD68 high (p<0.0001 by log rank; C3d+/CD68 high vs C3d+/ CD68 low: HR=2.43, p=0.04; C3d+/CD68 low vs C3d-: HR=4.99, p=0.006).The isolated C3d test has an excellent value negative prediction (89,5% for the 1 year graft loss) but perfectible positive prediction (52,9%) [4] . The monocyte quantification allows to accurate the prognosis of patients in the C3d+ group. Using this novel reproducible approach for topological quantification of inflammation, we observed that histopathological features of complement-binding DSA are different from that of non-complement. The computer-assisted analysis of graft inflammation improves the risk stratification of graft loss.
oai:ojs2.localhost:article/173
2018-06-19T09:09:06Z
dpath:STD
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http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/173
2018-06-19T09:09:06Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Anatomic Pathology Structured Report Under FHIR
Schrader, T.; University of Applied Sciences Brandenburg, Informatics and Media, Brandenburg, Germany
Libramm, J.; University of Applied Sciences Brandenburg, Informatics and Media, Brandenburg, Germany
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/173
Introduction/ BackgroundThe last version of profile for the structured report of IHE was created 2011(IHE). Many discussions took place to improve and adapt the model of described document models for clinical practice. The working group developed xxx templates to cover e.g. the main tumor locations and the requirements of various organizations about tumor documentation (e.g. CAP, national societies of pathology). The complexity of a Structured Report Document based on IHE and HL7 CDA structured increased. Up to now no German software vendor supports these templates directly. Another strategy was suggested by the German Working Group: the IHE should provide generic models usable for the other do- mains in pathology. But the general problem of missing implementation was not solved. The development of Fast Health Interoperability Resource (FHIR) began in 2012 and started a fascinating movement to prioritize the implementation over the theoretical correctness. The resources, documentation and examples are completely open and available under http://wiki.hl7. org/?title=FHIR .AimsIn a first approach we started to “translate†the structured pathology report based on the requirements of the technical framework. The aim was to analyze the usage of FHIR resources for the Anatomic Pathology Structured Report, simplify the document structure and increase the flexibility of document handling.MethodsAt first a complete report was created based on the CDA-XML-structure and model of the IHE Anatomic Pathology Working Group. The data based on a real, but anonymous case (many thanks to Prof. Haroske, Dresden, Germany). If possible each segment of CDA report was mapped to FHIR resources. The FHIR report consisting of different internal and external document fragments (resources) was evaluated by a public available FHIR communication server (http://spark.furore. com/fhir) to validate and verify this document.ResultsA first FHIR based structured report was created and validated against a public available FHIR server (http:// spark.furore.com/fhir). FHIR allows to create different document structures for any type of document: a document only with inside resources or a document with inside and outside (linked) resources. Our example consists of resources embedded in the main document file and linked resources. The FHIR document allows a great flexibility related to the document resources as well as data files. It is possible FHIR documents as XML, JSON (JavaScript Object Notation) or RDF (Resource Description Framework). Due to these various possibilities FHIR documents can be used in a web based application context easily.
oai:ojs2.localhost:article/189
2018-06-19T09:07:02Z
dpath:MIP
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http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/189
2018-06-19T09:07:02Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Diagnosis Of The Chronic Lymphocytic Leukemia (CLL) Using A Raman-Based Scanner Optimized For Blood Smear Analysis (M3s Project)
Fere, M.; MEDyC CNRS UMR 7369, UFR de Pharmacie, Reims, France
Liu, L.H.; MEDyC CNRS UMR 7369, UFR de Pharmacie, Reims, France
Gobinet, C.; MEDyC CNRS UMR 7369, UFR de Pharmacie, Reims, France
Beljebbar, A.; MEDyC CNRS UMR 7369, UFR de Pharmacie, Reims, France
Untereiner, V.; MEDyC CNRS UMR 7369, UFR de Pharmacie, Reims, France
Angiboust, J.-F.; MEDyC CNRS UMR 7369, UFR de Pharmacie, Reims, France
Manfait, M.; MEDyC CNRS UMR 7369, UFR de Pharmacie, Reims, France
Gheldof, G.; CHU Dinant Godinne, Namur, Belgium
Jacquemin, H.; CHU Dinant Godinne, Namur, Belgium
Walbrecq, S.; CHU Dinant Godinne, Namur, Belgium
Cornet, E.; CHU Caen, Caen, France
Troussard, X.; CHU Caen, Caen, France
Chatelain, B.; CHU Dinant Godinne, Namur, Belgium
Angelo, J.; CMM-ARMINES, Fontainebleau, France
Chollat, M.; TRIBVN, Châtillon, France
Klossa, J.; TRIBVN, Châtillon, France
Piot, O.; MEDyC CNRS UMR 7369, UFR de Pharmacie, Reims, France
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/189
en
Introduction/ BackgroundIn hematology, actual diagnosis of B chronic lymphocyte-leukemia (CLL) is based on the microscopic analysis of cell morphology from patient blood smear. However, new photonic technologies appear promising to facilitate and improve the early diagnosis, prognostic and monitoring of personalized therapy. The development of automated diagnostic approaches could assist clinicians in improving the efficiency and quality of health services, but also reduce medical costs.AimsThe M3S project aims at improving the diagnosis and prognosis of the CLL pathology by developing a multimodal microscopy platform, including Raman spectrometry, dedicated to the automatic analysis of lymphocytes.MethodsBlood smears were prepared on glass slides commonly used in pathology laboratories for microscopy. Two types of sample per patient were prepared: a conventional blood smear and a deposit of “pure†lymphocyte subtypes (i.e. normal B, CLL B, T and NK), sorted out in flow cytometry by using the negative double labeling technique. The second sample is used for the construction of a database of spectral markers specific of these different cell types. The preparations were analyzed with the multimodal machine which combines i) a Raman micro-spectrometer, equipped with a 532nm diode laser excitation source; ii) a microscope equipped with 40x and 150x lenses and a high precision xyz motorized stage for scanning the blood smear, and localizing x-y coordinates of representative series (~100 for each patient) of lymphocyte cells before registering three Raman spectra; these cells of interest being previously localized by an original method based on the morphology analysis. After the Raman acquisitions, the conventional blood smears were submitted to immunolabelling using specific antibodies. For the establishment of the Raman classifiers, this post-acquisition treatment was used as reference to distinguish the different lymphocyte sub-populations. Raman data were then analyzed using chemometric processing and supervised statistical classifiers in order to construct a spectral library of markers highly specific of the lymphocyte type and status (normal or pathological).ResultsCurrently, a total of 60 patients (CLL and healthy) were included in the study. Various classification methods such as LDA (Linear Discriminant Analysis), PLS-DA (Partial Least Square Discriminant Analysis), RF (Random Forest) and SVM (Support Vector Machine), were tested in the purpose to distinguish tumoral B lymphocytes from other cell types. These classification algorithms were combined with feature selection approaches. The best performances were around 70% of correct identification when a three-class model (B-CLL vs B-normal vs T and NK lymphocytes) was considered, and 80% in case of a two-class model (B-CLL vs B-normal lymphocytes). These encouraging results demonstrate the potential of Raman micro-spectroscopy coupled to supervised classification algorithms for leukemic cell classification. The approach can find interest more generally in the field of cyto-hematology. Further developments will concern the integration of additional modality such as Quantitative Phase Imaging on one hand to speed the exploration process of cells of interest to be probed, and on the other hand to extract additional characteristics likely to be informative for CLL diagnosis. In addition, the identification of prognostic markers will be investigated by confronting the photonic data to clinical patient information.Â
oai:ojs2.localhost:article/115
2018-06-19T09:02:14Z
dpath:RES
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http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/115
2018-06-19T09:02:14Z
Diagnostic Pathology
Vol 2 No 1 (2016): 2016
Efficient pathology case distribution leveraging workflow and domain modeling, and flexible definition of policies
Bucur, Anca; Philips Research
van Leeuwen, Jasper; Philips Research
Vdovjak, Richard; Philips Healthcare
2016-09-12 00:00:00
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/115
Case distribution; digital pathology; workflow modeling and optimization; automatic dispatching; workflow engine; rules engine
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BackgroundThe value of digital pathology and its potential to improve the current pathology practice are increasingly recognized, with a growing number of examples of successful implementation in a variety of use cases. While current widely-spread uses relate to research, consultation, second opinion and education, success stories are emerging demonstrating outcome and cost benefits of leveraging digital pathology for standard diagnosis as well. In all these cases optimization of pathology workflows, standardization and seamless integration in the environment are emphasized as prerequisites to reaching the desired improvements.AimsWe develop workflow-driven applications to enable clinical users to efficiently and effectively leverage deployed digital pathology solutions for faster diagnosis and better patient outcomes. The work addresses information integration requirements, and aims to identify and propose solutions for performance bottlenecks in existing processes. A process with potential for improvement is the case distribution to pathologists for diagnosis.Materials and MethodsWe propose an approach to workflow modeling and implementation that is open and flexible, and leverages existing standards (BPMN2.0) developed in the context of business process modeling and widely adopted in other domains. This enables efficient implementation and give us access to an existing platform (KIE) that delivers a workflow-engine (jBPM), a rule-engine (Drools), and a constraint satisfaction solver (OptaPlanner). By externalizing the definitions and implementations of tasks within the workflows, we build workflows that are adaptive to the environment and that can incorporate decision models and applications of the desired complexity. We selected case distribution for diagnosis as the first process to optimize and built an application that can be efficiently customized to the needs of each lab with respect to dispatching rules, operational domain model, optimization goals and visual elements.ResultsWe implemented a case distribution application that can be deployed within an integrated workflow implementation to optimize the distribution of cases to pathologists for diagnosis. To automatically assign cases to pathologists according to defined policies, the optimization component applies the defined policy model (scoring rules within the domain model). The schedules are generated according to the desired optimization goals, e.g. to improve throughput or turnaround. This application seamlessly connects with relevant systems in the environment, the LIMS and the IMS, in a loosely-coupled standard way through the integration engine to retrieve all needed data about the cases to be visualized and used in the dispatching decisions, and to provide the case assignation information to the IMS.ConclusionsThe optimization of the case distribution to pathologists for diagnosis has been identified in the literature as an important area when aiming at workflow improvements and automation of the processes in the pathology labs. A common theme emphasized by previous research identifying user needs and requirements for efficient digital pathology implementation is the use of standards to support adoption and the seamless integration with all relevant systems in the environment. Within a standards-based workflow-driven approach, we implement a case distribution application that optimizes the case assignation for diagnosis by modeling the local workflows and the requirements of each deployment site. The optimization component applies the local policy models (i.e. business rules, domain models with roles and characteristics, and optimization goals) to propose the most suitable solution for distributing the incoming case load among the available pathologists for diagnosis.
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2018-06-19T09:01:16Z
Diagnostic Pathology
2015
How do I diagnose metastatic giant cell tumor into lung
Kayser, Klaus; Charite - Berlin
Borkenfeld, Stephan
Serguieva, Krasi
Kayser, Gian
2015-08-15 00:00:00
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/65
Primary Osteosarcoma; Sarcoidosis; Tuberculosis; Interstitial pneumonitis and angiitis
en
This 26 years old male patient developed an osteoblastic tumor in the right os metatarsale I at the age of 21 years. The lesion was excised en bloc including the os cuneiforme and the m. extensor hallucis. After surgery a venal thrombosis occurred and was treated by thrombectomy and anti coagulation therapy. Five years later 9 intrapulmonary lesions were noted which were radiologically consistent with intra-pulmonary metastases. Two separate right and left lung surgeries were performed, and 17 active metastases of the left lung as well as 18 metastases of the right lung were excised. Post surgery course was inconspicuous. No cytostatic therapy was applied. The patient is still alive 13 years after surgery.Virtual Slides: www.diagnosticpathology.eu/vs/2015_1_65
oai:ojs2.localhost:article/226
2018-06-19T08:58:25Z
dpath:QAM
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/226
2018-06-19T08:58:25Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Blur Quantification of Medical Images: Dicom Media, Whole Slide Images, Generic Images and Videos
Ameisen, D.; Paris Biotech Santé, Université Paris Descartes, Paris, France,
IRIF, CNRS and Université Paris Diderot, Paris, France
Auger-Kantor, J.; Paris Biotech Santé, Université Paris Descartes, Paris, France
Ameisen, E.; Paris Biotech Santé, Université Paris Descartes, Paris, France
2016-10-03 22:45:41
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/226
en
Introduction/ Background
We have designed a quality assurance tool to quantify blur by quantifying the sharpness of custom-sized tiles composing an image, generating global results, detailed exchangeable logs and sharpness-maps regardless of their dimensions, quantity or acquisition rate [1]. We have now integrated the programming libraries and the standalone program we built to existing workflows and software, in order to improve quality assurance procedures.
Aims
When integrated in an acquisition workflow, the ability to map the quality of local areas inside an image allows to re-acquire parts of the image that were not scanned properly, or discard and re-acquire images when the global results fall under the thresholds set by the users. When integrated in an image analysis software, the regions of interest can be automatically chosen or suggested to the user according to the quality-map of the image to analyze, reducing the amount of incoherent analysis results. When integrated as a library in an image management platform, or as a standalone program in a storage server, a systematic quality check can detect de-calibration of the acquisition software, failed acquisitions that may be automatically deleted and users can be notified to re-acquire the images when below their quality-thresholds profiles. A quantified quality score can be inserted in each image’s metadata for traceability purposes. When integrated as a library in a local or remote image viewer, the best quality tiles can be sent first to the viewer, and magnification levels can be dynamically resampled for a better render.
Methods
One notable implementation, using our Java library, is inside the FlexMIm project [2], which includes 27 pathology laboratories in the Paris area (coordinated by APHP), research laboratories from University Paris 6 Paris 7, as well as 3 companies: TRIBVN, PERTIMM and Orange. All Whole Slide Images are systematically analyzed and mapped as they enter the platform. The focus map may be displayed on the web interface next to the thumbnail link to the WSI, or in the viewer as a semi-transparent layer over the WSI, or over the WSI map.
During the test phase and first integrations in laboratories and hospitals as well as in the FlexMIm project, more than 5000 whole slide images of multiple formats (Hamamatsu NDPI, Aperio SVS, Mirax MRXS, JPEG2000 …) as well as hundreds of thousands of images of various formats (DICOM, TIFF, PNG, JPEG ...) and videos (H264) have been analyzed using our standalone software or our C, C++, Java and Python libraries. Using default or customizable thresholds’ profiles, WSI are sorted as “acceptedâ€, “to reviewâ€, “to rescanâ€. In order to target the samples contained inside each WSI, special attention was paid to detecting blank tiles. Dynamic blank tile detection based on statistical analysis of each WSI was built and successfully validated for all our samples.
Results
More than 20 trillion pixels have been analyzed at a 3.5 billion pixels per quad-core processor per minute speed rate. Quantified results can be stored in JSON formatted logs or inside a MySQL or MongoDB database) or converted to any chosen data structure to be interoperable with existing software, each tile’s result being accessible in addition to the quality map and the global quality results. This solution is easily scalable as images can be stored at different locations, analysis can be distributed amongst local or remote servers, and quantified results can be stored in remote databases.
oai:ojs2.localhost:article/241
2019-08-22T15:59:05Z
dpath:RES
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/241
2019-08-22T15:59:05Z
Diagnostic Pathology
Vol 3 No 1 (2017): 2017
Phosphohistone 3 (PHH3) and lactate dehydrogenase 5 (LDH5) are expressed in ductal carcinoma in situ of the breast: possible clinical implications
Sillem, Martin; Praxisklink am Rosengarten
Augustaanlage 7-11
68165 Mannheim
Baum, Sascha; Universitätsklinikum Schleswig-Holstein, Klinik für Frauenheilkunde und Geburtshilfe Campus Lübeck.
Ratzeburger Allee 160, 23538 Lübeck
Engist, Stefanie; Universitätsklinikum Freiburg, Department für Pathologie, Institut für Klinische Pathologie
Breisacher Str. 115A
79106 Freiburg
Kayser, Gian; Universitätsklinikum Freiburg, Department für Pathologie, Institut für Klinische Pathologie
Breisacher Str. 115A
79106 Freiburg
Werner, Martin; Universitätsklinikum Freiburg, Department für Pathologie, Institut für Klinische Pathologie
Breisacher Str. 115A
79106 Freiburg
Timme-Bronsert, Sylvia; Universitätsklinikum Freiburg, Department für Pathologie, Institut für Klinische Pathologie
Breisacher Str. 115A
79106 Freiburg
2017-03-19 00:00:00
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/241
DCIS, PHH3, LDH5, Immunohistochemistry, clinical implications
en
Background: Proliferation and pre-malignancy are typical features of DCIS. The expression of PHH3 as a marker for proliferation and LDH 5 as an indicator for oxygen independent energy metabolism was investigated in order to assess their potential for an improved characterisation of these lesions.Methods: Archived tissue blocks and clinical records of 130 patients with DCIS. Immunohistochemistry for PHH3, LDH5, estrogen receptor (ER), progesterone receptor (PR), human EGF receptor 2 (HER2). Silverstein nuclear grading. Chi Square test for all factors.Results: Percentage of positive patients was 69% for PHH3, 94% for LDH5, 76% for ER, 67% for PR, and 21% for HER2. Significant correlation was seen between PHH3 and LDH5 expression. No correlation could be found for any of the other comparisons.Conclusion: This is the first description of PHH3 and LDH5 in DCIS. The biological significance of PHH3 remains to be determined in a larger set ofpatients. LDH5 may be a useful diagnostic marker in the future. Positive HER2 receptors were considerably less frequent than previously reported.
oai:ojs2.localhost:article/119
2018-06-19T09:14:11Z
dpath:SY01
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/119
2018-06-19T09:14:11Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Validation Of Virtual Double Staining For Estimation Of Ki67 Proliferation Indices In Breast Carcinomas
Røge, R.; Aalborg University Hospital, Institute of Pathology, Aalborg, Denmark
Riber-Hansen, R.
Nielsen, S.
Vyberg, Mogens
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/119
Introduction/ BackgroundKi67 is an important immunohistochemical marker of proliferation used in grading of breast cancer and endocrine neoplasms. Ki67 proliferation indices (PI) are calculated as number of Ki67 positive tumour cells divided by total number of tumour cells. However, manual counting and calculation of Ki67 proliferation index is laborious and prone to inter-observer variability. Recently, a computerized algorithm that enables virtual alignment of two consecutive slides stained for pancytokeratin and Ki67 has been developed. Digital image analysis (DIA) based on Virtual Double Staining (VDS) enables exclusion of stromal cells and calculation of Ki67 PI in tumour cells only.AimsThe purpose of this study was to validate the VDS algorithm by comparing manual counting and DIA on VDS for assessment of Ki67 PI in breast carcinomas.MethodsTissue Micro Arrays (TMA) were constructed with 158 cores of breast carcinomas. Two slides were cut from each TMA and immunohistochemically stained for pancytokeratin and Ki67. For each core, between 2-20% of the total core area were selected for exact manual counting of Ki67-positive and negative cells using the stereological principle of systematic uniformly random sampling. A minimum of 200 cells were counted. The same areas were then counted using the VDS algorithm. Additionally, the VDS algorithm was used to calculate Ki67 PI for each core. In order two analyze the importance of the distance between neighbouring slides five consecutive slides were stained for PCK. These slides were digitally fused and the percentage of overlap between stained and not stained areas calculated. Additionally, the VDS principle was used to examine differences in Ki67 PI when the immunohistochemical staining protocol was based on different antibody clones (Mib1, SP6 and 30-9) and staining platforms (Dako Autostainer, Leica Bond and Ventana Ultra).ResultsThere was good correlation (R2 >0.90, ICC >0.95) between manual counting in systematic randomized selected areas and DIA on VDS of both the whole core and in selected areas. Comparison of the two methods using Bland-Altman plots did not reveal any skewness in certain data ranges. Overlap agreement between neighbouring sections was on average above 88%, lower for diffusely infiltrating tumours than more solid tumours. Analysis revealed significant differences in calculated Ki67 PI between the different antibodies. The Mib1 and SP6 clones (concentrated format) were comparable on the Dako and Leica platform, while the average Ki67 PI for the SP6 clone was 44% higher on the Ventana platform. For the ready-to-use formats, Mib1 and MM1 based Ki67 PIs were 28% and 36% lower than average, while the clone 30.9 based Ki67 PI was 23% higher. In conclusion, DIA based on VDS may be an important future tool for improving accuracy and reproducibility of Ki67 PI in diagnostic and research settings.Â
oai:ojs2.localhost:article/265
2018-12-21T18:38:01Z
dpath:EDI
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/265
2018-12-21T18:38:01Z
Diagnostic Pathology
Vol 4 No 1 (2018): 2018
How to implement virtual microscopy in routine tissue – based diagnosis: Guidelines and Recommendations of the Federal Association of German Pathologists
Kayser, Klaus; Charite - Berlin
Kayser, Gian; Institute of Pathology, University of Freiburg, Germany
2018-09-08 05:32:16
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/265
TMA non small cell lung cancer
Liver biopsy LALD (Lysosomal Acid Lipase Deficiency)
Dermtofibrosarcoma protuberans
Digital Pathology has jumped over the first barriers and enters the world of routine tissue – based diagnosis (surgical pathology) slowly and continuously. Several large pathology institutions use virtual slides (VS) for routine diagnosis, store the images in digital archives, and digitize their workflow according to the needs of laboratory (LIS) and hospital information system (HIS).Development and implementation of communication standards as well as adequate certification and quality control units are mandatory if an adequate and secure diagnosis and treatment of patients should be maintained or amended.The publication of the translated guidelines of the Federal Association of German Pathologists should give our readers the opportunity to read the well designed and substantial document in its original version. We include a few representative virtual slides in our editorial in order to demonstrate the actual performance of virtual microscopy.Thus, we offer our readers to comparing some issues of the virtual world with their own situation and to get informed about the essential procedures of accurate virtual microscopy implementation.
oai:ojs2.localhost:article/135
2018-06-19T09:14:46Z
dpath:EP
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/135
2018-06-19T09:14:46Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Application Of Ki-67 Analysis In A Distributed Computing Infrastructure
Strutz, Marco; University of Applied Sciences, HTW, Berlin, Germany
Lindequist, B.; University of Applied Sciences, HTW, Berlin, Germany
Witt, M.; University of Applied Sciences, HTW, Berlin, Germany
Heßling, H.; University of Applied Sciences, HTW, Berlin, Germany
Hufnagl, P.; Charité - Universitätsmedizin Berlin, Institute of Pathology, Berlin, Germany
Krefting, D.; University of Applied Sciences, HTW, Berlin, Germany
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/135
Introduction/ BackgroundOver the last few years, the protein Ki-67 [1] has been established as one of the most important biomarkers for cell proliferation in breast cancer. High Ki-67 values indicate high tumor growth and have direct impact on the patient’s treatment. Several automated image anal- ysis methods for identifying Ki-67-positive and negative tumor cells have been presented.AimsFor small regions of a virtual slide, the Ki-67 analysis can be realized within an acceptable period of time. However, to analyse an entire whole slide image (WSI [2])most of the current methods are not sufficient yet. On a typical office computer, the processing time of 3,752 tiles, which were extracted from a H–DAB stained WSI, exceeded 24 hours. Therefore, we propose an approach to significantly speed up the process of analysing entire WSIs by using a distributed computing infrastructure.MethodsTo evaluate the approach, an unmodified and validated [3] [4] analysis software for Ki-67 was deployed on a six node setup supporting two different software engines: Hadoop Streaming [5] and Apache Spark [6] . Both tools support the MapReduce methodology whereas Apache Spark offers alternative programing models. In addition, heat maps visualizing the Ki-67 scores for an entire slide were generated which can provide additional informa- tion for clinical research.ResultsFirst results on automated and reproducible tests have been produced. By processing 3,752 tiles the speedup turned out to increase linearly with the number of tiles. The overall processing time was improved by a factor of 10, more precisely from 28 hours on a typical office computer to three hours on a distributed environment. Further optimization strategies besides WSI partitioning will be considered. To achieve additional improvements in processing speed, the underlying algorithm of a Ki-67 analysis can be examined with focus on how to adapt it towards distributed processing workflows.
oai:ojs2.localhost:article/285
2022-04-08T14:54:52Z
dpath:CAS
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/285
2022-04-08T14:54:52Z
Diagnostic Pathology
Vol 7 No 1 (2022): Vol 7 No 1
Diffuse Lipomatosis of Thyroid Gland. Case Report and Review of Literature.
