Clinical-Grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning.

Journal: Gastroenterology
Published Date:

Abstract

BACKGROUND & AIMS: Microsatellite instability (MSI) and mismatch-repair deficiency (dMMR) in colorectal tumors are used to select treatment for patients. Deep learning can detect MSI and dMMR in tumor samples on routine histology slides faster and less expensively than molecular assays. However, clinical application of this technology requires high performance and multisite validation, which have not yet been performed.

Authors

  • Amelie Echle
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Heike Irmgard Grabsch
    Department of Pathology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht, The Netherlands; Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom.
  • Philip Quirke
    Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom.
  • Piet A van den Brandt
    Department of Epidemiology, Maastricht University Medical Center+, Maastricht, The Netherlands.
  • Nicholas P West
    Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom.
  • Gordon G A Hutchins
    Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom.
  • Lara R Heij
    Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany.
  • Xiuxiang Tan
    Visceral and Transplant Surgery, University Hospital Rheinisch-Westfälische Technische Hochschule Aachen, Aachen, Germany; NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands; Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany.
  • Susan D Richman
    Pathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom.
  • Jeremias Krause
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Elizabeth Alwers
    Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany.
  • Josien Jenniskens
    Department of Epidemiology, Maastricht University Medical Center+, Maastricht, The Netherlands.
  • Kelly Offermans
    Department of Epidemiology, Maastricht University Medical Center+, Maastricht, The Netherlands.
  • Richard Gray
    School of Nursing and Midwifery, La Trobe University, Victoria, Australia.
  • Hermann Brenner
    German Cancer Consortium (DKTK), Heidelberg, Germany.
  • Jenny Chang-Claude
    Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Christian Trautwein
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Alexander T Pearson
    Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL, USA.
  • Peter Boor
    Institute of Pathology, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.
  • Tom Luedde
    Division of Gastroenterology, Hepatology and Hepatobiliary Oncology, University Hospital RWTH Aachen, Aachen, Germany.
  • Nadine Therese Gaisa
    Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany.
  • Michael Hoffmeister
    Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Jakob Nikolas Kather
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.