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

Bharat Jasani, Gudrun Bänfer, 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.

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.

Scientific paper

Liver metastases present with distinct histopathological growth patterns (HGPs), including the desmoplastic, pushing and replacement HGPs and two rarer HGPs. The HGPs are defined owing to the distinct interface between the cancer cells and the adjacent normal liver parenchyma that is present in each pattern and can be scored from standard haematoxylin-and-eosin-stained (H&E) tissue sections. The current study provides consensus guidelines for scoring these HGPs.

“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.