Xhemalaj, Daniela Flamur; university hospital
Xhardo, Elona; Endocrinologist
Gradica, Fadil
Berdica, Leart
2022-04-08 07:35:28
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/285
In normal thyroid glands, adipose tissue is distributed only under the capsule and along vessels.It is not usually present within the thyroid gland. Only a few adipose tissue -containing thyroid lesions have been reported to date.
Lipomatosis of thyroid gland is very rare condition,characterized by infiltration of adipose tissue in the thyroid gland.The pathophysiology of adipose tissue infiltration in the thyroid gland remains unclear.
We report a case of a 69-year-old female who presented in the Emergency Room of our hospital, complaining dysphaghia,dyspnea ,swelling of the neck and weight loss.
Her thyroid panel tests were in the range,ultrasound showed the typical appearance of multinodular goiter.A computed tomography revealed a rightward tracheal deviation and compression narrowing the tracheal lumen more than 50%.
The patient underwent total thyroidectomy. The histopathological examination revealed that adipose tissue was diffusely distributed throughout the thyroid gland.There is no evidence of atypia or mitotic activity.
Capsular infiltration or amyloid deposition were not observed. Nuclear grooves or intranuclear cytoplasmic inclusions were not observed. Accordingly, diffuse lipomatosis of thyroid gland was diagnosed.
oai:ojs2.localhost:article/152
2018-06-19T09:28:24Z
dpath:VM
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http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/152
2018-06-19T09:28:24Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
A Globally Optimum Parallelizable Whole Slide Image Registration Algorithm
Çapar, A.; Informatics Institute / Istanbul Technical University, Istanbul, Turkey
Çöplü, T.; Argenit Ltd., Istanbul, Turkey
Türkmen, I.C.; Istanbul Medipol University, Pathology, Istanbul, Turkey
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/152
Introduction/ BackgroundAdvancements in imaging, communication and computing technologies lead to commercially available digital slide scanners for pathology. These devices help to increase the quality of consultation, diagnosis, research, education and archiving processes as well as contribute to cancer research. At this point, high resolution imaging of the whole pathological specimen is one of the most important parts of the digitalization process. The imaged tiles must be perfectly combined to create the While Slide Image (WSI). In the literature, there are publicly available registration schemes to create the WSI [1] [2]. These methods mainly suffer from the high computational times and high computational resource usage (mainly RAM). To overcome these weaknesses, we have developed a novel, fast, globally optimum WSI registration algorithm.AimsIn this study, we plan to develop a new globally optimum WSI registration scheme for digital pathology. Time consumption, RAM usage, starting tile invariance and compliance to parallel processing are selected as the main design concerns of the registration algorithm.MethodsThe proposed registration scheme has 2 main steps: In the first step, Phase Correlation Method (PCM) given in [3] is utilized to compute the translational offsets between an image and its 4-neighbors. Since PCM requires computing Fourier and inverse Fourier transforms, only overlapping parts of neighbours plus an error region is used to reduce the amount of calculations. Then, all the translational offsets are stored in memory to be used in the global optimization step. In the second step iterations are run to globally optimize the registration according to the neighbouring tile relations. First, the priory knowledge from the motorized table is used to assign global coordinates to the tiles. Then, tiles best position is calculated by maximizing the translational offsets of the neighbors. Here, the tile coordinates are not updated, but the shift values both in X and Y coordinates are saved. After finishing the shift calculation process for all tiles, the shift map is updated, which concludes the first iteration. The iterations continue until zero shift is calculated for all images.ResultsThe performance of the proposed scheme is evaluated using 2 basic scenarios. In the first scenario, 40 different pathology slides are registered using the proposed scheme and then stitched using a bilinear blender. The resulting WSI’s are reviewed by 3 pathologists for stitching errors, and no faulty registration is recognized. In the second scenario, registration time and maximum RAM usage are employed to evaluate the performance of the proposed scheme under different number of tiles. In the evaluations the proposed scheme is compared with Grid Stitching algorithm [1] implemented in ImageJ using the same tile sets and the same PC. The results given in below table show that the proposed scheme has significant RAM and processing time advantages which are very important for real-world applications.Â
oai:ojs2.localhost:article/168
2018-06-19T09:08:24Z
dpath:QAM
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http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/168
2018-06-19T09:08:24Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Comparison Display Resolution On User Impact For Digital Pathology
Marchessoux, Cedric; BARCO, Kortrijk, Belgium
Nave Dufour, A.; BARCO, Kortrijk, Belgium
Espig, K.; BARCO, Beaverton, United States
Monaco, S.; UPMC, Pittsburgh, United States
Palekar, A.; UPMC, Pittsburgh, United States
Pantanowitz, L.; UPMC, Pittsburgh, United States
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/168
Introduction/ BackgroundDigital pathology images are very large, up to 100000x100000 pixels which are 30 to 50 times larger than a radiological image for which 12 Mega Pixels (MP) medical displays can be used. Higher resolution displays may have an important influence on digital pathology ergonomics. Three displays with varying resolutions were studied to determine their impact on user interaction.AimsOur hypothesis was that “with higher resolution displays, pathologists need less interaction such as panning and zooming actions and can focus more on image contentâ€. A psycho-physical study has been carried out for validating this hypothesis at the University of Pittsburgh Medical Center.MethodsThree experienced pathologists were selected. Seventy pathology including a wide variety of histological and cytological diagnoses were digitized (Aperio Scanscope XT scanner) and used in a previous study [Ava15]. Customized and optimized viewing software was used to display images and record pathologist’s interactions such mouse clicks, zooming and panning. Three medical displays with different different resolutions were used: 2MP (BARCO MDSC-2124), 4MP (BARCO MDPC-4130) and 12MP (BARCO MDCC-12133), all with the same maximum luminance. Scripts were used for statistical analyze and 1D, 2D, 3D plotting results. User interactions with each image were used to recreate videos documenting of their exact navigation with each digital slide.ResultsThe results of number of zooming and panning interactions are given in the Table 1, as well as averages. When display resolution was increased, the number of panning and zooming interactions significantly decreases for all three observers. For panning, there was on average 1172 panning actions for the 2MP and 951 actions for the 12MP display. For zooming actions, there was on average 12315 zoom actions for the 2MP and 2847 actions for the 12MP display. Between the 2MP and 12MP displays, the ratio of the number of zooms was 4:1 in favor of the 12MP monitor. On figure 1, the 3D plots of one case for the three monitors show the navigation through the slide and show lesser points for higher resolution display. With higher resolution the pathologist goes more directly to the Region Of Interest (ROI) for making the decision. Figure 2 shows more analysis of the zoom values across the cases for the three monitors. The pathologists have the tendency to remain close to a value of 1 with the 12 MP display where a value of 1 means that no zoom is applied. This is illustrated by the Figure 2 showing for observer 2 the boxplots of the zoom values for the three displays. It clearly shows that with higher resolution display the trend goes to get closer to one for the zoom value meaning no need to zoom in in the image. We used three different displays instead of one unique display with three different resolutions. Though using just one display would have reduced variability of differing LCD panels, pixel size and structure, it would not have been commercially or clinically realistic.Despite the limited number of pathologists, this study shows that display resolution used for digital pathology is important. Higher resolution monitors significantly help reducing the number of user interactions and thereby can minimize pathologist fatigue when reading digital slides.
oai:ojs2.localhost:article/184
2018-06-19T09:09:45Z
dpath:EL
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/184
2018-06-19T09:09:45Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Open Access Publication In Pathology – Advantages, Constraints And New Tools
Carvalho, Rita; Central Lisbon Hospital Center, Department of Pathology, Lisbon, Portugal
Borkenfeld, Stephan; International Academy of Telepathology, Heidelberg, Germany
Kayser, Klaus; Charite, Berlin, Germany
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/184
Introduction/ BackgroundOpen access journals are financed by authors (i.e. re- search grants), rather than by readers or subscribers. This business model allows a world – wide uncontrolled distribution of medical information and scientific knowledge. The financial of shifting the finance and the opportunities for misuse raise significant concerns regarding non – scientific impact and article content integrity.AimsHerein we report and discuss ideas and experiences of open access publication focusing on diagnostic pathology.MethodsOur experiences are drawn from the open access online journal diagnosticpathology.eu. The journal offers the opportunity to publish case reports “beside the microscope†and to submit data for “interactive publicationâ€. Both tools are unique, and cannot be found elsewhere. For publication of suitable articles, we demand the submission of glass slides, which will become completely digitized (virtual slides, VS).ResultsThe journal is online since ten months, and the only completely independent open access journal in medicine. We have published several case reports under the headline “How do I diagnose…?†The presented form offers a guide through the article and permits a complete publication “besides the microscopeâ€, commonly in less than one hour. Automated links to reference search items are included as well as virtual slides. The strict publication format permits fast submission of unique or interesting cases, and, in addition, the implementation of the publication into a case – related open and flexible image date bank. ConclusionsThe mandatory inclusion of virtual slides is a unique quality control. The journal diagnosticpathology. eu is embedded in a cloud that will consist of an archive of published cases with virtual slides, an express review forum with a corresponding duty plan, an automated measurement system of histological slides, and open access atlases such as hazards of natural and artificial fibers (fine granulate) and a collection of all known pulmonary diseases.AcknowledgementThe financial support of the Verein zur Förderung des biologisch - technologischen Fortschritts in der Medizn e. V. is gratefully acknowledged.Â
oai:ojs2.localhost:article/200
2018-06-19T09:07:53Z
dpath:TP
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/200
2018-06-19T09:07:53Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
An Innovative Telepathology Solution For Developing Countries
Botteghi, M.; Università Politecnica delle Marche, Department of Clinical and Molecular Sciences, Ancona, Italy
Masalu, N.; Bugando Medical Centre, Oncology department, Mwanza, Tanzania, United Republic of,
Stracca, V.; Associazione Patologi oltre Frontiera NGO, Milano, Italy,
Amadori, D.; Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori IRST, Meldola, Italy
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/200
Introduction/ BackgroundThe increasing incidence of pathologies like tumors and infections is a significant public health burden in developing countries. The ability to provide early diagnosis, treatments, follow-up care has a strong impact on the survival. Telemedicine is of great utility in countries lacking appropriate healthcare facilities by allowing for the performance of good level healthcare practices. Sub-Saharan African Countries suffer a dramatic shortage of medical pathologists (in the range of 1 to 10 pathologists per 10 million people) and are also victims of digital divide. Vittorio Tison Association (Tison), IRST research cancer hospital and Patologi Oltre Frontiera NGO (APOF) cooperate in the sanitary mission founded in 1999 in Bugando Medical Centre (BMC), a hospital located in Mwanza, Tanzania. In that mission, during 2011 we started the development of our telemedicine project. The project utilizes a novel telematic platform oriented to several sanitary branches with a special focus in pathology and oncology. AimsThe main project goals are:to provide ICT and TLC services between healthcare facilities in developed and developing countries;to allow for simultaneous telepathology counselling sharing microscopy and radiology images, conference calling, remote diagnosis, double-blind evaluation, second opinion and the remote control of medical instrumentation;to perform e-learning and remote quality control;to carry out GCP clinical trials through data collection, monitoring and evaluation;to encourage and support scientific research;to reduce the knowledge gaps inherent to the digital divide. MethodsAPOF has been developing the BMC pathology lab from 2000 to 2008. In the meantime Tison took care of training in Oncology of local medical doctors, opened the BMC Oncology Department in 2010 and patronized the building of a new clinic dedicated to the Oncologic Institute. We started the development of the project in 2011 with a general assessment of the needs and lacks in local working procedures, related to the possible improvements in ICT. Our first step involved the Internet connections activation and the implementation of the project informatic core in the IT room of the BMC Oncologic Institute. The telematic link between IRST’s Italian site and BMC has been realized during the early pilot phase. We carried out several experimental sessions to investigate the compatibility of the main third-parts digital pathology products with our platform, choosing digital microscope Menarini D-SIGHT in association with D-SIGHT+ telepathology web-based application. Finally, on June 2015 we launched the BMC Telepathology Facility performing a complete demo of the system during the AORTIC East African Regional Meeting. ResultsWe validated the system in a wide range of conditions. Experimental data indicate an improvement of a factor up to 100 in the overall images transmission rate in comparison to the previous models. The pathology images remotely viewed are fully compliant with the diagnostic requirements in terms of definition and magnification. The platform is easy-to-use, all sanitary operators involved in the testing found it friendly and effective. The images browsing on the screen is very fast and precise, professional operators evaluated this solution equivalent to the use of the microscope. Our project is characterized by a high level of innovation which increases efficiency and efficacy of health practices and can boost the use of telepathology in developing countries.
oai:ojs2.localhost:article/55
2018-06-19T09:06:22Z
dpath:DIA
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/55
2018-06-19T09:06:22Z
Diagnostic Pathology
2015
Extralobular Sequestration
Kayser, Klaus
Borkenfeld, Stephan
Kayser, Gian
2015-07-09 00:00:00
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/55
Extralobular Sequestration, Pulmonary Hpertension, Tumorlet, Lingula, Lung, Resection, Atypical Adenomatiod Hyperplasia
en
Lung sequestration is a radiological/clinical diagnosis displaying with a mass of lung parenchyma that is not connected to the
tracheobronchial tree. Intralobular sequestration defines lung parenchyma that is covered by visceral pleura; extralobular
sequestration defines lung parenchyma that lies outside the visceral pleura.
We report the histological findings of a 71 years old women suffering from chronic cough, recurrent bronchopneumonias, and
several radiological densities in the left lower lobe (lingula). A resection of the lingula was performed.
The histological findings include focal active fibrosis and marked media hyperplasia and dislocalization of pulmonary arteries as
well as a tumorlet of carcinoid type and focal adenomatous hyperplasia (AAH).
Differential diagnosis: Pulmonary Hypertension, Venous occlusive disease, Congenital malformation
oai:ojs2.localhost:article/221
2018-06-19T08:59:53Z
dpath:TP
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/221
2018-06-19T08:59:53Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Comparison of Digital and Conventional Measurements of the Morphometric Prognostic Parameters in Cutaneous Melanoma
Moldovan, V. T.; ’Victor Babes’ National Institute of Pathology, Pathology, Bucuresti, Romania
Ali, L.; ’Victor Babes’ National Institute of Pathology, Pathology, Bucuresti, Romania
Costache, M.; Bucharest Emergency University Hospital, Surgical Pathhology, Bucuresti, Romania
Sajin, M.; Bucharest Emergency University Hospital, Surgical Pathhology, Bucuresti, Romania
Lazaroiu, A.; Bucharest Emergency University Hospital, Surgical Pathhology, Bucuresti, Romania
2016-10-03 22:07:54
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/221
en
Introduction/ Background
Measurements for Breslow and TNM staging on proliferations naevi and melanomas are required both by surgeons and patients, with direct interest in terms of prognosis and therapy. The advantages of digital
measurements are: less time consuming, the ability to measure longer distances easy, as the possibility to
extract meaningful images for clinicians, as they raise the question on the accuracy of the data supplied compared with those obtained in traditional transmission microscopy.
Aims
Cross comparison between conventional optical micrometer measurements versus whole scanned
histological sections on paraffin tissue with malignant melanoma or naevi.
Methods
Digital measurements were performed on a series of cases of melanoma and nevi (n = 15) quantifying peripheral margins, deep margin, maximum tumor thickness, including the degree of invasion. Measurements were performed on standard HE staining sections, using Leica equipment (Aperioscan 2) and AperioImageScope 12.2 as software. Data were compared pursuing the gap between the two types of measures and the impact on TNM staging.
Results
The median numerical differences between the two measurements was low (between 0.003 and 0.023mm), the maximum registered was for depth of invasion. The variability was interpreted as human factor and training variability in taking measurements (most fluctuating - maximum invasion point). They have no significant impact in TNM staging scale Breslow and digital measurements allow quantification of border areas, but with uncertain impact if we consider the tissue processing techniques induced changes. Digital measurements are advantageous because of its simplicity and speed, as well as calibration and standardization opportunities to reduce reading errors.
oai:ojs2.localhost:article/98
2018-06-19T09:01:44Z
dpath:EDI
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/98
2018-06-19T09:01:44Z
Diagnostic Pathology
Vol 2 No 1 (2016): 2016
Diagnosticpathology.eu – 2015 – Experiences – 2016 – Perspectives
Kayser, Klaus; Charite - Berlin
2015-12-30 00:00:00
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/98
diagnosticpathology.eu, open source journal, communication network, virtual slide, automated measurement, environmental hazard
en
The peer reviewed open access journal diagnosticpathology.eu was implemented in March, 2015. It is a tailored, open source and financially completely independent scientific medical journal, and part of a medical communication network. The communication network includes different servers such as the Virtual International Pathology Institute (VIPI, diagnomx.eu/vipi), an automated image measuring system (EAMUS), an anatomy training course, a collection of sixty rare and common lung diseases, and a mice anatomy atlas. A collection of all hazard oriented diseases and and additional of more than 120 rare cases including virtual slides and the original publications are in preparation.The journal offers the opportunity to publish “besides the microscope†and to submit data for “interactive publicationâ€. Both tools are unique, and cannot be found elsewhere. The preparation of virtual slides (submission of glass slides) is mandatory for publication of suitable articles.The journal’s name diagnostic pathology seems to be attractive for some publishing companies that try to copy some issues of the real journal on diagnostic pathology.
oai:ojs2.localhost:article/231
2018-06-19T08:55:24Z
dpath:RES
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/231
2018-06-19T08:55:24Z
Diagnostic Pathology
Vol 2 No 1 (2016): 2016
The Technicians´ Role in Digital Pathology Implementation. Searching Optimization.
Alcaraz Mateos, Eduardo; Pathology Department, Morales Meseguer University Hospital, Murcia, Spain.
Tortosa-MartÃnez, Inmaculada; Pathology Department, Morales Meseguer University Hospital, Murcia, Spain.
Alcolea-Guardiola, Carlos; Pathology Department, Morales Meseguer University Hospital, Murcia, Spain.
