Publications

Claudin-18.2 Immunohistochemical Evaluation in Gastric and Gastroesophageal Junction Adenocarcinomas to Direct Targeted Therapy: A Practical Approach

Matteo Fassan, Takeshi Kuwata, Kristina A. Matkowskyj, Christoph Röcken,
Josef RĂŒschoff

For this study, they used the Pathomation viewer for slide analysis, focusing on the guidelines for evaluating Claudin-18.2 immunohistochemical staining without detailing software or equipment.

The study discusses the evaluation of Claudin-18.2 immunohistochemical staining in gastric and gastroesophageal junction adenocarcinomas to guide targeted therapy. It emphasizes the importance of accurate biomarker evaluation in precision oncology, particularly in the context of limited biopsy material. The authors provide detailed guidelines on tissue preparation, staining procedures, and interpretation of results, highlighting the need for careful assessment to avoid artifacts that could lead to false results. The study also underscores the collaborative efforts of pathologists in optimizing patient selection for therapies like zolbetuximab.

 

Evaluation of an online training tool for scoring programmed cell death ligand-1 (PD-L1) diagnostic tests for lung cancer

Bharat Jasani, Gudrun BĂ€nfer, Rebecca Fish, Wim Waelput, Yves Sucaet, Craig Barker, Jessica L Whiteley, Jill Walker, Rudy Hovelinck, Rolf Diezko

Numerous studies indicate that higher tumour programmed cell death ligand-1 (PD-L1) expression is associated with greater response to anti-programmed cell death-1 (PD-1)/PD-L1 immunotherapy in non-small cell lung cancer (NSCLC). 

Use of Pathomation’s web-based training tool incorporated into classroom-style training was associated with an overall moderately good level of inter-reader reproducibility at key cut-offs for TC PD-L1 expression testing in NSCLC. Overall, the online training tool offers a means of standardised training for practising pathologists in a clinical setting.

Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists

Wouter Bulten, Maschenka Balkenhol, Jean-JoĂ«l Awoumou Belinga, AmĂ©rico Brilhante, Aslı Çakır, Lars Egevad, Martin Eklund, Xavier FarrĂ©, Katerina Geronatsiou, Vincent MoliniĂ©, Guilherme Pereira, Paromita Roy, GĂŒnter Saile, Paulo Salles, Ewout Schaafsma, JoĂ«lle Tschui, Anne-Marie Vos, ISUP Pathology Imagebase Expert Panel, Hester van Boven, Robert Vink, Jeroen van der Laak, Christina Hulsbergen-van der Kaa, Geert Litjens

The pathologists utilized the Pathomation viewer software to assess the biopsies’ grading.

The study explores the impact of integrating artificial intelligence (AI) systems with pathologists’ expertise in Gleason grading of prostate biopsies. It highlights that while AI systems can achieve high performance in grading tasks, their effectiveness within the pathologist’s workflow is still being evaluated. Challenges such as artifacts and rare cancer subtypes can affect AI system assessments, but combining expert opinions with AI feedback can enhance diagnostic accuracy.

The experiment involved pathologists grading biopsies with and without AI assistance, showing that AI significantly improved grading consistency and performance. The study suggests that AI assistance can enhance Gleason grading accuracy and consistency among pathologists, potentially improving prostate cancer diagnosis and patient outcomes.

 

Two Instrument Comparison of Reagents From a US FDA-Approved Assay for the Assessment of Ki-67 in High-Risk Early Breast Cancer

Miglena Komforti, DO,* Erinn Downs-Kelly, DO,* Francisco Sapunar, MD,†  Sameera R. Wijayawardana, PhD,‡Aaron M. Gruver, MD, PhD,§ and Sunil S. Badve, MD∄

The objective of this study was to measure concordance of results obtained from the US Food and Drug Administration–approved Ki-67 immunohistochemistry MIB-1 pharmDx assay performed on the Dako Omnis automated staining instrument (Omnis) versus results produced from the assay reagents applied using an optimized protocol on the more widely available Autostainer Link 48 (ASL48) platform. Evaluations were performed utilizing whole-slide images captured using a PANNORAMIC 250 scanner (3DHISTECH, Budapest, Hungary) at ×40 magniïŹcation and analysed utilizing the PathoTrainer platform.

Toxicologic Pathology Forum: A Roadmap for Building State-of-the-Art Digital Image Data Resources for Toxicologic Pathology in the Pharmaceutical Industry

Xing-Yue Ge, Juergen Funk, Tom Albrecht, Merima Birkhimer, Moritz Gilsdorf, Matthew Hayes, Fangyao Hu, Pierre Maliver, Mark McCreary, Trung Nguyen, Fernando Romero-Palomo, Shanon Seger, Reina N. Fuji, Vanessa Schumacher, Ruth Sullivan

Digitization of histologic slides brings with it the promise of enhanced toxicologic pathology practice through the increased application of computational methods. 

This opinion piece describes the collective experience of building resources for WSI data in the Roche group and elaborates on the challenges encountered and solutions developed with the goal of providing examples of how to build a data resource for digital pathology analytics in the pharmaceutical industry.

The process of building robust image data resources is challenging and includes considerations of generation, curation, and storage of WSI files, and WSI access including via linked metadata.

