Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer.

Journal: Cellular oncology (Dordrecht, Netherlands)
Published Date: Mar 1, 2019

Abstract

PURPOSE: Tumor-stroma ratio (TSR) serves as an independent prognostic factor in colorectal cancer and other solid malignancies. The recent introduction of digital pathology in routine tissue diagnostics holds opportunities for automated TSR analysis. We investigated the potential of computer-aided quantification of intratumoral stroma in rectal cancer whole-slide images.

Authors

  • Oscar G F Geessink
    Department of Pathology, Radboud Institute for Health Sciences, Radboud University Medical Center, P.O.Box 9101, 6500 HB, Nijmegen, The Netherlands.
  • Alexi Baidoshvili
    Laboratory for Pathology East Netherlands (LabPON), Hengelo, The Netherlands.
  • Joost M Klaase
    Department of Surgery, Medisch Spectrum Twente, Enschede, The Netherlands.
  • Babak Ehteshami Bejnordi
    Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.
  • Geert J S Litjens
    Department of Pathology, Radboud Institute for Health Sciences, Radboud University Medical Center, P.O.Box 9101, 6500 HB, Nijmegen, The Netherlands.
  • Gabi W van Pelt
    Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
  • Wilma E Mesker
    Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
  • Iris D Nagtegaal
    Department of Pathology, Radboud Institute for Health Sciences, Radboud University Medical Center, P.O.Box 9101, 6500 HB, Nijmegen, The Netherlands.
  • Francesco Ciompi
    Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands. Electronic address: francesco.ciompi@radboudumc.nl.
  • Jeroen A W M van der Laak
    Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.

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