Estévez-Ligero, Susana; Pathology Department, Morales Meseguer University Hospital, Murcia, Spain
Abellán-Palazón, Ãngeles; Pathology Department, Morales Meseguer University Hospital, Murcia, Spain
Kundisova, Alexandra; Faculty of Medicine, University of Bratislava, Slovakia
Nieto-Olivares, Andrés; Pathology Department, Morales Meseguer University Hospital, Murcia, Spain
Chaves-Benito, Asunción; Pathology Department, Morales Meseguer University Hospital, Murcia, Spain
Poblet, Enrique; Pathology Department, Reina SofÃa University Hospital, Murcia, Spain.
2016-11-07 22:42:08
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/231
Digital Pathology; Histotechnician; Pathology Assistant; Resource Optimization.
en
BackgroundScanning histological or cytological preparations is a crucial element in the process of digitization of Pathology Departments, along with the traceability of tissue samples and the reports management. The scanning time and the high size of the files are still considered suboptimal for full implementation. In order to optimize time and space a comparative study of the workflow performed by histotechnicians in our center has been carried out.Material & MethodsA total of 25 endoscopic samples were selected with the intention of comparing different parameters (scanning time, error rate during scanning and hard disk storage) between the original histological glass slides (group A: 2 slides per case, 50 preparations) and new sections, with levels grouped into a single slide (group B: 1 slide per case, 25 preparations). They were scanned at 20x magnification in routine way using the Ventana iScan Coreo scanner (Roche diagnostics). The process was repeated 4 times to calculate averages.ResultsThe average scanning time was 5 hours 40 minutes (6m 48s / slide) in group A and 5 hours 10 minutes (12m 24s / slide) in group B. The error rate was 6.1% in group A and 3,8% in group B. The space occupied on the hard disk was 11.87 GB in group A and 9.6 GB in group B (475 MB/case vs 385 MB/case, respectively). The average number of tissue sections per case was 7 in group A and 8 in group B.ConclusionThere is a clear benefit of standardizing and optimizing the number of cuts per slide in terms of storage (saving 19%), biopsy sampling (14% more tissue) and error rate (37% less), including a not negligible decrease in the scanning time (9%) in the study conducted.
oai:ojs2.localhost:article/113
2018-06-19T09:03:24Z
dpath:PRC
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/113
2018-06-19T09:03:24Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
13. European Congress on Digital Pathology
Berlin, May 25-28, 2016
Hufnagl, Peter
Garcia Rojo, Marcial; Hospital de Jerez, Pathology Department, Jerez de la Frontera, Spain
Klauschen, Frederick; Charité - Universitätsmedizin Berlin, Institute of Pathology, Berlin, Germany
2016-06-16 11:09:04
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/113
en
List of Presentations
oai:ojs2.localhost:article/258
2019-08-22T15:02:31Z
dpath:RES
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/258
2019-08-22T15:02:31Z
Diagnostic Pathology
Vol 4 No 1 (2018): 2018
Protective Effect of Anar-5 Herbal Treatment on Experimental Chronic Atrophic Gastritis in Wistar Rats
Dungubat, Erdenetsogt; National University of Medical Sciences (MNUMS)
Dashzeveg, Uranzaya; Institute of Traditional Medicine and Technology of Mongolia
Buyantogtokh, Dejidmaa; Institute of Traditional Medicine and Technology of Mongolia
Chimedtseren, Chimedragchaa; Institute of Traditional Medicine and Technology of Mongolia
Enkhba, Bayarmaa
Purevjav, Batkhuyag; Mongolian National University of Medical Science
2018-01-23 14:13:28
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/258
Background: Chronic gastritis is a slowly progressive disease. It includes atrophy of gastric mucosa, impairment of epithelial regeneration, formation of lymphoid tissue/germinal center, loss of gastric secretion and movement. The Mongolian traditional medicine used Anar-5 recipes for the treatment of stomachache, emesis, and improvement of gastricdigestion. Based on these observations, we implemented a rat model of Anar-5 treatment in artificial chronic gastritis in order to elucidate its potential protective mechanisms scientifically.Methods and material: We established an experimental rat model of chronic gastritis by use of ammonia water. We divided the rat cohorts in an Anar-5–treated test group, an untreated cohort, and a control group. The untreated group was fed with 0.1% ammonia water and the treated group with both 0.1% ammonia water and administered Anar-5 100 mg/kg/day for 6 weeks. Gastric lesions were evaluated microscopically. The Prostaglandin E2 levels, cyclooxygenase COX-2 expression and the cellular proliferation marker Ki67 were in addition assessed.Results: The Anar-5 cohort displayed with an increased thickness of the antrum mucosa, number (р˂0.05) and regeneration zones of gastric mucous epithelial cells when compared to the results of the untreated cohort (693.1±63.8 μm versus 429.6±43.5 μm). The untreated cohort displayed with decreased PGE2 levels (14.8±0.62 ng/dl) when compared to those of the control group and Anar-5 cohort (19.5±1.22 ng/dl and 8.7+0.32 g/dl protein, respectively). The Ki67-associated proliferation rate of the antrum mucosa was enhanced and measured 19.75% in the untreated cohort in comparison to a proliferation rate of 6.58% in the Anar-5 cohort.Conclusion: The data of our rat experiment indicate that a contemporary application of Anar-5 herbs acts as a gastric mucosal protective agent. In addition it induces an overexpression of COX-2 and maintenance of the PGE2 lev
oai:ojs2.localhost:article/130
2018-06-19T09:14:47Z
dpath:EP
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/130
2018-06-19T09:14:47Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
The Reproducibility Index of Pathological Diagnosis and Rare Cases. The Results of the On-line Diagnostic Competition “Final Diagnosisâ€
Kudaybergenova, Asel; Petrov Research Institute of Oncology, pathology, Saint Petersburg, Russian Federation
Artemyeva, A.; Petrov Research Institute of Oncology, Saint Petersburg, Russian Federation
Remez, A.; UNIM, MOSCOW, Russian Federation
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/130
Introduction/ BackgroundUNIM Ltd. have created the SAAS platform DPathology that can be used for saving and studying histological slides and it doesn’t require an installation of a special software. You can use the platform with all the modern internet browsers. The SAAS platform gives all the specialists a chance to analyze remotely digital histological slides. It increases the accuracy of diagnostics and speeds up the medical assessmentAimsTo indicate the importance of collecting rare cases and expert assessment via digital microscopyUsing the Digital Pathology© platform to carry out educational and competitive diagnostic measures.MethodsFourteen rare cases from different sub-specializations field in pathology were selected by UNIM LTD with expert’s pathologists from the Czech Republic and Italy and additionally validated in Norwayand theUK (blind method). The slides were digitized and introduced withclinical information to 250 specialists registered to take part in the competition “Final diagnosisâ€Â©.ResultsThe range of the totally correct answers varies between 3 and 56 percent. The most difficult case for the participants was the one with no tumorous pathology: ectopic hamartomatous thymoma [1]. There were 3 percent of full match. The biggest number of full match to experts’ diagnoses can be seen in the case: Grade 2 central chondrosarcoma with 72% of agreement. To analyze the disagreements we divided them in two groups:Mayor disagreement – potentially not correct histological diagnosis will change the clinical tactics of patient’s treatment (considering the malignant pathology as a benign pathology, considering the benign pathology as a malignant, changing the stage of disease). Potentially wrong pathological diagnosis leads to wrong courseof patient’s treatment and wrong chemotherapy, etc. Minor disagreement – potentially incorrect diagnosis doesn’t have any clinical matter. This tactic showed that the case of hyalinized endometrioid adenocarcinoma [ [2] turned out to be the most difficult one for the participants. The range of mayor disagreement here was 66 percent, mostly because cases was interpret as carcinosarcoma (63/93), while the agreement is 14 percent. And myxoinflammatory fibroblastic sarcoma of soft tissues [ 3], with major disagreement in 67.4% (pict case 10).All the data is shown in table 1.  Agreement %Minor disagreement %Major disagreement %case1, N=97Teratocarcinosarcoma of the nasal cavity [4]0,120,610,26case 2, N=89Juxtaoral organ of Chievitz [5]0,130,500,37case3, N=93Mammary Analogue Secretory Carcinoma of Salivary Glands, Containing the ETV6-NTRK3 Fusion Gene [6]0,3650,480,15case 4, N=96Low-grade sebaceous carcinoma of the skin [7]0,100,680,23case 5, N=99t(6;11) translocation carcinoma (Ro- sette-forming tumor of the kidney) [8]0,310,350,32case 6, N=93Hyalinized endometrioid adenocarcinoma [9]0,140,200,67case 7, N=96Ectopic hamartomatous thymoma0,030,820,15case 8, N=91Prolapse of the fallopian tube after hyster- ectomy0,160,670,14case 9, N=87Phosphaturic mesenchymal tumor of soft tissues with calcification0,230,340,33case 10, N=92Myxoinflammatory fibroblastic sarcoma of soft tissues [3]0,130,200,67case 11, N=87Enchondroma0,350,150,49case12, N=88Atypical chondromatous tumor/ Grade 1 chondrosarcoma0,200,420,375case 13, N=87Grade 2 central chondrosarcoma0,720,070,21
oai:ojs2.localhost:article/278
2020-12-10T19:39:13Z
dpath:LET
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/278
2020-12-10T19:39:13Z
Diagnostic Pathology
Vol 6 No 1 (2020): Vol 6 No 1
Obituary of Professor Dr. med. Heinz David (*)
Guski, Hans; Institute of Pathology, Charité Berlin
Kayser, Klaus; Charite - Berlin
2020-12-10 14:39:07
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/278
This obituary of Professor Dr. med. Heinz David describes his work at the Institute of Pathology, Charité, Berlin, Germany, and his former and later life.
His former life is characterized by the doom of young children whose family had to escape the Red Army for more than one thousand kilometers at the age of a teenager. They had to wander in a completely destroyed Germany until they found a home and settled down in the small town Neuruppin of the former German Democratic Republic (GDR).
The scientific details of his career and as well as his fall from the mighty position in the GDR pathology society and his later life are described by a staff member and his interim follower (H. Guski) and by a ‘Western’ colleague and friend (K. Kayser) from both points of view, that of inside and that of outside the former communistic society.
Therefore, this article is more than just an obituary. It demonstrates the impact of working conditions such as of equipment, social environment and communication on science, and specifically on surgical pathology.
oai:ojs2.localhost:article/147
2018-06-19T09:27:28Z
dpath:DIM
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/147
2018-06-19T09:27:28Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Data Architecture For A Clincal Data Repository - Evaluation And Design At Charité Universitätsmedizin Berlin
Mallach, Michael; Charité Universitätsmedizin Berlin, IT Department, Berlin, Germany
Peuker, M.; Charité Universitätsmedizin Berlin, IT Department, Berlin, Germany
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/147
Introduction/ BackgroundThe translation of scientific results into new and more effective diagnostic and therapeutic procedures is a milestone in the advancement of medicine. German clinics collect large amounts of data on every patient, which is used to: evaluate treatment; justify expense reports; operate quality assurance and to keep aftercare Physicians/caregiver informed. However, so far there are only fragmentary approaches to using this data resource. The combination of phenotype information from clinical routines with information about samples held in the biobank systems and linked with genetic information must be achievable. Therefore a data architecture must be designed which allows an access of all relevant patient data stored in different source systems under the aspects of data security, data protection, data integrity and semantic interoperability. The following paper focused on the integration of patient clinical data and patient sample data stored in the biobank system. The central role plays the design and implementation of a Clinical Data Repository (CDR) at the Charité.AimsDefinition of the essential requirements of a Clinical Data Repository regarding data security, data protection, data integrity and semantic interoperability. Definition of standardized data flow from clinical patient system into the clinical data repository. Definition of the data model of the clinical data repository.MethodsIn order to design the central Clinical Data repository an investigation of existing clinical and research system landscape at the Charité took place. The existing solutions were evaluated regarding usage, level of penetration, standards in interoperability and supported interfaces. The analysis of Clinical Data Repository requirements was based on the methodology of Requirements-Engineering. This methodology is very often used for development of complex IT systems in order to gain a common understanding on user side and developer side too. In 2013 and 2014 Charité supported a project to identify the main system demands on a clinical scientist workplace. The essential demands incorporated the Clinical Data Repository requirement analysis. From the technically point of view the Clinical Data Repository has to deal with a large amount of data in terms of storage, scalability, stability, fast accessibility and search and the support of data analytics. The introduction of In-Memory technology has enabled a paradigm shift in analytic applications, with many new possibilities. It is now possible to have all working data in the main memory, which means that internal database programming can be implemented to execute computer and data intensive algorithms without having to access data over slow interfaces. The Clinical Data Repository will be based on latest In-Memory technologies to allow researchers and physicians real time access to huge amounts of data.ResultsIn the first phase the design of data architecture and a core set of clinical date is defined. A pilot implementation of a Clinical Data Repository will provide a research space where clinical data and research data is accessible for researchers and physicians. To correspond with data protection laws this data will be anonymized, pseudonymized and stored securely. The central biobank system is connected via an identify management system with the Clinical Data Repository. The CDR allows requests to identify groups of patient with include or exclude criteria from clinical workplace as well from biobank system.
oai:ojs2.localhost:article/163
2018-06-19T09:08:24Z
dpath:DA
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/163
2018-06-19T09:08:24Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Digital Pathology In Italy: Preliminary Results From A National Survey
Massi, D.; University of Firenze, Firenze, Italy
Mencarelli, R.; SIAPEC, Rovigo, Italy
Della Mea, Vincenzo; University of Udine, Udine, Italy
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/163
Introduction/ BackgroundDigital pathology has been around since many years now, but it is still not fully integrated in work routine. The Italian Society of Pathology and CytoDiagnostics  (SIAPEC)  contributed  to  its  development at national level, and is willing to stimulate better collaboration and sharing for the aims of continuing education and training. For this, a common infrastructure for hosting digital slides could be useful. For this, SIAPEC, in collaboration with theUniversityofUdine, decided to investigate the current status of digital pathology inItaly, to foresee possible development paths.AimsThe aim of the present work is to present preliminary results on digital pathology diffusion in the Italian pathology institutes, and to understand if there is interest and need for a common infrastructure for continuing education and training in pathology through digital slides. MethodsA survey has been developed in two formats (online through Google Forms and as Word file) to ask 24 questions to Pathology laboratory Chairs. Recipients were contacted through email and addressed to both versions. The survey included questions on the availability of slide scanners, on the organization of slide/image archives (if any), on the aims of the archives, on the technical availability of slides and on their anonymization, and finally on the foreseen advantages of digital pathology. The survey started in January 2016. ResultsOf the 241 recipients (i.e., Pathology Institutes inItaly), 48 (20%) answered the survey at the time of submission. 14 Institutes (39%) declared to own at least one scan ner. However, all the others have traditional tools for image acquisition: cameras on the microscope, macroscopic cameras, digital microscopes, fluorescence microscopes with acquisition tools, confocal/ deconvolution microscopes. 17 Institutes manage organized slide or image archives, however in all but 2 cases they are not integrated with the LIS. Who has an archive, typically stores 11-50 slides or images per month, with a total number of cases being between 500 and 1000.The most frequent aims of the archive are Education (7), Teleconsultation (6), Image analysis (6). Answers to technical questions (image formats, Z-axis scanning) were less frequent than others: details are not always known to pathologists. About half of the Institutes anonymize the slides by covering the tag, the others not. When asked about the possible advantages of digital pathology, Italian pathologists seems to be conservative. In fact, the most chosen application is second opinion (44), followed by online case development for scientific aims (29), and education (27). Diagnostic routine is chosen only 14 times, while the possibility of integration with other clinical data and images is chosen by 15 only. However, in general digital pathology seems not yet applied in diagnostic routine, but rather relegated to ancillary roles. This fact is also supported by the low number of high throughput scanners owned by Institutes: only 3 declared having large slide feeders (>100 slides). At the time of the congress updated results will be provided.
oai:ojs2.localhost:article/179
2018-06-19T09:09:45Z
dpath:CWI
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/179
2018-06-19T09:09:45Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Integration Of Externalized Decision Models In The Definition Of Workflows For Digital Pathology
van Leeuwen, J.; Philips Research Europe, Eindhoven, Netherlands
Ibrahim, A.; Philips Research Europe, Eindhoven, Netherlands
Bucur, Anca; Philips Research Europe, Eindhoven, Netherlands
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/179
Introduction/ BackgroundThe availability of digital pathology creates opportunities for the adoption of advanced workflow solutions focused on facilitating and improving the current way of working in pathology labs. Workflow-driven applications can help achieve increased efficiency and quality, support collaboration, and provide detailed insights into the lab processes. The implementation of workflow solutions also creates effective means to monitor and measure activities, and to detect and solve issues. Our solution helps improve processes in the pathology lab (both with respect to efficiency and quality) by modeling and optimizing the existing workflows and by incorporating decision models for automatic execution of relevant tasks and path selection in these workflows. Examples of decision models relate to the implementation and automatic execution of protocols, detection of quality issues, and automatic evaluation of tests with image analysis to evaluate the need for pre-ordering additional tests.AimsThis work focuses on the modeling and optimization of relevant pathology workflows to enable clinical users to efficiently and effectively leverage the deployed digital pathology solutions for faster diagnosis and better patient outcomes. Next to identifying and addressing bottlenecks in the workflow, we aim to improve performance by enriching the workflows with clinical decision support.MethodsWe build a workflow-driven application enabling us to support and propose optimizations for pathology processes, while leveraging the availability of a digital pathology system. We select relevant workflows and identify opportunities for automating tasks and incorporating decision support. The selected pathology processes are represented according to the BPMN standard [BP]. We used the jBPM [jb] workflow suite (compliant with BPMN 2.0) for the modeling and execution of the processes. Programmatic tasks in the workflows are linked to external services executing the logic required by the tasks.ResultsWe proposed a workflow solution enabling the representation of decision models as externalized executable tasks in the process definition. Our approach separates the task implementations from the workflow model, ensuring scalability and allowing for the inclusion of complex decision logic in the workflow execution. In we depict a simplified model of a pathology diagnosis workflow (starting with the digitization of the slides), represented according to the BPMN modeling conventions. The example shows a workflow sequence that automatically orders a HER2 FISH when IHC is borderline according to defined customizable thresholds. The process model integrates an image analysis algorithm that scores images. Based on the score and the thresholds the decision model evaluates the condition and recommends the pre-ordering of an additional test when the score falls between the two thresholds. This leads to faster diagnosis and allows balancing the costs of an additional test versus the overhead of the pathologist by choosing the values of the thresholds.Â
oai:ojs2.localhost:article/195
2018-06-19T09:06:43Z
dpath:EP
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/195
2018-06-19T09:06:43Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Detection Of Automatic Digital Image Analysis Problems For The Evaluation Of Immune Markers In Breast Cancer Biopsies
Lejeune, M.; Hospital de Tortosa Verge de la Cinta, Molecular Biology and Research, Tortosa, Spain
Oreo Pastor, G.C.; Hospital de Tortosa Verge de la Cinta, Molecular Biology and Research, Tortosa, Spain
López, C.; Hospital de Tortosa Verge de la Cinta, Molecular Biology and Research, Tortosa, Spain
Bosch, R.; Hospital de Tortosa Verge de la Cinta, Pathology Department, Tortosa, Spain
Salvadó, T.; Hospital de Tortosa Verge de la Cinta, Pathology Department, Tortosa, Spain
Ãlvaro, T.; Hospital de Tortosa Verge de la Cinta, Pathology Department, Tortosa, Spain
GarcÃa-Rojo, M.; Hospital de Jerez, Pathology Department, Jerez de la Frontera, Spain
Bueno, G.; VISILAB, Engineering School, Ciudad Real, Spain
Korzynska, A.; Nalecz Institute of Biocybernetics and Biomedical Engineering, Laboratory of Processing Systems of Microscopic Image Information, Warsaw, Poland
Roszkowiak, L.; Nalecz Institute of Biocybernetics and Biomedical Engineering, Laboratory of Processing Systems of Microscopic Image Information, Warsaw, Poland
Callau, C.; Hospital de Tortosa Verge de la Cinta, Molecular Biology and Research, Tortosa, Spain
Navas, N.; Hospital de Tortosa Verge de la Cinta, Pathology Department, Tortosa, Spain
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/195
Introduction/ BackgroundAutomatic digital image analysis has increased in recent years. There are several applications for image analysis in pathology, among them, immunohistochemistry biomarkers quantification. This is a simple, economic and fast method to quantify stained biomarkers in digitalized biopsies enhancing sensitivity and objectivity. However, automatic procedures do not always work satisfactorily in all digitalized samples.AimsTo quantify the number of incorrectly analyzed images as a result of errors on the automatic procedure developed for quantifying immune markers in breast cancer biopsies, to evaluate the amount of time spent in this reanalysis and to define which kind of biopsy produces more errors.Methods10,770 cores of breast tumor (intra-tumoral and peri-tumoral areas) and negative and positive axillary lymph nodes areas from ductal invasive breast cancer were included in different tissue microarrays (TMAs). Slides of each TMA were immunohistochemically stained for CD4, CD8, CD57, CD68, S100, LAMP3, CD83, CD1A, CD123 and CD21 immune markers and were digitalized at 40X with the Apperio Scanscope XT scanner. Each core was extracted as an individual digital image in TIFF format. The stained area was automatically quantified using procedures developed with Fiji (Image J) software in a HP Intel Inside Core i.7 computer with 16GB of RAM memory. Firstly, the whole area of each core was evaluated in pixels by using the luminance channel, applying the median filter and gray-scale segmentation. The second step evaluated the positive pixel number stained in brown for obtaining a brown color channel and then, a gray scale and size segmentation for positive objects, including holes inside the segmented area. Finally, this selected brown area was automatically surrounded by an overlay.Results2,751 had to be reanalyzed (25.5%). Specifically, intra-tumoral and peri-tumoral cores were those with higher reanalysis levels (35.6% and 34.9%, respectively) while axillary lymph nodes cores present lower levels (Negative Nodes 13.5% and Positive Nodes 16.4%). Regarding the immune biomarker, CD21, LAMP3 and CD123 were those with higher reanalysis levels (38.4%, 35.2% and 34.2%, respectively) in contrast with CD8, CD68 and CD83 that were those with lower levels (16.4%, 17.7%, 18.4%, respectively). The reanalysis levels of the remaining biomarkers were 22% in CD4, 23.9% in S100, 26.% in CD1A and 27.4% in CD57. Each core took a mean of 1.56 minutes to be analyzed so the total time spent in the reanalysis of the images was 71.5 hours. The principal reasons for reanalysis were problems in the TMAs assembly accuracy and presence of adipose tissue, hemosiderin, artifacts, unspecific staining and background noise. Several TMAs presented glue bubbles and different types of dirt, as hairs or dust that were quantified as positive area. Intratumoral and peritumoral cores are those with higher levels of adipose tissue. These adipocytes cause alterations in the automatic quantification due to their different cellular structure. Specifically, in cores stained for S100 marker in which membranes of adipocytes were also stained in brown and, thus, quantified as immune marker. Conclusions: It could be possible to reduce the time of analysis and to obtain more exact values of immune quantification in digital images improving the accuracy of TMAs assembly, overcoming unspecific staining and background and adapting the parameters of the procedures.Â
oai:ojs2.localhost:article/8
2018-06-19T09:07:29Z
dpath:CAS
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/8
2018-06-19T09:07:29Z
Diagnostic Pathology
2015
Mucous gland adenoma of a segment bronchus - Case report
Mijovic, Zaklina Zarko; Medical Faculty, University of Nis
Mihailovic, Dragan; Medical Faculty, University of Nis
Zivkovic, Nikola; Medical Faculty, University of Nis
Stankovic, Milos; Medical Faculty, University of Nis
Kostov, Milos; Medical Faculty, University of Nis
2015-04-07 20:44:06
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/8
Bronchus adenoma; endoscopy; immunohistochemistry; video-assisted thoracic surgery; prognosis
en
BackgroundMucous gland adenoma of the bronchus is a rare benign epithelial tumor. The majority arises from the submucosal seromucous glands and ducts of the proximal airways. In bronchus biopsy specimen it might be difficult to distinguish mucous gland adenomas from low-grade malignant tumors, such as carcinoids, mucoepidermoid carcinomas, or adenoid cystic carcinomas. Complete tumor resection serves for both definite diagnosis and potential curative treatment.CaseA non smoking man of 78 years suffered from cough, dyspnea and recently from hemoptysis. Fiberoptic bronchoscopy revealed a polypoid, well-circumscribed mass in the right posterior segmental bronchus. A bronchoscopic tumor excision was performed.Histology and immunohistochemistry (IHC)The tumor displayed with exuberant dilated cystic glands lined by columnar, cuboidal or flattened mucus secreting cells. IHC was positive for EMA, CKAE1/AE3, and negative for TTF1.ConclusionUncommon benign bronchus adenomas should be taken into account in addition to the common malignant lung carcinomas with endobronchial growth pattern. Endoscopic tumor excision of bronchus adenomas is indicated for potential curative treatment, especially in patients of higher age.