The new HER2 low classification necesssitated retraining of pathologists and assess the accuracy  with a proficiciency test

Proficiency Assessment of HER2-Low Breast Cancer Scoring With the Ventana PATHWAY 4B5 and Dako HercepTest HER2 Assays and the Impact of Pathologist Training

Josef RĂŒschoff, Alexander Penner,Ian O. Ellis, Elizabeth Hale Hammond, Annette Lebeau, Robert Y. Osamura, FrĂ©derique Penault-Llorca, Federico Rojo, Neil Atkey, Andreas H. Scheel, Corrado DÂŽArrigo, Hans-Ulrich Schildhaus, Akira Moh, Chirag Desai, Giuseppe Viale

This study used the Pathotrainer software to compare Pathologists concordance on HER2 low scoring.

A Novel Automatic Digital Algorithm that Accurately Quantifies Steatosis in NAFLD on Histopathological Whole-Slide Images

Isabelle D Munsterman, Merijn van Erp, Gert Weijers, Carolien Bronkhorst, Chris L de Korte, Joost P H Drenth, Jeroen A W M van der Laak, Eric T T L Tjwa

This paper is an illustration of how PMA.start can be used in a research setting

We developed a digital automated quantification of steatosis on whole-slide images (WSIs) of liver tissue and performed a validation study. Hematoxylin-eosin stained liver tissue slides were digitally scanned, and steatotic areas were manually annotated. We identified thresholds for size and roundness parameters by logistic regression to discriminate steatosis from surrounding liver tissue. The resulting algorithm produces a steatosis proportionate area (SPA; ratio of steatotic area to total tissue area described as percentage). The software can be implemented as a Java plug-in in FIJI, in which digital WSI can be processed automatically using the Pathomation extension.

International consensus guidelines for scoring the histopathological growth patterns of liver metastasis.

Pieter-Jan van Dam, Eric P van der Stok, Laure-Anne Teuwen, Gert G Van den Eynden, Martin Illemann, Sophia Frentzas, Ali W Majeed, Rikke L Eefsen, Robert RJ Coebergh van den Braak, Anthoula Lazaris, Maria Celia Fernandez, Boris Galjart, Ole Didrik Laerum, Roni Rayes, Dirk J Grunhagen, Michelle Van de paer, Yves Sucaet, Hardeep Singh Mudhar, Michael Schvimer, Hanna Nystro, Mark Kockx, Nigel C Bird, Fernando Vidal-Vanaclocha, Peter Metrakos, Eve Simoneau, Cornelis Verhoef, Luc Y Dirix, Steven Van Laere, Zu-hua Gao, Pnina Brodt, Andrew R Reynolds and Peter B Vermeulen
 
Pathomation’s viewing software was used for the assessment and scoring of histopathological growth patterns (HGPs) of liver metastases.
 
This publication outlines international guidelines for scoring histopathological growth patterns (HGPs) of liver metastasis, focusing on desmoplastic, pushing, and replacement types. Developed and validated by an international team, these guidelines showed strong scoring agreement.
 
Desmoplastic HGPs correlate with better survival after liver metastasis surgery compared to other types. The guidelines aim to standardize HGP scoring for better prognosis and personalized treatment, noting desmoplastic HGPs respond better to therapies like bevacizumab due to their angiogenesis reliance. Highlighting HGPs’ role in predicting outcomes and guiding treatment, promoting their use as biomarkers in personalized medicine, and enhancing assessment reliability for tailored liver metastasis treatments.

“Chapter 1: Introduction” In: Digital Pathology – the Definitive, Complete Reference of Digital Pathology

Liron Pantanowitz, Yves Sucaet, Anil Parwani

An extraordinarily comprehensive and complete book for individuals with anything from minimal knowledge to deep, accomplished experience in Digital Pathology.

 

Implementing digital pathology for biobanking

Yves Sucaet

The flexibility of digital pathology hardware and software solutions allows institutions, such as the Brussels Free University, to create bespoke solutions to meet individual biobanking needs

See also our SlideShare presentation

Biobanken gaan digitaal aan de Vrije Universiteit Brussel

Yves Sucaet

Biobanken worden beschouwd als essentieel voor de bevordering van onderzoek en ontwikkeling in de levenswetenschappen. Translationeel biomedisch onderzoek is gebaseerd op grote verzamelingen hoogwaardige proefstukken gecombineerd met grote sets van goed gedocumenteerde gegevens van  patiënten en controles. Dergelijke collecties zijn van het allergrootste belang in wetenschappelijke proeven, zowel aangestuurd door onderzoekers als door bedrijven.

Dag microscoop, hallo beeldscherm!

Jacko Duker , Yves Sucaet

Nederland is koploper inzake digitalisatie van medische beeldvormende data. Eigen bedrijven zoals Philips staan hier zelfs wereldwijd om bekend. In dit artikel nemen we u mee naar de pathologie om te zien hoe de opgedane ervaring met digitale technieken het landschap hier in hoog tempo gaat veranderen.

Digital Pathology

Y.Sucaet, W.Waelput

Book published as part of the series: SpringerBriefs in Computer Science

Digital pathology has experienced exponential growth, in terms of its technology and applications, since its inception just over a decade ago. Though it has yet to be approved for primary diagnostics, its values as a teaching tool, facilitator of second opinions and quality assurance reviews, and research are becoming, if not already, undeniable. It also offers the hope of providing pathology consultant and educational services to underserved areas, including regions of the world that could not possibly sustain this level of services otherwise. And this is just the beginning, as its adoption by the also rapidlyemerging fields of medical systems biology and 3D tissue imaging indicate.

This work describes how digital pathology not only has the potential to dramatically impact medical education and the delivery of health care, but also to exert an immensely positive influence worldwide, including in countries and regions that normally fail to benefit from such technological advances.