Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective study.

Journal: Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
Published Date:

Abstract

INTRODUCTION: The Laurén classification is widely used for Gastric Cancer (GC) histology subtyping. However, this classification is prone to interobserver variability and its prognostic value remains controversial. Deep Learning (DL)-based assessment of hematoxylin and eosin (H&E) stained slides is a potentially useful tool to provide an additional layer of clinically relevant information, but has not been systematically assessed in GC.

Authors

  • Gregory Patrick Veldhuizen
    Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany.
  • Christoph Röcken
    Department of Pathology, Christian-Albrechts University, Kiel, Germany.
  • Hans-Michael Behrens
    Department of Pathology, Christian-Albrechts University, Kiel, Germany.
  • Didem Cifci
    Department of Medicine III, University Hospital RWTH Aachen, Pauwelsstrasse 30, 52074, Aachen, Germany.
  • Hannah Sophie Muti
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Takaki Yoshikawa
  • Tomio Arai
    Department of Pathology, Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan.
  • Takashi Oshima
  • Patrick Tan
    Duke-NUS Medical School, National University of Singapore, Singapore.
  • Matthias P Ebert
    Department of Medicine II, Mannheim Institute for Innate Immunoscience and Clinical Cooperation Unit Healthy Metabolism, Center of Preventive Medicine and Digital Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
  • Alexander T Pearson
    Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL, USA.
  • Julien Calderaro
    Department of Pathology, Henri Mondor University Hospital, Créteil, France.
  • Heike I Grabsch
    Department of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, Netherlands.
  • Jakob Nikolas Kather
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.