oai:ojs2.localhost:article/216
2018-06-19T08:59:26Z
dpath:EP
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http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/216
2018-06-19T08:59:26Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Morphological Features of Pregnancy of Uterine Leiomyomas
Gorianikova, I.; 1Kharkiv National Medical University, Kharkiv, Ukraine
Reshetnikova, O.; GI ‘Lugansk State Medical University’, Lugansk, Ukraine
Burgelo, E.; GI ‘Lugansk State Medical University’, Lugansk, Ukraine
2016-10-03 21:29:54
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/216
en
Introduction/ Background
According to numerous publications of diseases among women of reproductive age, uterine leiomyoma are in the second place in the structure of gynecological pathology. Uterine leiomyoma - a benign, well-encapsulated tumor limitation, the source of which are the smooth muscle cells of the body of the uterus or cervix. According to different authors, in 0,4-3,9% of cases, the presence of tumor is diagnosed during pregnancy. Presence of myomas nodes leads to the threat of termination of pregnancy, missed abortion, the threat of fetal hypoxia, early and late gestosis, bleeding during pregnancy and childbirth . Moreover, the nature of complications depends on the size and morphological features of tumor’s myoma nodes.
Aims
To study the morphological features of leiomyomas during pregnancy given the size of tumors and secondary changes in it.
Methods
Morphological examination of myomas was conducted in 25 cases of pregnancies completed caesarean section in 36-39 weeks of gestation with subsequent enucleation nodes. All myomas were divided into 2 groups: a core group of 10 nodes (more than 5 cm) and a control group of 15 nodes (less than 5 cm). On gross examination of tumors taken into consideration the number, size, texture, color, structure and the presence of degenerative changes. In each case of leyomioma nodes excised tissue portions from the central zone and the edge of the paracentral. The fragments of tissue were fixed in neutral formalin, followed by pouring into paraffin. With each produced histological preparations stained hematoxylin and eosin, and van Gieson’s stain. Microscopic investigations were conducted on increasing × 100 × 400 with a microscope Primo Star (Carl Zeiss, Germany).
Results
At external examination of uterine control group were tightly-elastic and dense consistency. In the main group was uneven consistency of nodes, with the presence of foci of softening. In the main group tumor size reached 5.0 cm to 17.0 cm in diameter, these nodes along with portions of white or grayish white color observed small or large grayish yellow necrotic foci, and cystic formation was observed, and red degeneration, calcification. In the control group the size of myomas nodes were ranging from 0.5 cm to 4.5 cm in diameter, usually have multiple nodes localization. Grossly it had tumors pale pink, fibrous structure. Histological examination of the control group has some parts of the tumor that are rich in blood vessels and the cells that were in a state of hypertrophy, as observed focal stromal edema. While in the main group was characterized by not only the presence of necrosis, as well as defined areas of circulatory disorders, foci of hemorrhage, edema, or hyalinosis of tissue. This research showed a high variability of macroscopic and microscopic characteristics of leiomyomas and the presence of secondary changes of varying severity. There is every reason to believe that the size of the tumor
nodes and pathologic features of leiomyomas may be an important marker for assessing the severity of disorders of homeostasis in utero-placental complex, and should be considered in the monitoring of pregnancy and childbirth.
oai:ojs2.localhost:article/87
2018-06-19T09:01:44Z
dpath:LET
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http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/87
2018-06-19T09:01:44Z
Diagnostic Pathology
2015
Success and failure in translation of findings from experimental autoimmune encephalomyelitis to multiple sclerosis
Berghoff, MD, Martin; Institute of Neurology
University of Giessen
2015-10-30 00:00:00
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/87
Encephalomyelitis; Translational Pathology; Neurology; Autoimmune Disorders; Therapeutic Strategies; Knockout Mice
MS; Multiple Sclerosis
en
Despite the differences between multiple sclerosis (MS) and its animal model experimental autoimmune encephalomyelitis (EAE), most of the knowledge on immune-mediated tissue damage in MS is based on data from EAE. Immune response– modifying therapies such as TNFα inhibitors, glatiramer acetate (GA) or natalizumab have been studied in rodents and have been translated into treatment for patients with varying success. In humans treatment with an anti TNF monoclonal antibody or a recombinant TNF receptor Ig fusion protein resulted in enhanced inflammation. In contrast, findings from GA or natalizumab have been successful in human translation. Findings of EAE studies should be interpreted carefully and should be confirmed using substances (proof of principle). Only if successful, these substances should be studied in humans.
oai:ojs2.localhost:article/103
2018-06-19T09:05:55Z
dpath:SHO
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http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/103
2018-06-19T09:05:55Z
Diagnostic Pathology
Vol 2 No 1 (2016): 2016
Limits of Morphological Diagnostics
Kunze, Klaus Dietmar
2016-02-26 00:00:00
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/103
Morphological diagnostics; epistemological; methodological; individual; communicative; economical and ethical limits
en
Background: Morphological findings have in medical diagnostics a particularly high significance. In most of diseases they are regarded as “gold standard†and as a benchmark for the results of other methods of examination. The basis of morphological diagnostics is the intuitive pattern recognition leading either to a definite medical diagnosis or to a differential diagnosis. The clarification of the differential diagnosis may be assisted by algorithms and other decision making methods.General survey: Morphological diagnostics encounters epistemological, individual, methodological, communicative, economical and ethical limits of. Objective limits result from cognitive science and methodology. A fundamental methodological limit consists in the static method of approach to a dynamic process. Subjective limits are the result of individual differences in diagnostic capabilities and in deficiencies in the communication between pathologists and clinicians.Conclusions: The limits of morphological diagnostics cannot be suspended but they may be shifted outwards. Deficiencies in morphological diagnostics may be negotiated by training and experience. Telepathology, digital pathology and virtual microscopy are valuable tools to improve the quality of morphological diagnostics.
oai:ojs2.localhost:article/251
2019-08-22T15:50:14Z
dpath:RES
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/251
2019-08-22T15:50:14Z
Diagnostic Pathology
Vol 3 No 1 (2017): 2017
The application of structural entropy in tissue based diagnosis
Kayser, Gian; Institute of Surgical Pathology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
Görtler, Jürgen; IBM Global Markets, Systems, Frankfurt, Germany
Weis, Cleo Aron; Institute of Pathology, University Medical Centre Mannheim, University of Heidelberg, Mannheim, Germany
Borkenfeld, Stephan; IAT, Heidelberg, Germany
Kayser, Klaus; Charite - Berlin
2017-08-20 13:31:32
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/251
Background: Entropy belongs to the few basic measurable entities in nature. It measures the distance of a closed or open ‘statistical’ system from its present stage to its final stage, and analyzes the probability distribution of the included elements, independently from their meaning. The development can be predicted by use of an ‘ideal transformation’, i.e. additive formula (for example Shannon’s entropy) or by mathematical derivatives such as the more generalized q – entropy, for example Tsallis entropy. Herein, the internal structures of the system are described which include so – called macro – systems. They are created by individual elements or basic micro – systems, and transformed into essentials of tissue – based diagnosis.Entropy and neighborhood: The basic entropy approaches consider a spatially force – independent system, i.e., the calculation of the elements’ probability distribution does not take into account the formation of macro – systems, or the position of the individual elements within the system or between individual elements. The receiver of an informative signal cannot distinguish whether it has been generated in the center or at the boundary of the system. Only the signal’s probability within the information chain and the formation of the chain are informative. However, neighborhood plays an important role in development, maturation, degradation, and dissolution of biological systems. Most cells are generated by cellular division and neighboring cells are more similar in morphology and function than non-neighboring cells. This observation also holds true for ‘higher order’ biological systems such as animal colonies, forests, or even human societies. Thus, a potentially successful approach of estimating the development of a biological system should include neighborhood definitions and considerations.Neighborhood conditioned (MST) entropy and entropy flow: Any definition of a neighborhood condition is based upon the distances between different elements, called objects. The distances can be weighted by additional object features, might be ‘directed’, or might include certain ‘shadow’ conditions (hidden behind another object). The most frequently used algorithm has been introduced by Voronoi in 1902. It can be successfully formulated in graph theory and derived approaches. In microscopic morphology, the construction of weighted minimum spanning trees (MST) is a convincing approach. Living biological systems are open and not closed. They exchange energy, information, and directives for future development with their environment. They have to stabilize their own entropy level against that of their environment. The mandatory entropy exchange or entropy flow from the individual element into its environment or vice versa reflects to the system’s stability and impact on its environment.Tissue–based diagnosis and entropy: Tissue–based diagnosis includes all technical procedures to ascertain a ‘medical diagnosis’, such as microscopic, electron microscopic investigations, gene analysis, proteomics, syntactic structure analysis, liquid biopsies, etc. Herein, the transformation and applicability of the entropy approach are described and discussed.
oai:ojs2.localhost:article/125
2018-06-19T09:14:11Z
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http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/125
2018-06-19T09:14:11Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Application Of Raman Microscopy For The Diagnosis Of The Chronic Lymphocytic Leukemia (Cll)
Fere, M.; MEDyC CNRS UMR 7369, UFR de Pharmacie, Reims, France
Liu, L. H.; MEDyC CNRS UMR 7369, UFR de Pharmacie, Reims, France
Gobinet, C.; MEDyC CNRS UMR 7369, UFR de Pharmacie, Reims, France
Beljebbar, A.; MEDyC CNRS UMR 7369, UFR de Pharmacie, Reims, France
Untereiner, V.; MEDyC CNRS UMR 7369, UFR de Pharmacie, Reims, France
Angiboust, J.-F.; MEDyC CNRS UMR 7369, UFR de Pharmacie, Reims, France
Manfait, M.; MEDyC CNRS UMR 7369, UFR de Pharmacie, Reims, France
Gheldorf, D.; CHU Dinant Godinne, Namur, Belgium
Jacquemin, H.; CHU Dinant Godinne, Namur, Belgium
Walbrecq, S.; CHU Dinant Godinne, Namur, Belgium
Cornet, E.; CHU Caen, Caen, France
Troussard, X.; CHU Dinant Godinne, Namur, Belgium
Chatelain, B.; CHU Dinant Godinne, Namur, Belgium
Angelo, J.; CMM-ARMINES, Fontainebleau, France
Chollat, M.; TRIBVN, Châtillon, France
Klossa, J.; TRIBVN, Châtillon, France
Piot, O.; MEDyC CNRS UMR 7369, UFR de Pharmacie, Reims, France
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/125
en
Introduction/ BackgroundIn hematology, actual diagnosis of B chronic lymphocyte-leukemia (CLL) is based on the microscopic analysis of cell morphology from patient blood smear. However, new photonic technologies appear promising to facilitate and improve the early diagnosis, prognostic and monitoring of personalized therapy. The development of automated diagnostic approaches could assist clinicians in improving the efficiency and quality of health services, but also reduce medical costs.AimsThe M3S project aims at improving the diagnosis and prognosis of the CLL pathology by developing a multimodal microscopy platform, including Raman spectrometry, dedicated to the automatic analysis of lymphocytes.MethodsBlood smears were prepared on glass slides commonly used in pathology laboratories for microscopy. Two types of sample per patient were prepared: a conventional blood smear and a deposit of “pure†lymphocyte subtypes (i.e. normal B, CLL B, T and NK), sorted out in flow cytometry by using the negative double labelling technique. The second sample is used for the construction of a database of spectral markers specific of these different cell types. The preparations were analyzed with the multimodal machine which combines i) a Raman micro-spectrometer, equipped with a 532nm diode laser excitation source; ii) a micro- scope equipped with 40x and 150x lenses and a high precision xyz motorized stage for scanning the blood smear, and localizing x-y coordinates of representative series (~100 for each patient) of lymphocyte cells before registering three Raman spectra; these cells of interest being previously localized by an original method based on the morphology analysis. After the Raman acquisitions, the conventional blood smears were submitted immunolabelling using specific antibodies. For the establishment of the Raman classifiers, this post-acquisition treatment was used as reference to distinguish the different lymphocyte sub-populations. Raman data were then analyzed using chemometric processing and supervised statistical classifiers in order to construct a spectral library of markers highly specific of the lymphocyte type and status (normal or pathological).ResultsCurrently, a total of 60 patients (CLL and healthy) were in- cluded in the study. Various classification methods such as LDA (Linear Discriminant Analysis), PLS-DA (Partial Least Square Discriminant Analysis), RF (RandomForest) and SVM (Support Vector Machine), were tested in the purpose to distinguish tumoral B lymphocytes from other cell types. These classification algorithms were combined with feature selection approaches. The best performances were around 70% of correct identification when a three-class model (B-CLL vs B-normal vs T and NK lymphocytes) was considered, and 80% in case of a two-class model (B-CLL vs B-normal lymphocytes). These encouraging results demonstrate the potential of Raman micro-spectroscopy coupled to supervised classification algorithms for leukemic cell classification. The approach can find interest more generally in the field of cyto-hematology. Further developments will concern the integration of additional modality such as Quantitative Phase Imaging on one hand to speed the exploration process of cells of interest to be probed, and on the other hand to extract additional characteristics likely to be informative for CLL diagnosis. In addition, the identification of prognostic markers will be investigated by confronting the photonic data to clinical patient information.
oai:ojs2.localhost:article/274
2019-07-06T08:42:09Z
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2019-07-06T08:42:09Z
Diagnostic Pathology
Vol 5 No 1 (2019): Vol. 5 No. 1 2019
Virtual Predictive Autopsy: From knowledge and understanding to education, research and communication in digital tissue – based diagnosis.
Kayser, Klaus; Charite - Berlin, Germany
Kayser, Gian; Institute of Pathology, University of Freiburg, Freiburg, Germany
2019-07-05 16:12:42
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/274
Background: The digital world is entering all compartments of tissue – based diagnosis, especially education, training and performance of surgical pathology. Theory: Communication is a requirement of life. It is based upon knowledge, understanding, and adequate response. Understanding tries to implement and spread concordant or target related actions. Analysis of liquid biopsy, cytology, biopsy, surgical specimens and autopsy comprise the tissue – based sources. They are transferred into images and create the basis of education and training, followed by research and publication. Present Stage: Liquid biopsies require the automated application of digital tools, such as digital visualization and statistical analysis of the obtained DNA / protein figures. Manual interference does not occur.Tissue of cytology, aspirations, biopsies, and surgical specimens are still fixed and processed in conventional manner, and placed on glass slides. Digital microscopy replaces conventional light microscopy in some pathology institutes. It is usually applied close to its analogue performance. Diagnosis assistants are used for quantification of specific image features, for example to score the expression of functional cellular markers. Digital microscopy is an important compartment of the available Hospital Information System too. At present, autopsies do not contribute to tissue – based diagnosis in a notable frequency. Even big University Pathology Institutes report an autopsy frequency less than 100 cases, in comparison to approximately 100,000 biopsy specimens or even more per year. Most authors name live imaging investigations (CT, MR, Ultrasound, etc.) for reason. An additional factor might be the diminishing impact of understanding in medical diagnostics: Highly precise information of individual (small) tissue compartments is frequently considered to be sufficient for treatment. They include receptor expressions, intra-cellular pathway abnormalities, gene alterations, etc. This seems to be a contradiction to ‘organ communitive information’ obtained from autopsies. Such post mortem information can also be obtained during the patient’s life time and predict the probable trails of recovery or death by use of digital pathology. The procedure is called ‘predictive autopsy’ and described in detail herein. Future aspects: Digital pathology is entering the field of ‘automated diagnosis’, starting with automated recognition of ‘regions of interest’ and associated characteristics such as automated diagnosis, digital self - recognition, automated failure repair, treatment advises, etc. The field of ‘digital autopsy’ will remain reserved for education because of need for ‘real autopsies’. The proposed ‘predictive autopsies’ offer additional perspectives of digital tissue – based diagnosis, which include the digital analysis of tissue / organ dysfunctions and syntax at life time, and the impact on forecast the recover /disease progress of the patient. Conclusions: Digital pathology is on its way to enter numerous implementations of tissue – based diagnosis. We propose digital ‘predictive autopsies’ as a new tool to analyze, explain, and forecast the involvement of all organs in the individual patient’s disease development and interpret the ‘cause of death’ more in detail.
oai:ojs2.localhost:article/142
2018-06-19T09:27:28Z
dpath:SY01
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http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/142
2018-06-19T09:27:28Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Automated Measurement Of The Density Of Vessels On Whole Slide Images Of Paediatric Brain Tumours
Deroulers, Christophe; Univ Paris Diderot-Paris 7, Physics Dept, Lab. IMNC, Orsay CEDEX, France
Dangouloff-Ros, V.; Hopital Necker-Enfants Malades, Department of Pediatric Radiology, Paris, France
Badoual, M.; Univ Paris Diderot-Paris 7, Physics Dept, Lab. IMNC, Orsay CEDEX, France
Varlet, P.; Centre Hospitalier Sainte-Anne, Department of Nauropathology, Paris, France
Boddaert, N.; Hopital Necker-Enfants Malades, Department of Pediatric Radiology, Paris, France
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/142
Introduction/ BackgroundMicrovasculature is known to have a prognostic significance in many brain tumours. It is important to be able to quantify it in a reproducible way on biopsy samples and, if possible, through noninvasive imaging techniques.AimsA quantitative and reproducible way to assess the microvasculature of biopsy samples of human paediatric brain tumours is needed, in order to help diagnosis (possibly give a hint of the grading of the tumours) and to see if a correlation exists with a perfusion MRI (ASL) signal. The method should be applicable to standard whole-slide images of samples immunostained with CD34 marker over haemalum. Such slides are usually very fragmented, which makes the manual measurement of density particularly tedious and error-prone.MethodsOur method starts with a precise determination of the zones of tissue on the whole-slide image. Then we measure their area and we calibrate automatically the staining optical densities and the background colour. Automated detection, measurement and counting of vessels takes place, based on a colour deconvolution [1] followed by automatic thresholding [4] and finally morphological operations to remove artefacts (e.g., dust). In order to deal with the large size of whole-slide images, many of which exceed the capacity of the computer’s memory, we proceed on rectangular extracts of the whole image. The whole treatment was performed on a standard desktop computer with 16 GiB of RAM [2]. In the end, masks of areas considered as tissue and as vessel walls and lumina are produced and uploaded, along with the virtual slide, to a webserver. This allows the pathologist to check the quality of segmentation from his office using a simple JavaScript-capable web browser. We tried two formats for web serving: DeepZoom (which can be served directly by a webserver) and pyramidal TIFF (which needs to be served by a modified version of IIPImage server [3] because lossless compression of the masks was used to preserve both disk space and image quality).ResultsOnly a few parameters have to be chosen, once and for all samples (e.g., the minimal acceptable size of a blood vessel fragment), which makes the method more robust than assessment by a (panel of) human expert(s). The automatic calibration steps enable one to deal with a heterogeneous set of slides (e.g., slight differences in background colour and staining). The method uses only open-source software. It is easy to extend or improve and not tight to a single immunomarker.We applied the method to 129 paediatric brain tumours of 8 different types and 3 locations (posterior fossa, thalamus, hemispheres) — 185 samples in total. For each patient, the density of microvessels in the sample is compared to the cerebral blood flow as assessed by preoperative perfusion-weighted-imaging using arterial-spin-labeling. We find a good correlation between microvascular density, MRI data and tumour grading. The microvascular density is broadly distributed among the samples.Visualisation in a web browser is slightly more fluid when images are uploaded in the DeepZoom format rather than as pyramidal TIFF images, but the former consumes roughly 20 times more disk space and needs the transfer of a very large number of files after each modification, which is less tractable.
