2017 WORKSHOP

Image Analysis Vendor Challenge

Abstract

Objective and accurate biomarker assessment is a critical part of many clinical trials. Also, there is an increasing use of such biomarkers for personalized medicine in clinical settings. An example is PD-L1 immunohistochemical staining of tissue sections. The combination of whole slide imaging and image analysis software has been shown to be a powerful means to quantify expression of these markers. Currently there are a number of commercial software solutions available for this, each with its own benefits. This workshop will challenge three vendors who offer state-of-the-art solutions (Indica Labs, Leica Biosystems and Visiopharm) to showcase their software in a collegial and non-competitive way. Their assignment in the workshop is to demonstrate to the audience how their product would help a client (e.g. a researcher) make an algorithm with their software (or toolkit) to analyze PD-L1 immunohistochemical staining of tissue sections. The aim of this workshop is to highlight possibilities and address potential limitations of image analysis, especially with regard to PD-L1. After the vendor presentations there will be ample time for Q&A.

Objectives

  1. Demonstrate the capability and ‘ease of use’ of image analysis to evaluate emerging biomarkers
  2. Showcase different vendor solutions available to build a research image algorithm
  3. Illustrate the quantitative image analysis of PD-L1 immunohistochemical staining

Vendors
Indica Labs
Leica Biosystems
Visiopharm

Moderators


Liron Pantanowitz, MD

Director of Pathology Informatics
University of Pittsburgh Medical Center


Dr. Liron Pantanowitz is a Professor of Pathology and of Biomedical Informatics at the University of Pittsburgh. He is the Director of the Pathology Informatics Division and Director of the Pathology Informatics Fellowship at the University of Pittsburgh Medical Center (UPMC). He is also the Director of the Cytopathology Division at UPMC Shadyside. Dr. Pantanowitz is an Editor-in-Chief of the Journal of Pathology Informatics. He is a member of the board of directors for the Digital Pathology Association (DPA), executive board of the American Society of Cytopathology (ASC), serves as a council member for the Association for Pathology Informatics (API) and is a member of the College of American Pathologists (CAP) Digital Pathology committee. He is widely published in the field of pathology informatics including digital imaging and its application to pathology.


Jeroen van der Laak, PhD

Senior Researcher and Group Leader
Radboud University Medical Center, Nijmegen, The Netherlands

Jeroen van der Laak is senior researcher and group leader at the department of Pathology of the Radboud University Medical Center. He leads a research group in digital pathology, which is part of the diagnostic image analysis group (DIAG) of the Radboud UMC Radiology department. Research focusses on several aspects of digital pathology: efficiency improvement of current diagnostic practice by using computer aided diagnosis algorithms; objective quantification of immunohistochemical markers; and computational pathology where new imaging biomarkers are researched. The group specializes in development and validation of deep learning algorithms and is internationally among the leading research groups in this exiting field. Jeroen has an MSc in computer science and acquired his PhD from the Radboud University in Nijmegen. He co-authored over 80 peer-reviewed publications, is member of the editorial board of the Journal of Pathology Informatics and organizer of sessions at the European Congress of Pathology and Pathology Visions. In 2016, Jeroen coordinated the highly successful Camelyon16 grand challenge. Jeroen acquired research grants from the European Union and the Dutch Cancer Society, among others.

 

 


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