oai:ojs2.localhost:article/158
2018-06-19T09:10:31Z
dpath:CAD
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http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/158
2018-06-19T09:10:31Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
A Workflow For Computer-Aided Cytology In Whole Slide Images: Application In Fine-Needle Aspiration Thyroid Cytology
Marée, R.; University of Liège, Systems and Modeling, Liege, Belgium
Mormont, R.; University of Liège, Systems and Modeling, Liege, Belgium
Begon, J.-M.; University of Liège, Systems and Modeling, Liege, Belgium
Degand, C.; ULB Erasme Hospital, Pathology Department, Brussels, Belgium
D’Haene, N.; ULB Erasme Hospital, Pathology Department, Brussels, Belgium
Salmon, I.; ULB Erasme Hospital, Pathology Department, Brussels, Belgium
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/158
Introduction/ BackgroundComputer-aided cytology has a long history in computer vision research with a large amount of works in cervical cancer screening [Bengtsson et al. 2014; Delga et al. 2014]. However, one still lacks practical systems in many cytology fields due to several technical challenges (incl. the need for significant computational resources and the lack of efficient collaborative tools to efficiently collect and organize realistic and large ground-truth data that would enable large validation of recognition algorithms).AimsWe present a novel workflow for computer-aided cytology using latest web, databases, and machine learning technologies with the aim to speed up the implementation of such systems. Here, we focus on specializing this framework and applying it for the assessment of thyroid nodules. In practice, physicians have to efficiently stratify patients according to their risk of malignancy in order to identify the best follow-up and therapeutic options. Fine-needle aspiration (FNA) and cytological assessment has become the predominant method used for the primary diagnosis of benign and malignant thyroid nodules, resulting in the categorization of patients as operative or non-operative candidates.MethodsData: FNAs were carried out using a 21-gauge needle attached to a 10-mL syringe. The aspirated material was smeared on slides, air-dried and subjected to a Diff- Quick stain. FNAs were scanned (Hamamatsuscanner, 40X, 0.23µm) at the ULB. Digital slides were transferred to a Cytomine (http://www.cytomine.be/) [Marée et al., 2016] server at the ULG.Algorithms: Our framework is generic so that one can specialize each of its component. Here, colour deconvolution [Ruifrok & Johnston 2001] is first applied on original image tiles to detect cells and separate them from background/artifacts. Detected foreground objects are then separated into individual cells or clusters. Localization of individual cells within clusters is then performed using Watershed and the distance transform. All individual cells are then classified using variants of our image classification algorithms. This binary model was trained and optimized using our ground-truth dataset of individual cells where we considered papillary cells with inclusion as positive and all other types of objects (cells with ground glass nuclei, nuclear grooves, normal follicular cells, artifacts, macrophages, polynuclear,...) as negative. Similarly, large clusters are classified using a binary model optimized on the ground-truth dataset to discriminate between normal and proliferative follicular architectural patterns.ResultsUsing Cytomine web annotation tools, experts first built an unprecedented ground-truth dataset of various types of normal and abnormal cells and clusters (> 6000 objects from 60 FNA whole-slide images) to train recognition models. Once all cells of new slides are classified by our workflow, predictions are uploaded to the Cytomine-Core server through HTTP requests and can be displayed in the Cytomine-WebUI as sorted galleries of most suspicious objects. At the conference we will present our qualitative and quantitative evaluation of the different steps of the workflow and discuss limitations and perspectives. This novel Cytomine module will be released as open-source in the near future so that other research groups will be able to train, apply, and extend it on their own data.
oai:ojs2.localhost:article/174
2018-06-19T09:09:06Z
dpath:STD
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http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/174
2018-06-19T09:09:06Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Color Calibration In Digital Pathology: The Clinical Impact Of A Novel Test Object
Clarke, E.; University of Leeds, Leeds Institute of Cancer and Pathology, Leeds, United Kingdom
Leeds Teaching Hospitals NHS Foundation Trust,
Department of Histopathology, Leeds, United Kingdom
Revie, C.; Leeds Teaching Hospitals NHS Foundation Trust, Department of Histopathology, Leeds, United Kingdom
Brettle, D.; Leeds Teaching Hospitals NHS Foundation Trust, Department of Histopathology, Leeds, United Kingdom
Wilson, R.; FFEI Limited, Hemel Hempstead, United Kingdom
Mello-Thoms, C.; University of Sydney, Faculty of Health Sciences, Sydney, Australia
Treanor, D.; University of Leeds, Leeds Institute of Cancer and Pathology, Leeds, United Kingdom
Leeds Teaching Hospitals NHS Foundation Trust,
Department of Histopathology, Leeds, United Kingdom
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/174
Introduction/ BackgroundGuidance from the Food and Drug Administration has recommended color standardization for whole slide imaging, as with all other digital systems. However there is known, unresolved and substantial variation in color between digital slide scanners. To address this issue, we created a novel color calibration test object which uniquely utilizes histochemical stains and a tissue-like substrate, affording accurate internal calibration of WSIs.AimsWe aimed to evaluate the clinical application of the novel test object.Objectives included: 1. Whether calibration made WSIs appear closer in color to the glass slide counterpart;2. Whether pathologists prefer calibrated WSIs; and, 3. Whether calibration affected diagnostic confidence.MethodsSix pathology cases that present known difficulties when viewed using a digital microscope were selected and WSIs were generated. These WSIs were calibrated using a color ICC profile created using spectral measurements from the test object. Twelve pathologists, blinded to intervention, compared calibrated and uncalibrated versions of each WSI on a medical-grade monitor. The display was color calibrated using a colorimeter which accounted for ambient lighting. Three, subjective responses were recorded on 7-point Likert scales.ResultsCalibrated WSIs were closer in appearance to the microscope in 40 of 72 trials, (56%) and were preferred in 46 of 72 trials (64%). Calibration improved diagnostic confidence (median 6.00 vs. 5.00, p=0.001). Diagnostic confidence with the calibrated slides was correlated with preference for color calibration (r=0.499; p<0.001).
oai:ojs2.localhost:article/190
2018-06-19T09:07:02Z
dpath:MIP
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http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/190
2018-06-19T09:07:02Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Raman Spectroscopy-Based Cancer Diagnostic Platform For Pathology Classification In Barrett’s Oesophagus And Its Integration Into Clinic
Isabelle, Martin; Biophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, Gloucester, United Kingdom
Old, O.; Biophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, Gloucester, United Kingdom
Lloyd, G.; Biophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, Gloucester, United Kingdom
Lau, K.; Spectroscopy Products Division, Renishaw plc, Wotton-under-Edge, United Kingdom
Dorney, J.; Biomedical Spectroscopy, School of Physics, University of Exeter, Exeter, United Kingdom
Lewis, A.; Department of Cell and Developmental Biology, University College London, London, United Kingdom
Thomas, G.; Department of Cell and Developmental Biology, University College London, London, United Kingdom
Shepherd, N.; Biophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, Gloucester, United Kingdom
Barr, H.; Biophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, Gloucester, United Kingdom
Bell, I.; Spectroscopy Products Division, Renishaw plc, Wotton-under-Edge, United Kingdom
Stone, N.; Biomedical Spectroscopy, School of Physics, University of Exeter, Exeter, United Kingdom
Kendall, C.; Biophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, Gloucester, United KingdomBiophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, Gloucester, United Kingdom
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/190
Introduction/ BackgroundRaman spectroscopy (RS) has been shown to accurately classify tissue pathology in a variety of conditions and organ systems. Much of this work has been performed using Raman microspectrometers on tissue sections.Despite the demonstrated potential as an accurate cancer diagnostic tool, RS is yet to be adopted by the clinic for histopathology review. The Stratified Medicine through Advanced Raman Technologies (SMART) consortium has begun to address some of the hurdles (e.g. tissue sample preparation, data collection, pre-processing and transferability) in its adoption for cancer diagnosis. SMART is a multicentre industry-clinical-academic collaboration with the aim of developing a pathology platform for advanced diagnosis, using developments in hardware and software. Renishaw’s Streamline™ Raman imaging technology enables the collection of Raman spectra much faster without compromising signal to noiseAimsThis study aims to assess the ability of this technique to accurately classify tissue pathology, using an oesophageal tissue model. This demonstrates the project’s mission to deliver a robust Raman based diagnostic platform to enable clinical researchers to stage cancer, define tumour margin, build cancer diagnostic models and discover novel disease bio markers.MethodsTissue was collected from the oesophagus in patients undergoing endoscopy or resection. Specimens were collected from patients with Barrett’s oesophagus (BO), dysplasia and adenocarcinoma, and snap frozen in liquid nitrogen. 8μm tissue sections were placed onto calcium fluoride slides for spectroscopic measurement and with contiguous sections stained with haematoxylin and eosin (H&E) for histological comparison. Raman spectra were collected across homogeneous regions of tissue pathology, using Streamline™ acquisitions of 60 seconds/line, at 1.1μm spatial resolution. Classification models were constructed to discriminate pathology subtypes.ResultsAdvanced multivariate statistical analysis tools were used to develop pathology classification models, which were then tested using leave-one-out cross-validation. Each sample was then classified using a ‘voting classification’ for all pixels from one sample. The sensitivity and specificity of this pathology classification model using RS to discriminate dysplasia/adenocarcinoma from BO produced sensitivity and specificities >80%.By combining multivariate statistical analysis with Streamline™ Raman acquisition of spectral data, we have demonstrated good sensitivities and specificities. This study illustrates the potential of non-invasive rapid Raman spectral mapping measurements and development of a robust and validated oesophageal classification model that are able to classify tissue pathology, providing a diagnostic tool for researchers and clinicians with potential application to other pathology and tissue types.
oai:ojs2.localhost:article/114
2018-06-19T10:05:55Z
dpath:RES
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2018-06-19T10:05:55Z
Diagnostic Pathology
Vol 2 No 1 (2016): 2016
The effects of digital workflow control for the performance of routine pathology
Haroske, Gunter; Hospital Friedrichstadt - Dresden
Moerz, Michael; Hospital Friedrichstadt - Dresden
2016-09-14 00:00:00
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/114
digital pathology; pathology workflow; LIS; IHE profiles; HL7; DICOM; WSI; affectivity
en
Introduction/ Background
Although the scanning technology for microscopic slides has been known for more than 15 years, its practical use in daily routine is still on the very beginning. Fast and reliable scanners enabled their increasing use in teaching, but not yet in consultation and primary diagnostics. So far the scanning is not handled as a process in the pathology laboratory by most of the pathology systems, leading to an interrupted workflow with delays and additional expenses. The requirement pro les for slide scanners can only be formulated with respect to their workflow integration.
Aims
The effects of different degrees of workflow digitalization have been studied as to analyze the sources of possible benefits of digital pathology as well as to identify the bottlenecks and inconsist-encies in the workflow control in a routine pathology laboratory. The adherence to existing IHE Technical Frameworks has been evaluated, too.
Methods
Performance statistics of routine pathology were evaluated in different phases of digital workflow control over more than 10 years in a medium-sized institute of pathology. Three phases were de-fined: 1. Uncontrolled, but digitally supported workflow with digital dictation, digital macrophotography, digital microphotography at few pathology workstations, and a "classic" pathology software system 2. Digital workflow control including digital dictation and digital photography. 3. In a pilot study at the end of the evaluation period the additional benefits of slide scanning were estimated.
Results
In the period between 2005 and 2015 a decrease of turnaround-time of roughly 20% was seen. Alone the effects of a (sub)total digital workflow control contributed about half of that effect. The implementation of slide-scanning did not add further acceleration so far, but enabled some additional functionality for improving quantitative reporting. This was achieved without an explicit commitment of the pathology software to standards in workflow control and with still leaving a few laboratory processes out of the control. Milestones and key elements of workflow management are reported in detail.
Conclusion
All processes both in the laboratory and in the diagnostics have to be checked (and changed, if necessary) for being fit in a streamlined pathology workflow. The implementation of scanners into the routine diagnostics will enforce those essential developments leading to increased productivity and quality.
oai:ojs2.localhost:article/64
2018-06-19T09:01:16Z
dpath:DIA
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/64
2018-06-19T09:01:16Z
Diagnostic Pathology
2015
How do I diagnose Rectum carcinoma Metastases into the Lung
Kayser, Klaus; Charite - Berlin
Borkenfeld, Stephan
Serguieva, Krasi
Kayser, Gian
2015-08-17 00:00:00
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/64
Primary Adeno Carcinoma; Blastoma; Germ Cell Tumor; Anthracosis; Atypical Alveolar Hyperplasia
en
This mild smoking women (7 pack years at pulmonary surgery) developed a well differentiated rectum carcinoma (pT3N1M0G1R0) at the age 54 years. Four years later two pulmonary lesions were detected suspicuous for lung metastases. Two intrapulmonary metastases were resected. No indication for additional metastases seven years after wedge resection of pulmonary metastases.
oai:ojs2.localhost:article/227
2018-06-19T08:58:25Z
dpath:QAM
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/227
2018-06-19T08:58:25Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Application of Medical Information System for Image-Based Second Opinion Consultations – Georgian Experience
Kldiashvili, E.; Georgian Telemedicine Union (Association), Tbilisi, Georgia
2016-10-03 22:48:33
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/227
en
Introduction/ Background
Medical information system (MIS) is at the heart of information technology (IT) implementation policies in healthcare systems around the world. Different architecture and application models of MIS are developed.
Despite of obvious advantages and benefits, application of MIS in everyday practice is slow.
Aims
On the background of analysis of the existing models of MIS in Georgia has been created a multi-user web-based approach. This presentation will present the architecture of the system and its application for image based second opinion consultations.
Methods
The MIS has been created with .Net technology and SQL database architecture. It realizes local (intranet) and remote (internet) access to the system and management of databases. The MIS is fully operational approach, which is successfully used for medical data registration and management as well as for creation, editing and maintenance of the electronic medical records (EMR). Five hundred Georgian language electronic medical records from the cervical screening activity illustrated by images were selected for second opinion consultations.
Results
The primary goal of the MIS is patient management. However, the system can be successfully applied for
image based second opinion consultations. The ideal of healthcare in the information age must be to create a situation where healthcare professionals spend more time creating knowledge from medical information and less time managing medical information. The application of easily available and adaptable technology and improvement of the infrastructure conditions is the basis for eHealth applications. It can be concluded, that the MIS is perspective and actual technology solution. It can be successfully and effectively used for image based second opinion consultations.
oai:ojs2.localhost:article/246
2019-08-22T15:54:33Z
dpath:RES
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/246
2019-08-22T15:54:33Z
Diagnostic Pathology
Vol 3 No 1 (2017): 2017
The long Tramp from Cellular Pathology to Molecular Pathology
Guski, Hans
2017-05-24 00:00:00
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/246
Background: The Charite is a well known and one of the biggest University Hospital in Germany. Its Institute of Pathology was founded in 1831, and took part in all changes and modifications of diagnostic surgical pathology. Herein, it forms the basis to describe the history and development of molecular pathology from its early beginning. The appearance of biological structures at microscopic levels forms its fundament, similar to additional tissue theories which have been derived from cellular pathology. Theories of pathology: Theories of pathology frequently describe reaction patterns, and try to explain the relationship between disease and its visible manifestation. They have entered pathology in the 20th century. To name some of them: theory of inflammation [Heinrich Schade 1924, [1], pathology of relations [Gustav Ricker (1924), [2], intercellular pathology [Tivadar Huzella (1937), [3].Derivatives: The observation of principal identity of biological meaningful elements can be agglutinated to a ‘general theory of live’ and its manifestation. All of the investigated elements posses the same regularities, which are altered, destroyed or newly built by external influences such as disease, physical and psychological forces. Not all magnification levels that display with these elements are of the same significance. Already Virchow suggested that ‘smaller elements (molecules) might be responsible for changes that are visible ‘in larger elements’ (at cellular level). The reflection on these ideas can be associated with the implementation of molecular techniques which has been developed in the 20th century and are still ongoing today. Perspectives: Thus, cellular and molecular pathology can be integrated under one umbrella. This umbrella will lead to newly man-formed structures, such as artificial DNA and gene components or functional chip implantations.
oai:ojs2.localhost:article/120
2018-06-19T09:14:11Z
dpath:SY01
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/120
2018-06-19T09:14:11Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Digital Image Analysis Of Her2 Immunostained Gastric And Gastroesophageal Junction Adenocarcinomas
Nielsen, S.L.; Aalborg University Hospital, Institute of Pathology, Aalborg, Denmark
Nielsen, S.
Vyberg, Mogens
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/120
Introduction/ BackgroundManual assessment of HER2 protein expression in gastric and gastroesophageal junction (GGEJ) adenocarcinomas is prone to inter-observer variability and hampered by tumor heterogeneity and different scoring criteria. Cases are frequently referred to FISH.AimsThis study aimed to evaluate the accuracy of digital image analysis (DIA) for the assessment of HER2 protein expression.Methods110 GGEJ adenocarcinomas were included in TMAs with 3 tissue cores per case. Two immunoassays, PATHWAY® and HercepTest™, and FISH were performed. The HER2 CONNECT™ DIA software as designed for breast carcinoma was applied. Connectivity, calculated by the software, was converted to standard IHC scores applying predetermined cut-off values for breast carcinoma as well as novel cut-off values.ResultsApplying HER2 CONNECT™ with established connectivity cut-off values designed for breast carcinoma resulted in 72.7% sensitivity and 100% specificity for the identification of HER2 positive cases. By application of new cut-off values, the sensitivity was increased to 100%, while the specificity remained 100%. With the new cut-off values, a 36-50% reduction of IHC equivocal cases requiring additional FISH analysis was observed. Conclusion: HER2 CONNECT™ with adjusted cut-off values seems to be an effective tool for the assessment of HER2 protein expression in GGEJ adenocarcinomas, allowing for a decreased need for FISH analyses.
oai:ojs2.localhost:article/266
2018-12-21T18:40:24Z
dpath:MET
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/266
2018-12-21T18:40:24Z
Diagnostic Pathology
Vol 4 No 1 (2018): 2018
Guidelines Digital Pathology for Diagnosis on (and Reports of) Digital Images Version 1.0 Bundesverband deutscher Pathologen e.V. (Federal Association of German Pathologist)
Hufnagl, Peter; Institute of Pathology, Charite – Medical University, Berlin, Germany
Zwönitzer, Ralf; Imassense GmbH, Berlin, Germany
Haroske, Gunter; Kommission Digitale Pathologie, Bundesverband Deutscher Pathologen e.V., Berlin, Committee Digital Pathology, Professional Association of German Pathologists
2018-09-08 05:53:14
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/266
Digitalization is entering the medical fields with increasing velocity and impact on diagnostic and therapeutic actions. In addition, it matures to a mandatory tool of quality assurance, reliable inter-disciplinary communication, and promotion of research.The Professional Association of German Pathologists wants to support their members in their thoughts and potential implementation of virtual microscopy and related issues. It founded a committee of digital pathology. Colleagues experienced in routine surgical pathology, information technology and practice have been asked to investigate prerequisites, actual technology stages and financial considerations, and to formulate their recommendations and guidelines.Herein, the official guidelines of the Professional Association of German Pathologists are presented. The guidelines focus on practical issues, Pathologists as well as IT experts or interested researchers are invited to make use of these guidelines. Our readers are also invited to inquire specific tasks or discuss their ideas and experiences. They might either contact the committee directly, or discuss specific points of view by writing a letter to the editor, or by submission of, and to formulate a corresponding interactive publication.
oai:ojs2.localhost:article/136
2018-06-19T09:28:00Z
dpath:KN
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/136
2018-06-19T09:28:00Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Strategies And Demands For Digital Pathology Workflow Integration
Pantanowitz, Liron; University of Pittsburgh, Medical Center, Pittsburgh, United States
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/136
Digital Pathology has many benefits and pathology laboratories around the world are capitalizing on many of these applications including education, telepathology, and image analysis. However, if not implemented well, digital pathology can have both positive and negative impacts on workflow. The key is to ensure that the digital imaging solution selected overall enhances workflow. Batched scanning, failed scans and downtime are examples where whole slide imaging can negatively impact workflow. High speed digitization, load balancing, and smart algorithms on the other hand can all improve workflow. Optimal image management and integration with the laboratory information system are also essential for sustaining an efficient digital pathology workflow. The aim of this talk is to address many of these critical factors, their impact on digital pathology workflow, and to discuss novel opportunities that by enhancing workflow will help evolve the practice of pathology.Â
oai:ojs2.localhost:article/288
2022-07-15T07:32:42Z
dpath:RES
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/288
2022-07-15T07:32:42Z
Diagnostic Pathology
Vol 7 No 1 (2022): Vol 7 No 1
The diagnostic significance of reticulin stain in biopsy of adrenocortical carcinoma
Wu, Suhua
Tan, Wanlin
Yang, Ping
Zhang, Yijun
Huang, Mayan
Cao, Yun; Sun-Yat-sen university cancer center
2022-07-14 18:45:10
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/288
en
Aims
To investigate the diagnostic significance of reticulin stain in biopsy of adrenocortical carcinoma.
Methods and results
21 cases of adrenal mass biopsy specimens collected at Sun Yat-sen University Cancer Center from November 2008 to July 2021 which included 19 cases of adrenal cortical carcinoma (ACC) and 2 cases of normal adrenal cortical were evaluated for their histologic,immunohistochemical(IHC)and reticulin stain features, and relevant literature was reviewed. The nuclei of ACC cancer cells were deeply stained, varying in size. Varying degrees of nuclear atypia, mitotic figures, focal necrosis and tumor giant cells were visible in ACC. Most of the cytoplasm was eosinophilic, some of the cytoplasm was transparent and the ACC cancer cells were nested, cord-like or diffuse distribution. In contrast, 2 cases of normal adrenal cortex puncture tissues showed that the cytoplasm of adrenal cortex cells was partially transparent, partly eosinophilic, with small nuclei and no atypia. Among ACC patients, 4 cases (4/19) were positive for CK. 6 cases (6/19) were positive for Vimentin. 8 cases (8/19) were positive for Inhibin-a, and 7 cases (7/19) were Melan-A positive. 7 patients (7/19) were positive for SF-1. 11 patients (11/19) were Syn positive and 4 patients (4/19) were CD56 positive. The Ki-67 index of the patients ranged from 2% to 90%. The reticulin stain of 2 cases of normal adrenal cortex showed that the reticular fibers were arranged regularly and completely wrapped the adrenal cortex cell. In the reticulin stain, a complete reticular fiber appeared, and the thickness of the fiber was moderate and uniform. In 19 cases of ACC, the reticular fiber was incomplete and damaged (19/19), mainly manifested as discontinuity, breakage, disorder, sparseness or disappearance.
Conclusion
Reticulin stain was an effective method for accurate diagnosis of adrenal cortical carcinoma.
oai:ojs2.localhost:article/153
2018-06-19T09:10:31Z
dpath:CAD
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/153
2018-06-19T09:10:31Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Structure, Function, And Predictive Diagnosis Algorithms
Kayser, Klaus; Charite, Pathology, Berlin, Germany
Borkenfeld, Stephan; IAT, Heidelberg, Germany
Carvalho, Rita; General Hospital, Pathology, Lisboa, Portugal
Kayser, Gian; University, Pathology, Freiburg, Germany
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/153
Introduction/ BackgroundBackground: Predictive diagnosis (PD) is a component of tissue based diagnosis. It is based upon immunohistochemical (IHC) and molecular genetic (MG) measurements of structures and functions. It predicts the outcome of individual cancer treatment.AimsTo develop computerized analysis of microscopic images in relation to prognosis evaluation of cancer patients.MethodsTheory: Structures are related to object – associated visual information that remains constant within the period of observation. Functions display with changes either in relation to contemporary structures or to the background or to both. Structures are usually visible in hierarchical spatial order, functions in both spatial and time oriented order. Functions usually alter or destroy one or several structures at a certain order which might cause the breakdown of the whole system, especially if higher order structures are involved. In microscopy the idea can be mapped on the diagnostic sequence that starts with conventional diagnosis (adenocarcinoma) followed by IH (receptor expression, EGFR), and ends with MG (k-ras). PD can be automatically derived from analysis of digitized images; and of potential (therapeutic) interactions between the different images (steps). The sequence results in:Analysis of image quality, and evaluation of regions of interest (ROI).Assessment of an automated conventional diagnosis.Analysis of IH expression and quantification.Analysis of intra-cellular pathways either by IH or fluorescent techniques.Analysis of therapeutic interactions and evaluation of prognosis.ResultsInterpretation and Experiences: Image quality evaluation and standardization are mandatory to assure constant quality and reproducibility of the analysis results, such as ROI finding, colour intensity, diagnosis assessment, and IH quantification. The automated investigation of MG pathways and the final PD classification are not problematic. Each component contributes to potential interaction (drug regime), which all together add to evaluate the patient’s prognosis. Perspectives: Graph theory defining nodes by structure and edges by function seems to be an adequate tool to construct an algorithm, which can be embedded in an open access data banks of individually tuned predictive diagnosis systems.
oai:ojs2.localhost:article/169
2018-06-19T09:08:24Z
dpath:QAM
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/169
2018-06-19T09:08:24Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Efficient, Unbiased Quality Assurance Of Automated Tissue Analysis Applicable To Daily Pathology Practice
Rasmusson, Allan; National Center of Pathology, affiliate of Vilnius University Hospital, Santariskiu Clinics, Vilnius, Lithuania
Plancoulaine, B.; Path-Image/BioTiCla, University of Normandy Caen, Caen, France
Herlin, P.; Faculty of Medicine, Vilnius University, Vilnius, Lithuania
Laurinavicius, Arvydas; National Center of Pathology, affiliate of Vilnius University Hospital, Santariskiu Clinics, Vilnius, Lithuania
Faculty of Medicine, Vilnius University, Vilnius, Lithuania
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/169
Introduction/ BackgroundQuantification of tissue biomarkers is increasingly demanded for diagnosis and is commonly performed by expert pathologists using microscopy of stained tissue at high magnification. This manual scoring is a reasonably fast, supervised procedure, but it suffers from inter- and intra-observer differences due to a) differences in selection of regions of interest, b) differences in quantity estimation, c) intra-tissue variability of biomarker expression. Computers and whole slide microscopy scanners have made it feasible to perform high-capacity analysis of high resolution images of tissue. Image analysis (IA) enables better reproducibility, but conversely, the unsupervised analysis introduces challenges regarding accuracy. Furthermore, borderline cases will always have to be rigorously inspected by pathologists.Many IA evaluation methods exist, but for pathology, a supervised comparison of experimental segmentation to an appropriately obtained standard criterion is the optimal strategy. The production of standard criterion necessitates evaluation of whole slide images to eliminate any possible region sampling bias while inter- and intra- observer bias can only be minimized by replacing any manual estimates by objective measurements.A logical step is thus to change the task of the pathologist from quantity estimation to verifying the output an automated procedure reports. Still, verification of entire tissue slides is in daily pathology practice too time-consuming. To minimize the workload pathology is turning to stereological methods which aim to efficiently quantify matter unbiasedly and have been proved useful for supervised validation of automated analysis for Ki67 scoring of breast cancer. However, the workload still needs to be reduced to a level comparable to the manual scoring procedure.AimsWe aim to enable high accuracy, objective evaluation of automated image analysis with a workload and workflow feasible for daily pathology practice. This regards both production of reference data for image analysis tool calibration and continuous quality control inspection of borderline cases.MethodsThis study investigates proportionate sampling, a very efficient stereological sampling scheme utilizing weighted sampling of regions of automated image analysis for manual evaluation of automated IA. The sampling of regions to be inspected by a pathologist draws upon the IA to assign probability weights to all regions. This results in a highly efficient, unbiased sampling and quality assurance estimate for the automated image analysis.ResultsPresented here is proof-of-concept of an efficient, unbiased image analysis evaluation methodology. The task of the pathologist is changed from quantity estimation to instead annotate discrepancies between the output from the IA and the tissue in a few sampled regions. From the annotations an unbiased quality assurance estimate of the IA can be estimated including levels of accuracy obtainable and expected workloads.This confirms that the stereological proportionate sampling enables manual verification of automated whole slide image analysis for unbiased reference dataset creation and quality control inspection in borderline cases. Furthermore, the methodology is easily integrated into both image analysis platforms for production of reference data sets and laboratory information systems for daily pathology practices.Â
oai:ojs2.localhost:article/185
2018-06-19T09:09:45Z
dpath:EL
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/185
2018-06-19T09:09:45Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Cytest - A New Platform For Training And Testing In Cytopathology
Lianas, Luca; CRS4 - CENTER FOR ADVANCED STUDIES, RESEARCH AND DEVELOPMENT IN SARDINIA, Data Intensive Computing, Pula, Italy
Piras, M.E.; CRS4 - CENTER FOR ADVANCED STUDIES, RESEARCH AND DEVELOPMENT IN SARDINIA, Data Intensive Computing, Pula, Italy
Musu, E.; CRS4 - CENTER FOR ADVANCED STUDIES, RESEARCH AND DEVELOPMENT IN SARDINIA, Data Intensive Computing, Pula, Italy
Podda, S.; CRS4 - CENTER FOR ADVANCED STUDIES, RESEARCH AND DEVELOPMENT IN SARDINIA, Data Intensive Computing, Pula, Italy
Frexia, F.; CRS4 - CENTER FOR ADVANCED STUDIES, RESEARCH AND DEVELOPMENT IN SARDINIA, Data Intensive Computing, Pula, Italy
Ovcin, E.; COREP, Member of the CyTest Project, Torino, Italy
Bussolati, G.; COREP, Member of the CyTest Project, Torino, Italy
Zanetti, G.; CRS4 - CENTER FOR ADVANCED STUDIES, RESEARCH AND DEVELOPMENT IN SARDINIA, Data Intensive Computing, Pula, Italy
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/185
Introduction/ BackgroundClinical training at the European level requires flexible ways to provide education across borders with the goal of a unified way to teach and assess quality. The CyTest project focuses on Cytological Training at European Standard through Telepathology. The project (2014-1-IT01-KA202-002607) has been approved and funded in 2014 by EU within the ERASMUS+ Program. The project consortium is composed of 4 leading university Institutions (COREP and University of Turin, University of Padua, Imperial College of London, IPATIMUP/University of Porto and University of Graz) with technological development and support provided by CRS4. In addition, it benefits from the collaboration of International Organizations (EFCS, Eurocytology, OME) and is open to contributions from additional groups and Societies.AimsOur aim was the establishment of a platform for the sharing of digital pathology images and of an auxiliary system that will use the latter platform for the distribution of cytologist training courses with an integrated virtual microscopy capability.MethodsThe CyTest platform is based on the integration between Moodle, an e-learning platform designed to create personalized learning environments, and OME OMERO, a well known open source software for visualization, management and analysis of biological microscope images. The former is used to provide access to a database of questions produced by specialized trainers and the latter provides access to digital pathology images and related metadata. We chose to base our infrastructure upon Moodle because it is one of the top leading platform for online education with a large community of users across both academic and enterprise level, highly customizable and modular. OMERO was chosen because of its compatibility with a large number of image formats for digital pathology images, its handling of image metadata (i.e., TAGs and Regions of Interest) and its easily extensible web platform.ResultsThe web platform can be used with a wide range of devices, it is compatible with most of the image formats produced by digital slides scanners and it can scale to a wide student body. Teachers can create courses, populate the Question Bank and aggregate questions in quizzes, while students can take classes and tests. When creating questions, teachers can choose images previously loaded and annotated. We provide two new types of questions: multiple choice, focused on an image and its ROIs, and interactive, where students identify areas on the image by markers that will be automatically compared to instructor’s specified ROIs. The currently deployed system holds already a set of several hundreds of images classified by categories (e.g., tissue type and diseases) with associated ROIs identified by pathologists. The CyTest platform provides a full technological solution for a more homogeneous training and testing of cytotechnicians and cytopathologists with uniform quality level assurance mechanism. The system could be easily extended to support the teaching of histopathological diagnosis. Moreover, the CyTest platform paves the way to an e-QUATE test, thus providing an efficient and economical way to replicate the test at European scale. The sustainability of the platform and the supported educational material (images, questions and evaluation algorithms) will be guaranteed by its integration in EFCS activities. We expect to distribute the CyTest System for validation by October 2016, for further information contact infocytest@corep.it.Â
oai:ojs2.localhost:article/140
2018-06-19T08:58:51Z
dpath:MET
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/140
2018-06-19T08:58:51Z
Diagnostic Pathology
Vol 2 No 1 (2016): 2016
Development of an Android based interactive Guide for the Berliner Medizinhistorisches Museum der Charite'
Klempert, Iris; Institute of Pathology, Charité - Universitätsmedizin Berlin, Berlin, Germany
Zerbe, Norman; Institute of Pathology, Charité - Universitätsmedizin Berlin, Berlin, Germany,
University of Applied Sciences - HTW Berlin, Dept. Applied Informatics, Berlin, Germany,
Charité - Universitätsmedizin Berlin, Centralized Biomaterialbank (ZeBanC), Berlin, Germany
Arndt, Timo; University of Applied Sciences - HTW Berlin, Dept. Applied Informatics, Berlin, Germany,
Schnalke, Thomas; Berliner Medizinhistorisches Museum, Charité - Universitätsmedizin Berlin, Berlin, Germany,
Hufnagl, Peter; Institute of Pathology, Charité - Universitätsmedizin Berlin, Berlin, Germany,
University of Applied Sciences - HTW Berlin, Dept. Applied Informatics, Berlin, Germany,
Charité - Universitätsmedizin Berlin, Centralized Biomaterialbank (ZeBanC), Berlin, Germany
2016-08-09 13:21:34
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/140
e-Learning; Berlin Historic Medical Museum; Android; Podcast; Holistic Education
en
BackgroundPathology is defined as the science of disease-induced tissue alterations that range from macroscopic via microscopic to molecular levels of view. Herein we report the implementation of portable electronic devices that offer a holistic education and visualize disease related tissue information of formalin fixed organs (macroscopic appearance) together with microscopic images.AimsContinuous content updates, high performance, data-caching and the use apps in offline mode without network connecÂtion as well as the large amount of smartphone and tablet computers  that run under Android operating system got us to create an appropriate system. The inclusion of virtual slides and virtual microscopy was assigned, however not yet possible at the date of system compilation.MethodsWe combined our virtual microscope „AndroScope“ with a new developed user-interface of the „Berliner Medizinhistorisches Museum“ (Berlin Historic Medical Museum, BMM) for android based mobile devices such as smartphone and tablet comÂputer. We used images of the exhibition samples, information of the corresponding organs and diseases, as well as epidemiology data and whole slide images for visualization of histological changes. Linkage of digital content and samples is realized using QR-codes to assure valid and user-friendly recognition. We have also evaluated other technologies such as NFC, Bluetooth, WiFi or GPS to ensure that the QR-Code solution is the best opinion. The application offers an online mode with full functionality and an offline mode with limited access to images as well as to the virtual microscope.Â
oai:ojs2.localhost:article/56
2018-06-19T09:06:22Z
dpath:DIA
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/56
2018-06-19T09:06:22Z
Diagnostic Pathology
2015
Bronchocentric Granulomatosis
Kayser, Klaus
Borkenfeld, Stephan
Serguieva, Krasi
Kayser, Gian
2015-06-30 00:00:00
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/56
Bronchocentric Granulomatosis, Aspiration, Lung, Galectin,
en
A 42 years old male patient developed acute cough with fever and severe wheezing. he was non-asthmatic, non-smoker, and not exposed to Asbestos. Clinical investigation indicated acute organizing pneumonia in the left lower lobe without sign of response to applied antibiotic treatment. Resection of the lower left lobe war performed. A circumscribed lesion measuring 25 mm in mximum diameter displayed microscopic with centrally necrotized bronchi of medium and larger size surrounded by chronic lymphocytic granulomatous inflammatory infiltrates. No verification of fungus, tuberculosis or parasites in the suitable stains. Normal count of asbestos fibers (5 fibers/gr wet tissue). Expression of galectin 1, 3, 8 and their binding sites only in the affected bronchi in accordance with inflammatory changes, i.e., only secondary involvement of peripheral lung tissue. Post surgical evaluation of the patient's history revealed an infection of Saccharomyces carlsbergensis, Schizosaccharomyces pombe and Dictyostelium discoideum. Saccharomyces carlsbergensis is a known to be saprocyte in the sputum of patients displaying with infections of the lower airways, and it might be considered as participating factor in the development of bronchocentric granulomatosis. The post surgical follow up of the patient was inconspicuous. Differential diagnosis: Aspiration, Pneumocistis carinii pneumonia, Tuberculosis, Aspergillosis
oai:ojs2.localhost:article/222
2018-06-19T08:59:53Z
dpath:DIM
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/222
2018-06-19T08:59:53Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Cross-Fertilization between Computational Morphogenesis and Digital Pathology
Siregar, P.; Integrative Biocomputing, Centre d’Affaires Buro Club, Place du Granier, 35135 Chantepie, France
Julen, N.; Integrative Biocomputing, Centre d’Affaires Buro Club, Place du Granier, 35135 Chantepie, France
2016-10-03 22:12:16
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/222
en
Introduction/ Background
We believe that Computational Morphogenesis (CM) and Digital Pathology (DP) can be combined to provide valuable tools to study cancer, and improve patient diagnosis and prognosis. CM could play a research-oriented role in the quest to understand the biological and biophysical processes that underlie the different paths of cancer development. DP can play a key role for this task. In return, domain-specific validated CM Model (CMM) such as a stage I colon cancer model could assist routine DP. Our aim is to give an outline of what DP can bring to CM and how DP can be enhanced by incorporating CMMs. In order to have a CM platform that can be tailored to produce a specific CMM, the platform must allow specifying (i) cells lineages and their properties, (ii) their interactions via autocrine, paracrine and endocrine signals and (iii) their interactions with the extracellular matrix. We now describe how data from biology and DP can provide the necessary inputs to switch from a generic CM to specific CMM.
What DP can bring to CM
In cancer studies, cell lineages and their spatial organization can be obtained via tumor-associated (TA)
biomarkers such as PD-L1 - PD1 [1] and CD86 - CTLA-4 [2]. Other biomarkers of particular interest include those that characterize TA and non-TA mesenchymal stem cells [3, 4], fibroblasts [5], macrophages [6, 7], and T cells [8]. Using 3D z-staked representations, the instantaneous snapshot of the spatial organization of specific cell lineages can instruct the modeling task, and different dynamic models can be built since TA and non-TA cells of a same general class (e.g. macrophages) can have distinct phenotypes such as promoting or inhibiting tumor progression [6, 7]. Once the 3D spatial organization of the different cell-types is encoded into a CMM, reverse engineering and simulation can help determine putative initial tissue organization that may have led to the current tumor. Similarly, possible future states of the tumor can be predicted and then validated by comparing the simulated 2D/3D features by those obtained from real data. Hence, DP data could constitute one of the cornerstones of the iterative process of CMM specification, calibration, selection and validation. Enhancing DP systems by integrating CMMs Validated CMM could enhance current DP systems for patient diagnosis and prognosis. Machine learning (ML) technics have been applied to analyze 2D WSI [8, 9] and it is very likely that extending such methods to 3D tumor representations will improve the classification task. A large number of CMM-derived 3D reference models (3DRM) of, say, stage 1 colon cancer, could be produced as a complement to 3D models obtained by z-staking. The output of ML technics applied to real and simulated data could then be benchmarked by pathologists in order to assess if, when and how 3DRM can be integrated into decision-support systems dedicated to DP. We have designed a prototype generic CM tool that has been tested to generate multi-scale models of vascularized kidney structures from virtual stem cells. It can be linked to a DP platform for further developments.
oai:ojs2.localhost:article/97
2018-06-19T09:04:46Z
dpath:RES
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/97
2018-06-19T09:04:46Z
Diagnostic Pathology
2015
The concept of entropy in histopathological diagnosis and targeted therapy
Kayser, Klaus; Charite - Berlin
Borkenfeld, Stephan
Carvalho, Rita
Kayser, Gian
2015-12-31 14:35:29
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/97
en
BackgroundTargeted therapy has been developed to apply individual patient – specific drug regimes that are based upon specific bio-chemical intra-cellular pathways and usually related to cellular proliferation or apoptosis.Entropy Definition and Concept Entropy is considered to be a physical entity similar to space and time. It quantifies the distribution of events and transport mechanisms in relation to the macrosystem for thermodynamic, chemical and biological processes which are analyzed by statistics, communication and information methods. It amounts the distance of a gross (macro) system from its final stage in heat theory; in biology the entropy flow measures its dynamics (distance from its environment) through the surface of an open macrosystem, for example of a society, an individual, an organ, a gene, cell, and others. A derivative of entropy is the so-called structural entropy that measures the distance of internal (enclosed) microstates in the macrosystem. It can be computed by quantification of internal (vascular) and external (outer) surfaces of solid tumors, and their proliferation.Entropy and targeted Therapy The most frequently investigated pathways include onco and suppressor genes that display pathways with cellular surface receptors such as the epidermal growth factor receptor (EGFR), and others. The presence and signalling intensity of EFGR in a set of malignant tumors can be considered as microstate in a large compartment of the whole cancer (macrosystem). Thus entropy and structural entropy can measure and classify the internal dynamic structure of the investigated cancer and can be associated to the therapy response and patient’s survival.Results The concept of entropy and structural entropy has been tested and applied on several cancer cell types including primary lung cancer and pulmonary metastases of colon cancer. The patients’ survival rates were closely associated with the corresponding entropies and entropy flows. These tests have been based upon visualization of proliferation (Ki-67). The extension of this entropy concept to be applied in targeted therapy of breast and lung cancer is under investigation.Conclusion The concept of conventional and structural entropy is a promising tool in search for understanding biological structures and their related functions, for improved analysis of microstate dynamics in malignant tumors, and can serve for refinement of targeted therapy. Â
oai:ojs2.localhost:article/232
2018-06-19T08:55:24Z
dpath:RES
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/232
2018-06-19T08:55:24Z
Diagnostic Pathology
Vol 2 No 1 (2016): 2016
Research on Devices for Handling Whole Slide Images on Pathology Workstations. An Ergonomic Outlook
Alcaraz Mateos, Eduardo; Pathology Department, Morales Meseguer University Hospital, Murcia, Spain.
Caballero-Alemán, Fuensanta; Intensive Care Unit. Morales Meseguer University Hospital, Murcia, Spain.
AlbarracÃn-Ferrer, Mariano; Faculty of Medicine. University of Murcia, Spain.
Cárceles-Moreno, Francisco; Faculty of Medicine. University of Murcia, Spain.
Hernández-Gómez, Rubén; Faculty of Medicine. University of Murcia, Spain.
Hernández-Kakauridze, Sergio; Faculty of Medicine. University of Murcia, Spain.
Hernández-Sabater, Laura; Faculty of Medicine. University of Murcia, Spain.
Jiménez-Zafra, Ignacio; Faculty of Medicine. University of Murcia, Spain.
López-Alacid, Alberto; Faculty of Medicine. University of Murcia, Spain.
Moreno-Salmerón, Carmen; Faculty of Medicine. University of Murcia, Spain.
Pérez-Ramos, Miguel; Pathology Department, Morales Meseguer University Hospital, Murcia, Spain.
Nieto-Olivares, Andrés
Sánchez-Campoy, Nicolás; National Institute of Statistics, Lerida, Spain.
MartÃnez González-Moro, Ignacio; Faculty of Physiotherapy, University of Murcia, Spain.
Poblet, Enrique; Pathology Department, Reina Sofia University Hospital, Murcia, Spain
2016-12-02 15:22:22
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/232
Digital Pathology; Ergonomics; Input Device; Fitts test; NASA-TLX; Voice recognition
en
BackgroundDigital Pathology represents a technological innovation that introduces changes in the traditional tasks of pathologists. In this regard, an important issue that has not been enough emphasized is the image handling from an ergonomic point of view to avoid work-related musculoskeletal disorders (MSD). The aim of this study was to investigate a proper input device for digital pathology.Material & MethodsResearch was conducted in two phases: (1). A comparative study to find out an optimal external controller. Eight medical students analyzed 11 input devices: keyboard (Hewlett Packard, HP), conventional mouse (HP), vertical mouse (CLS), touchpad (Logitech), 3 trackballs (Logitech, Kensington Expert and Ulove), Rollermouse (Contour), Ergopointer (Märzhäuser Sensotech), gamepad (Logitech) and a touchless device (Leap Motion Controller), using them with the Image Viewer software (Ventana). The web-based Fitts´ law test (UC Berkeley) was used to objectify the accuracy of each used device, randomly. 12 items were included in the questionnaire: comfort, technical aspects (cursor movement and objective achievement), prospects, overall satisfaction, prior experience, and others. (2). Evaluation by two experienced pathologists of the best rated input device on the previous experiment and its comparison with a voice recognition system (Invox Medical Dictation, Vocali) using a headset microphone (Plantronics). Perceived workload was scored using the NASA Task Load Index on 28 whole slide images visualized on the Digital Image Hub (Leica) platform with a 4 MegaPixel display (Barco). Data were processed with SPSS 21.0.ResultsCorrelation between technical aspects of the evaluated devices and accuracy (Fitts´ law test), and comfort with overall satisfaction, was demonstrated (p<0.05). Comparative analysis of the 11 input devices concluded that vertical mouse was the best rated input device. However, on the second phase of the study, we find a slightly higher perceived workload using this device than using the voice recognition system, which was the best controller in digital pathology from an ergonomic point of view in this study.ConclusionsWe describe a methodology that can study and compare input devices for future workstations in digital pathology. Pathologists should be involved in this process trying to find ergonomic devices that prevent MSD. Voice recognition can function as a good handsfree device for digital pathology and could be considered in physical disability situations. Further studies using electromyography, accelerometry and 3D reconstruction analysis could provide additional ergonomic information.
oai:ojs2.localhost:article/112
2019-08-22T16:07:58Z
dpath:RES
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/112
2019-08-22T16:07:58Z
Diagnostic Pathology
Vol 2 No 1 (2016): 2016
Comparing Conventional and Telepathological Diagnosis in Routine Frozen Section Service
Hufnagl, Peter; Charité - Universitätsmedizin Berlin
Guski, Hans; Charité - Universitätsmedizin Berlin
Hering, Jörg; Vivantes Clinic Berlin
Schrader, Thomas; University of Applied Sciences, Brandenburg
Kayser, Klaus; Charité - Universitätsmedizin Berlin
Tennstedt-Schenck, Cornelia; Practice for Pathology Mühlhausen
Dietel, Manfred; Charité - Universitätsmedizin Berlin
Winzer, Klaus-Jürgen; Charité - Universitätsmedizin Berlin
2016-06-17 11:02:35
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/112
Frozen section service, Telepathology, Remote telemicroscopy, Breast surgery, Randomised study
en
Aims: In a prospective randomised study the diagnostic accuracy of frozen section service of conventional and telepathological procedures was compared for routine breast surgery.Material and Methods:In the telepathological approach the surgeon performed the gross examination and macroscopic cutting directly supervised via videoconference by a pathologist. Then a technician prepared the frozen sections and the staining. The on-line histological diagnosis was done using a remote controlled robotic microscope. The images were transferred to the computer screen of the pathologist. In the conventional mode, the pathologist himself manually performed the gross and microscopic tissue examination in the same laboratory. The material was restricted to breast specimens and the number of participating surgeons was limited in order to obtain comparable results. All in all, 81 routine frozen sections of the breast were included in the study within seven months.Results: The overall diagnostic concordance of both approaches with the definite diagnosis based upon paraffin embedded tissue was calculated to 95,1 % (77/81 cases). The telepathology arm revealed 94,3 % (33/ 35 cases), and the conventional arm 95,7% (44/46 cases). Two cases of each arm remained uncertain. The median diagnostic time was calculated to 9 minutes in the conventional mode and to 17 minutes for telepathology. Not included are median 3 minutes for transportation and 12 minutes for slide preparation.Discussion: Telepathology can replace successfully conventional performance of frozen section service within the same range of diagnostic accuracy.
oai:ojs2.localhost:article/257
2018-11-26T16:07:14Z
dpath:REV
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/257
2018-11-26T16:07:14Z
Diagnostic Pathology
Vol 4 No 1 (2018): 2018
Intratumoral heterogeneity
Vuletić, Filip; Doctor of Medicine, University of Zagreb, School of Medicine
Zajec, Vendy
Vuletić, Lovorka Batelja
Seiwerth, Sven
2018-02-05 07:55:59
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/257
Intratumoral heterogeneity has become the main obstacle in treatment of malignant diseases. Although it has been known for decades, that several morphologically different sub-populations of tumor cells do exist within an individual malignant tumor, the interest in this issue has been limited for a long time. Now-a-days, the interest in this field is raising again with the emergence of need for a more detailed analysis of tumor cell characteristics. It is essential to integrate and extend our knowledge of intratumoral heterogeneity and to sufficiently elucidate this fact because intratumoral heterogeneity is considered one of the main reasons for drug resistance and development of progressive metastases. New light has been shed on the significance of discovering new methods for determining intratumoral heterogeneity. These should assist to presume cancer progression including invasion, metastasis, drug resistance, disease relapse and to administer the most adequate treatment. Although no doubt exists that intratumoral heterogeneity is evident in several, if not most malignant tumors, its origin has not been confirmed, and still remains to be discussed. So far, two theories have been proposed that try to explain the development of intratumoral heterogeneity: the idea of ​​‘cancer stem cells’ and the idea of ongoing cancer cell mutations that implement different cell clones. Both theories are discussed as mutually restricted hypotheses in the literature; however, they play an essential role in explaining the occurrence of tumor cell heterogeneity.
oai:ojs2.localhost:article/131
2018-06-19T09:14:47Z
dpath:EP
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/131
2018-06-19T09:14:47Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Pathology Assistant (C) - Gamechanger Of Pathology Diagnostic
Kudaybergenova, Asel; Petrov Research Institute of Oncology, pathology, Saint Petersburg, Russian Federation
Remez, A.; UNIM, MOSCOW, Russian Federation
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/131
Introduction/ BackgroundUNIM Ltd. specializes in pathology diagnostics and digital pathology. We have created the SAAS platform DPathology that can be used for saving and studying histological slides and it doesn’t require an installation of a special software. You can use the platform with all the modern internet browsers. The SAAS platform gives all the specialists a chance to analyze remotely digital histological slides. It increases the accuracy of diagnostics and speeds up the medical assessment. The platform is used in several hospitals to get a consultation from the leading specialists from all over the world. It also can be used to create the Medical Big Data and the database for pathologists..AimsUsing our platform, we developed a digital multi-head microscope system for the professional society and we are planning on holding the first education program based on it onthe 15th of January 2016. Specialists fromCzechRepublicwill be our speakers and as the first round we want to show four cases of skin cancer. MethodsThis year we hold a competition for pathologists based on Dpathology software (www.finaldiagnoses.ru). 250 specialists registered to take part in the competition. There were fourteen cases from different specializations: we provided participants with clinical data and digitized histological slides. We got the cases from our partners from theCzechRepublicandItaly. ResultsWhen the competition ended, we received many favor- able reviews and we decided to start another project a little bit similar to the competition. Every month we show three interesting and difficult to diagnose cases provided by the leading Russian pathologists. The participants can look through the clinical data and digitized histological slides, and then discuss what they see among their professional society. There are 400  specialists  from  post  USSR countries.  Moreover, we get a few proposal of partnership to start a similar project in EU. And the last product in line is Pathology Assistant. It is a game changer. Pathology Assistant is a Digital Pathology©technology driven application for pathology diagnostics, tool to innovate pathology diagnostics in more simple, proven by analytical algo- rithm, automatically delivering anticipated support way. The service provides vast and structured database of validated cases, intuitive interface, fast and convenient system of analytical search. Pathology Assistant will streamline and simplify pathologist’s way to the right decision. Pathologists from Memorial Sloan Catering and biggest EU labs are working on preparing the con- tent for the project.Â
oai:ojs2.localhost:article/279
2020-12-16T19:42:56Z
dpath:EDI
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/279
2020-12-16T19:42:56Z
Diagnostic Pathology
Vol 6 No 1 (2020): Vol 6 No 1
Diagnosticpathology.eu - Reflections 2020 and Perspectives 2021
Kayser, Klaus; Charite - Berlin
2020-12-16 13:51:22
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/279
Background and present situation: The journal www.diagnosticpathology.eu experienced a difficult year in 2020 and expects poor perspectives in 2021. It is still of interest to several colleagues and its articles are still cited after years. However, this journal with technically unique features such as publication of virtual slides, preformatted case reports, as well as advanced methods of annotations was not perceived as valuable for the career of the contributing authors.
Details: Authors are highly interested in the maximum benefit from their research which is obviously regulated by research financing and / or by their laboratory institution and administration.
Each administration has to implement financially oriented regulations in science which are based upon the ‘scoring’ of the publications. Therefore, certain score systems such as citation indices of various algorithms have been created. They possess remarkable financial impact. They automatically support the main stream of journals and regulate the market.
Furthermore, competition in open access journals has increased and predatory journals exist. To attract scientists several open access journals do not limit their publication area to specific medical research or disease specification and publish a broad spectrum of research themes, diseases and clinical presentations.
Forecast: The year 2021 will become as difficult as the year 2020 for the journal www.diagnosticpathology.eu if its goal and business model will remain. It was based on voluntary resources and focused on innovative research publication only. Therefore, new goals have to be defined. These will include:
Redefinition and reorganization of the journal. The journal might not remain a ‘simple’ communication tool for research and science. It might be expanded to become a ‘real research tool’ in scientific communication.
New automated features have to be implemented. These might include ‘estimates for future impact’ of published articles based upon entropy considerations and, automated review of submitted articles.
Conclusions: We still believe in our basic concept that ‘communication in research’ has to be separated from financial issues. It should take into account that nature can best be understood by investigating in its boundaries.
oai:ojs2.localhost:article/148
2018-06-19T09:27:28Z
dpath:VM
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/148
2018-06-19T09:27:28Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Block-Centric Visualization Of Histological Whole Slide Images With Application To Revealing Growth-Patterns Of Early Colorectal Adenomas And Aberrant Crypt Foci
Zerbe, Norman; Charité - Universitätsmedizin Berlin, Institute of Pathology, Berlin, Germany
Charité - Universitätsmedizin Berlin, Centralized Biomaterialbank (ZeBanC), Berlin, Germany
University of Applied Sciences - HTW Berlin, Dept. Applied Informatics, Berlin, Germany
Heim, D.; Charité - Universitätsmedizin Berlin, Institute of Pathology, Berlin, Germany
Kantonen, J.; Haartman Institute, Dept. of Pathology, University of Helsinki, Helsinki, Finland
Klauschen, F.; Charité - Universitätsmedizin Berlin, Institute of Pathology, Berlin, Germany
Schlüns, K.; Charité - Universitätsmedizin Berlin, Institute of Pathology, Berlin, Germany
Hufnagl, P.; Charité - Universitätsmedizin Berlin, Institute of Pathology, Berlin, Germany
Charité - Universitätsmedizin Berlin, Centralized Biomaterialbank (ZeBanC), Berlin, Germany
University of Applied Sciences - HTW Berlin, Dept. Applied Informatics, Berlin, Germany
Bläker, H.; Charité - Universitätsmedizin Berlin, Institute of Pathology, Berlin, Germany
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/148
Introduction/ BackgroundComfortable navigation through diagnostic images is a prospective challenge for the acceptance of virtual microscopy applications in routine pathology [1],[2]. Tracing different regions of interest through multiple sections on one or several slides is a typical task in diagnostic slide examination. This laborious and time-consuming co-localization is currently executed by pathologists. Retaining the relative positions of tissue structures while alternating between multiple slides is still not feasible in a satisfactory manner in conventional nor virtual microscopy.AimsTo address this issue we present a more comfortable and intuitive method to read slides using computer-assisted navigation. Furthermore, we demonstrate the strengths of our method by applying it to large series of serial colorectal tissue sections, creating new kinds of visualizations of different adenomatous mucosal architectures in human tissue, while looking for human correlates of lesions recently described in mice [3].MethodsHistological images contain multiple distortions from different sources in the laboratory and digitalization process. An interconnection model was created to describe distortions by several layers, providing a normalized tissue representation. Layers were associated with specific distortions with each layer serving as a new level of abstraction. The first layers enabled a coarse alignment of tissue sections. Further alignment is achieved by piecewise, multi-resolution, SIFT-based [4] correspondence extraction and refinement. Inside the convex hull of all fiducial points local affine transformations were applied whereas a global affine transformation was used on the outside. Animated stacks were generated for regions of interest using local rigid transformations to preserve exact morphological coherences. For subsequent creation of 3D models, the relevant histological objects within these images were annotated by pathologists, partly using computer assisted segmentation based on active contours [5]. These annotations were used subsequently to create simplified 3D models by applying VTK [6]. ResultsThe presented methods provide an efficient means to retrieve correspondences and additional spatial information from serial sections of histological slides. They also show good applicability for specimen from different origin. Alignment methods can be applied to generate block-centric visualizations such as parallel and transparent viewing of multiple stains. Moreover, the generated stack videos and 3D models demonstrate the very good accuracy of section alignment even in large series. The visualizations enable pathologists and researchers to grasp the 3D structural relationships in the tissue at a glance, providing an excellent tool to communicate more complex histomorphological findings. Interestingly, we see two kinds of tubular adenomas, which could imply multiple ways to tubular adenoma formation in FAP-patients, possibly akin to the recent observations in mice [3].
oai:ojs2.localhost:article/164
2018-06-19T09:08:24Z
dpath:IMT
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/164
2018-06-19T09:08:24Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Influence Of Display Characteristics On Clinical Performance In Digital Pathology
Kimpe, Tom; Barco, Healthcare Division, Kortrijk, Belgium
Avanaki, A.; Barco, Healthcare Division, Beaverton, Oregon, United States
Espig, K.; Barco, Healthcare Division, Beaverton, Oregon, United States
Rostang, J.; Barco, Healthcare Division, Kortrijk, Belgium
Van Hoey, G.; Barco, Healthcare Division, Kortrijk, Belgium
Xthona, A.; Barco, Healthcare Division, Beaverton, Oregon, United States
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/164
Introduction/ BackgroundDigital Pathology adoption is increasing rapidly. Recent technological advances have resulted in a steep increase in the performance and quality of digital pathology systems. Quality assurance mechanisms are being developed to ensure consistent quality of scanned slide images. However one important component that surprisingly is often overlooked is the display system. Pathologists base their diagnosis on the images presented by the display. The quality of these digital images depends on all of the components in the imaging chain, including the display itself. Even a perfectly scanned high quality image will not be useful if it is visualized on a low quality display.AimsThe goal of this paper is to study important display characteristics and to determine what their effect is on percent correct diagnosis, reading time, diagnostic confidence and inter-pathologist-agreement. Furthermore a recommendation will be provided for minimum requirements of a digital pathology display system.MethodsThis paper combines and analyses results of several experiments that we have performed during the last two years. These studies included actual clinical studies where pathologists diagnose clinical images, reading studies where pathologists subjectively score quality of clinical images, as well as bench testing on both test and clinical images. Separately analyzing the influence of display luminance, color settings, calibration and quality assurance, stability and resolution allows us to determine a relative importance of these characteristics. It also allows recommending minimal display specificationsResultsA first clinical study analyzed the impact of luminance and color instability/aging of display systems on reading time, percent correct diagnosis, and inter pathologist agreement. 120 clinical digital pathology images were presented to pathologists. The images were scored and the diagnosis and reading time was recorded. The study shows that both luminance and color instability result into lower percent correct, lower inter pathologist agreement, and higher reading time. The results also suggest that color instability has a larger influence than luminance instability. A second study focused on color settings of a display. Three different calibration settings were compared: “sRGBâ€, “DICOM GSDF†and a recently proposed new standard “CSDFâ€. Bench testing and subjective reader preference analysis was performed. Results indicate that perceived contrast of clinically relevant features in digital pathology images is higher when using CSDF compared to sRGB and DICOM GSDF. A final study looked at display size, resolution, contrast and luminance and their influence on subjective quality preference, ease of reading and reading time. Based on the combination of these different results we make clear recommendations for minimum specifications for digital pathology display systems.
oai:ojs2.localhost:article/180
2018-06-19T09:09:45Z
dpath:CWI
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/180
2018-06-19T09:09:45Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
The Role of the Technicians in the Digital Pathology Implementation. Searching Optimization
Alcaraz-Mateos, Eduardo; Morales Meseguer University Hospital, Pathology Department, Murcia, Spain
Tortosa-Martinez, I.; Morales Meseguer University Hospital (Technician), Pathology Department, Murcia, Spain
Alcolea-Guardiola, C.; Morales Meseguer University Hospital (Technician), Pathology Department, Murcia, Spain
Estevez-Ligero, S.; Morales Meseguer University Hospital (Technician), Pathology Department, Murcia, Spain
Abellan-Palazon, A.; Morales Meseguer University Hospital (Technician), Pathology Department, Murcia, Spain
Kundisova, A.; University of Bratislava, Faculty of Medicine, Bratislava, Slovakia
Nieto-Olivares, A.; Morales Meseguer University Hospital, Pathology Department, Murcia, Spain
Chaves-Benito, A.; Morales Meseguer University Hospital, Pathology Department, Murcia, Spain
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/180
Introduction/ BackgroundScanning histological or cytological preparations is a crucial element in the process of digitization of Pathology Departments, along with the traceability of tissue samples and the reports management. The scanning time and the high size of the files are still considered suboptimal for full implementation.AimsIn order to optimize time and space a comparative study in our center has been carried out.MethodsA total  of  25  endoscopic  samples  (5  esophageal,  5 gastric, 5 duodenal, 5 colonic inflammatory, and 5 colonic neoplastic) were selected with the intention of comparing different parameters (scanning time, error rate during scanning and hard disk storage) between the original histological glass slides (group A: 2 slides per case, 50 preparations) and new sections, with levels grouped into a single slide (group B: 1 slide per case, 25 preparations). They were scanned at 20x magnification in routine way using the Ventana iScan scanner Coreo (Roche diagnostics). The process was repeated 4 times to calculate averages.ResultsThe average scanning time was 5 hours 40 minutes (6m 48s / slide) in group A and 5 hours 10 minutes (12m 24s/slide) in group B. The error rate was higher than it had been found in previous studies (2-3%) with 6% errors in group A and 3,9% errors in group B. The space occupied on the hard disk was 11.87 GB in group A and 9.6 GB in group B (475 MB/case vs 385 MB/case, respectively). The average number of tissue sections per case was 7 in group A and 8 in group B. Conclusions: There is a clear benefit of standardizing and optimizing the number of cuts per slide in terms of storage (saving 19%), biopsy sampling (14% more tissue) and error rate (35% less), including a not negligible decrease in the scanning time (9%) in the study conducted.Â
oai:ojs2.localhost:article/196
2018-06-19T09:06:43Z
dpath:EP
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/196
2018-06-19T09:06:43Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Semi-Automatic And Automatic Ki-67 Index Examination In Whole Slide Images Of Meningiomas
Markiewicz, T.; Military Institute of Medicine, Department of Pathomorphology, Warsaw, Poland
Warsaw University of Technology, Warsaw, Poland
Swiderska-Chadaj, Z.; Warsaw University of Technology, Warsaw, Poland
Grala, B.; Military Institute of Medicine, Department of Pathomorphology, Warsaw, Poland
Lorent, M.; Military Institute of Medicine, Department of Pathomorphology, Warsaw, Poland
Kozlowski, W.; Military Institute of Medicine, Department of Pathomorphology, Warsaw, Poland
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/196
Introduction/ BackgroundHistological examination of tissue subjects by immunohistochemical staining is the basic method of recognizing types of cancer and it provides valuable indicators concerning choice of optimal therapy or defining the prognosis. One of a most important markers is the mitotic receptor Ki-67, among others, in meningiomas [1]. According to examination guidelines, ROI’s (Region of interest) whose fields correspond with the high positive receptors’ reaction should be selected.AimsThe aim of this paper is a compare of Ki-67 index examination in meningioma specimens performed on the whole slide images(WSI) in two ways: with selection of hot-spot regions by the experts, and with automatic se- lection of hot-spots. Using both ways we have analyzed variability of results between two experts and between the experts and the automatic procedure, also in respect of Ki-67 level. MethodsThe fifty cases of meningiomas were stained with the ready-to-use FLEX Ki-67 antigen (Dako, code IR626) in Dako Autostainer Link. Acquisition of WSIs was carried out by the 3DHistech Pannoramic 250 Flash II scanner under the 20x magnification of lens. The selection of hot-spots was done manually by two experts and automatically with the proposed method of automatic hot-spot detection. The suggested WSI processing scheme was based on the following steps:defining the map of specimen using the thresholding procedure and morphological filtering,eliminating the areas containing blood cells (hemorrhages) by the texture analysis (Unser features) and classification,eliminating the specinem folds by the texture analysis (Unser and Local Binary Patterns) and classification,selecting sequential fields of the hot-spots based on cells segmentation and the punishment function to avoid excessive proximity, and it is the extention of idea presented in paper [2]. The final analysis of Ki-67 index was performed on the full resolution images with the same procedure of image analysis. ResultsThe results indicated that the mean difference between the Ki-67 index of Expert A and Expert B was -0.6065% (SD ±1.27%). Comparison between the results of Automatic system and Expert A gives mean difference 0.5207% (SD 1.18%) whereas in relation to the Exert B, it was -0.0858% (SD 1.21%). No significant skewness was observed in any of Bland-Altman plots. The determination analysis gives R2 equals 0.947 (Expert A to Expert B), 0.947 (System to Expert A), and 0.944 (System to Expert B), all p<0.000001. The automatic procedure for the hot-spot detection in meningioma WSI gives the high concordance of results with the expert’s examinations. The differences between the automatic and both experts’ results are included in the range of variability of experts’ results. The presented results confirm that the proposed automatic procedure can be introduced to the multicenter verification process for practical applicability in histopathological diagnosis in the near future.This work has been supported by the National Centre for Research and Development (PBS2/ A9/21/2013 grant), Poland.Â
oai:ojs2.localhost:article/11
2018-06-19T09:07:29Z
dpath:RES
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/11
2018-06-19T09:07:29Z
Diagnostic Pathology
2015
Cytology ABCDE: A Practical ABCDE Algorithm for Cytology Diagnosis
Zioga, Christina; Theagenio Anticancer Hospital of Thessaloniki, Greece
Destouni, Chariklia; Theagenio Anticancer Hospital of Thessaloniki, Greece
2015-04-10 11:46:01
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/11
Pathology; diagnosis; cytology diagnosis; cytology algorithm; diagnosis report
None
en
AimsAn approach to the process of undertaking cytopathology diagnosis for medical students and those who operate with cytology specimens is presented.Material and MethodsThis simple mnemonic (ABCDE) can be used as a memory aid determining the order in which cells or tissue fragments should be evaluated. When receiving a slide for diagnosis and prior to examining it under the microscope we need to make sure that it is correctly labelled and prepared (Correct) and we also need to know or gather all available information concerning the patient (A, Available Information). Once under the microscope, we check the type of cells and the adequacy of specimen (B, Body & Being Adequate). Next, by taking into consideration the cellular morphology and potentially by performing ancillary studies we proceed to answer if the cells are neoplastic or not (C, Cancer). We then either form a differential diagnosis list or we end up with our final diagnosis (D, Differential diagnosis or Diagnosis), which is followed by the writing of the report (E, Exhibit).ResultsThese sequential steps (Correct ABCDE) followed as an ad hoc procedure by most pathologists, are important in order to achieve a complete and clear diagnosis and report, which is intended to support optimal clinical practice.ConclusionsThis ABCDE concept is a generic standard approach which is not limited to specific specimens and can help improve both cytopathology diagnoses and the quality of the final cytopathology reports.
oai:ojs2.localhost:article/217
2018-06-19T08:59:26Z
dpath:EP
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/217
2018-06-19T08:59:26Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Morphological Patterns of the Placenta Remodelling In Cases of IUGR at 20-25 Weeks of Gestation
Gorianikova, I.; Kharkiv National Medical University, Kharkiv, Ukraine
Kononenko, O.; GI ‘Lugansk State Medical University’, Lugansk, Ukraine
Teleshova, O.; GI ‘Lugansk State Medical University’, Lugansk, Ukraine
2016-10-03 21:34:09
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/217
en
Introduction/ Background
Placental insufficiency is an important factor of the fetal intrauterine growth restriction (IUGR).
Aims
To confirm the relation between placental morphology changes and fetal IUGR 20 placentas in cases of IUGR at 20-25 weeks of gestation (wg) were compared with 20 placentas at the same wg but without fetal IUGR .
Methods
Material was divided: 10 placentas at 20-22wg and 10 – at 23-25wg both in cases of IUGR, which were studied with corresponding 10 (20-22wg) and 10 (23-25wg) controls. Volume fractions (vf) of the major placental components were determined from 5mmk paraffin sections.
Results
The results have shown that both placental and fetal weights in IUGR groups were smaller than in controls. The poor vascularisation and immaturity of the villous tree were found in cases of IUGR. The thickness of placental membrane increased from 10.74±0.09 at 20-22wg and 10.92±0.09 at 23-25wg in controls to 11.62±0.1 and 11.87±0.12mmk, p
oai:ojs2.localhost:article/88
2018-06-19T09:01:44Z
dpath:DIA
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/88
2018-06-19T09:01:44Z
Diagnostic Pathology
2015
How do I diagnose Pagetoid Bowen Disease
Carvalho, Rita do EspÃrito Santo; Central Lisbon Hospital Center - Department of Pathology
2015-11-08 00:00:00
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/88
Paget Disease; elastotic degeneration; Skin; p63
en
Bowen disease is a variant of squamous carcinoma in situ, which sometimes presents with a pagetoid growth pattern with cytologically atypical clear cells. In that case, the differencial diagnosis includes Paget disease and melanoma in situ, as well as less common entities. Here we describe a case where histological differenciation is difficult and immunohistochemical studies are necessary to make a diagnosis. Here we also highlight the heterogeneity of CK7 expression and the apparent specific expression of p63 in Pagetoid Bowen Disease.
oai:ojs2.localhost:article/105
2018-06-19T10:13:36Z
dpath:INT
v2
http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/105
2018-06-19T10:13:36Z
Diagnostic Pathology
Vol 2 No 1 (2016): 2016
Contribution of Measurement to morphologic Diagnostics
Kayser, Klaus; Charite Berlin
Borkenfeld, Stephan
Carvalho, Rita
Kayser, Gian
2016-03-23 18:16:03
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/105
interactive publication ;Morphological diagnostics; epistemological; methodological; individual; communicative; economical and ethical limits
Verein zur Förderung des biologisch - technologischen Fortschritts in der Medizin e.V.
en
Interactive contribution:
Pathologists' diagnostics are based upon morphology, which means to distinguish between structure and function. Morphology is the evaluation of biological structures. These are ordered clusters of material (genes, nuclei, cells, organs, etc.) that remain constant during the period of detection and observation. The observation time is an important factor that defines biological structures and diagnostics too. The implementation of measurement - based diagnostic algorithms improves the accuracy and serves for quality assurance in tissue - based diagnosis.
oai:ojs2.localhost:article/252
2018-11-26T16:07:14Z
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Diagnostic Pathology
Vol 3 No 1 (2017): 2017
RE: Jürgen Görtler, Klaus Kayser, Stephan Borkenfeld, Rita Carvalho, Gian Kayser. Cognitive Algorithms and Digitized Tissue-based Diagnosis. Diagnostic Pathology 2017, 3:248
Montironi, MD, Rodolfo; University of Ancona - Ancona
Gasparrini, Silvia
Montironi, Maria Alessandra
Cimadamore, Alesia
Lopez-Beltran, Antonio
Cheng, Liang
Scarpelli, Marina
2017-10-18 16:56:58
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/252
Several algorithms can be used in “Cognitive Algorithms and Digitized Tissue-based Diagnosisâ€. As revised by Dr. Jürgen Görtler et al, these can be grouped can be grouped in ‘self learning’, self promoting’, ‘self targeting’, ‘self exploring’ and ‘self networking’ [1]. We agree with Dr. Jürgen Görtler and his group in identifying promising similarities in the methods developed for situation assessment and tactical decision making in self-driving cars and in those needed for automated diagnostics.
oai:ojs2.localhost:article/126
2018-06-19T09:15:48Z
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2018-06-19T09:15:48Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
An Integrated Framework For Histological Image Data Analytics
Homeyer, A.; Fraunhofer MEVIS, Bremen, Germany
Kost, H.; Fraunhofer MEVIS, Bremen, Germany
Hahn, H.; Fraunhofer MEVIS, Bremen, Germany
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/126
en
Introduction/ BackgroundAutomated image analysis enables the mining of rich information from digitized histological slides. A major challenge is the complexity and large size of the images. Whole-slide images contain a multitude of different structures, like sections, regions of different tissue types and the contained cells. To make sense of these struc- tures, often multiple analysis solutions must be com- bined. A common example is the initial identification of regions-of-interest and the subsequent evaluation of cellular structures with respect to these regions. AimsThere is no general standard for representing image analysis data. Different analysis solutions may represent analysis data as either XML or JSON documents, spread- sheets or images. When combining multiple analysis solutions, the inconsistent data representation makes it necessary to convert information between different formats and to match related entities. This complicates data analytics considerably. To overcome this problem, we describe an integrated framework for histological image data analytics. MethodsThe framework represents image analysis data in an open relational data model. Image regions and cel- lular structures are represented as individual entitieswith properties and mutual relations. The framework incorporates multiple image analysis solutions for identifying image regions or cellular structures with machine-learning methods. The solutions are executed sequentially and populate the data model with more and more information from the image. Every step can take advantage of data generated in previous steps in order to target image processing operations to specific regions, or in order to reuse previously computed image features. ResultsThe relational data model greatly simplifies data ana- lytics in histological images. Region-specific statistics about cellular structures, or heat-maps of their spatial distribution can simply be computed by database queries. Furthermore, the relational data model en- ables the efficient management of the huge amounts of data generated by histological image analysis. We demonstrate the generic applicability of the framework by three example applications for the region-specific analysis of nuclear positivity, steatosis and inflammation in whole-slide images.Â
oai:ojs2.localhost:article/273
2019-08-22T14:46:14Z
dpath:RES
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2019-08-22T14:46:14Z
Diagnostic Pathology
Vol 5 No 1 (2019): Vol. 5 No. 1 2019
Development of Standard Operating Procedure (SOP) of Micro-computed tomography (micro-CT) in Pathology
Teplov, Alexei; Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, United States
Tabata, Kazuhiro; 1. Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, 2. United States Department of Pathology, Nagasaki University Hospital. 1-7-1 Sakamoto, Nagasaki city, Nagasaki, 852-8501, Japan
Fu, Xiujun; Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, United States
Uraoka, Naohiro; Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, United States (2) Department of Pathology, Nagasaki University Hospital. 1-7-1 Sakamoto, Nagasaki city, Nagasaki, 852-8501, Japan
Roehrl, Michael H. A.; Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, United States
Ntiamoah, Peter; Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, United States
Humm, John L.; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, United States
Sirintrapun, Sahussapont J.; Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, United States
Murray, Melissa P.; Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, United States
Shia, Jinru; Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, United States
Travis, William D.; Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, United States
Brogi, Edi; Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, United States
Hameed, Meera; Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, United States
Yagi, Yukako; Memorial Sloan Kettering Cancer Center
2019-07-10 12:46:00
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/273
Backgroundand goal: Micro-computed tomography (micro-CT) is an emerging technology in the biomedical field and enables us to analyze 3D structures non-destructively and observe these structures in various directions, thus enabling innovation in this area of pathology. However, application of micro-CT for medicine has just started and optimization per purpose has not yet been done. The purpose of this study is to 1) demonstrate the potential utility of micro-CT in pathology; 2) optimize micro-CT imaging technology and develop a standard operating protocol and; 3) investigate whether micro-CT incurs any radiation damage to pathological tissue samples.Material and methods:The samples of fresh tissue, formalin fixed tissue and formalin fixed paraffin-embedded (FFPE) tissue blocks were scanned using a custom-built Nikon Metrology micro-CT system with a variety of parameters then evaluated with histology correlation in detail. Radiation damage to tissue samples was also evaluated. Through our study, we have established the scanning protocol and workflow for each type of sample. Results:For fresh/fixed tissue, the house made polystyrene foam container was most ideal and the scanning time for fresh tissue was six minutes at as shortest, in which it is possible to detect neoplastic lesions in the tissue. In case of FFPE blocks, 10 -17 hours scanned images
oai:ojs2.localhost:article/143
2018-06-19T09:27:28Z
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2018-06-19T09:27:28Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
Computational Topology Based Quantification Of Hepatocytes Nuclei In Lipopolysaccharide-Induced Liver Injury In Mice
Rojas Moraleda, Rodrigo; National Center for Tumor Diseases, Tumor Immunology, Heidelberg, Germany
Technical University Federico Santa MarÃa, Department of Informatics, Valparaiso, Chile
Xiong, W.; Heidelberg University, Institute for Theoretical Physics, Heidelberg, Germany
Valous, N.; National Center for Tumor Diseases, Tumor Immunology, Heidelberg, Germany
Salinas, L.; Technical University Federico Santa MarÃa, Department of Informatics, Valparaiso, Chile
Breitkopf-Heinlein, K.; Heidelberg University, Department of Medicine II, Faculty of Medicine at Mannheim, Mannheim, Germany
Dooley, S.; Heidelberg University, Department of Medicine II, Faculty of Medicine at Mannheim, Mannheim, Germany
Zoernig, I.; National Center for Tumor Diseases, Tumor Immunology, Heidelberg, Germany
Heermann, D. W.; Heidelberg University, Institute for Theoretical Physics, Heidelberg, Germany
Jäger, D.; National Center for Tumor Diseases, Tumor Immunology, Heidelberg, Germany
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/143
Introduction/ BackgroundAutomated high resolution scanning microscopes digitize large sets of histological samples and access the an anatomical features of cells and tissues from the mm range down to a resolution of .25mpp microns per pixel). The high quality of the scans allows for the collection of the quantitative morphotopological features of cells and tissues from different samples, which can be coupled to functional information through, e.g., concomitant immunostaining. The basis for robust and accurate quantification of structural and functional features is the segmentation of regions of interest (ROIs) which define different elements within the scans. Due to acquisition artifacts and the diversity and variance of possible tar- gets, the characterization and segmentation of ROIs in histological samples is difficult and challenging.In recent years, computational algebraic topology, a field of mathematics, has established a robust and versatile way to obtain qualitative information from data. The most fundamental qualitative description of an object is given by the study of its topology, how the object is connected, how many holes it has, and of what type. That allows characterizing data sets according to their structure, increasing our understanding of their properties. AimsWe propose a method for the robust segmentation of hepatocyte nuclei based on the principles of persistent homology, a tool of algebraic topology. We show the application of our technique in histopathological, whole slide images obtained from liver sections of lipopolysaccharide (LPS)-treated mice. The robustness is achieved by the introduction of persistent homology to characterize the hepatocyte nuclei. Its stability proves the usefulness of persistent homology; variations in the properties of the ROIs induce small changes in the resulting characterization. By means of this representation for the hepatocyte nuclei, the resulting segmentation is less sensitive to acquisition artifacts and natural variations of the images across batches of slides. MethodsThe sample space of this study consists of 856 cropped images of 616x616 pixels each, obtained from three specimens. Each image was fragmented into connected components at different scales. Persistent homology is used to study the inclusion relations between connected components. The outcome of such process is a persistence diagram that provides a low-dimensional projection of the image structure. From that representation, it is possible to use conventional statistical methods for segmenting hepatocyte nuclei. After the segmentation, we assess the performance in comparison to a gold standard segmentation validated by experts. ResultsThe computational topology approach proposed successfully detected hepatocyte cells under several natural variations. We evaluated on a per-pixel basis how the segmentation performs on: i) all nuclei in the images, ii) big round nuclei considered belonging to hepatocytes cells (accuracy 87.2%, recall 80.3%), and iii) nuclei regarded to non-parenchymal cells.Â
oai:ojs2.localhost:article/159
2018-06-19T09:10:31Z
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http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/159
2018-06-19T09:10:31Z
Diagnostic Pathology
Vol 1 No 8 (2016): 13. European Congress on Digital Pathology
An Integrated Environment For Tissue Morphometrics And Analytics
Qaiser, Talha; University of Warwick, Department of Computer Science, Coventry, United Kingdom
Sirinukunwattana, K.; University of Warwick, Department of Computer Science, Coventry, United Kingdom
Rajpoot, N.; University of Warwick, Department of Computer Science, Coventry, United Kingdom
Authors who publish with this journal agree to the following terms:1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).4. In case of virtual slide publication the authors agree to copy the article in a structural modified version to the journal's VS archive.
url:http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/159
Introduction/ BackgroundAttaining high reproducibility in cancer diagnosis is still one of the main challenges in modern pathology due to subjectivity [1] [2] [3]. An integrated framework to extract quantitative morphological features from histology images and perform analytics that can lead to the identification of outcome-related features will provide a more accurate and reproducible means to assess cancer [4] [5].AimsWe propose an integrated environment which enables analytics of whole-slide tissue morphometry for a selected cohort of cancer patients. The proposed integrated environment includes three main components (Fig 1): (1) core module comprising of visualization of WSIs at multiple magnification levels, enabling display of clinical and imaging data for multiple cases simultaneously, (2) analytical module contains an interactive tool for measuring dimensions of tissue componentsand interactive annotation module, and (3) analytics module applied to data from a selected subset of cases or all the cases using quantitative morphological measurements including those derived from automatic phenotyping of cells [6]. The proposed environment can be further extended by adding new analytical modules and it can directly bring the benefits of quantitative analysis into pathological practices, thereby increasing reproducibility of cancer diagnosis. Furthermore, it can facilitate the studies of prognostic models, in which morphometric features strongly correlated with the outcome of cancers can be identified and used as image-based markers.MethodsOur integrated environment for tissue analytics consists of core and analytical modules. The core module is a main portal to assess the already available imaging and clinical data, as well as analytical data which  comes  from  integrated  analytical  modules. These data are interconnected, allowing the users to query imaging data according to available variables in clinical and/or analytical data. It also enables the examination of the clinical and imaging data at the same time. We developed a WSI viewer for exploring the tissue components at different magnification levels by supporting multi-threaded architecture for decompressing the image regions. The state-of-the-art algorithm for automatic phenotyping of all cells in WSIs [6] is the analytic module that makes our interface different from other existing software. The algorithm is capable of identifying multiple classes of cells with high accuracy both in terms of quantitative and quantitative validation. This tool offers a fully automated analysis at the cell population level, in terms of the number and the spatial distribution of different cell types. This can, consequently reduce subjectivity and tediousness of the routine semiquantitative analyses performed by pathologists. This analytical tool is applicable to many prognostic applications such as identifying incidence of metastasis in sentinel lymph nodes, measuring the number of as well as locating tumor-infiltrating lymphocytes, etc.ResultsIn this study, we have presented a fully customizable interactive environment for tissue analytics, equipped with measuring, annotating, and automatically cell phenotyping tools. The proposed integrated environment has remarkable potential to assist researchers and pathologists to reduce the human errors (if any) in diagnosing cancers. Further, this environment can serve as a benchmark to develop other morphometric measuring tools.
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