Deep learning-based assessment of body composition and liver tumour burden for survival modelling in advanced colorectal cancer.

Journal: Journal of cachexia, sarcopenia and muscle
PMID: 36544260

Abstract

BACKGROUND: Personalized therapy planning remains a significant challenge in advanced colorectal cancer care, despite extensive research on prognostic and predictive markers. A strong correlation of sarcopenia or overall body composition and survival has been described. Here, we explore whether automated assessment of body composition and liver metastases from standard of care CT images can add to clinical parameters in personalized survival risk prognostication.

Authors

  • Julius Keyl
    Institute of AI in Medicine (IKIM), University Hospital Essen, Girardetstraße 2, 45131, Essen, Germany.
  • René Hosch
    Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Germany.
  • Aaron Berger
    Institute for Artificial Intelligence in Medicine, University Hospital Essen (AöR), Essen, Germany.
  • Oliver Ester
    Westphalia DataLab GmbH, Muenster, Germany.
  • Tobias Greiner
    Medical Faculty, University of Duisburg-Essen, Essen, Germany.
  • Simon Bogner
    Department of Medical Oncology, West German Cancer Center, University Hospital Essen (AöR), Essen, Germany.
  • Jürgen Treckmann
    Department of General, Visceral and Transplant Surgery, West German Cancer Center, University Hospital Essen (AöR), Essen, Germany.
  • Saskia Ting
    Institute of Pathology Essen, West German Cancer Center, University Hospital Essen (AöR), Essen, Germany.
  • Brigitte Schumacher
    Department of Gastroenterology, Elisabeth Hospital Essen, Essen, Germany.
  • David Albers
    Department of Biomedical Informatics, Columbia University, N.Y., USA.
  • Peter Markus
    Department of General Surgery and Traumatology, Elisabeth Hospital Essen, Essen, Germany.
  • Marcel Wiesweg
    Department of Medical Oncology, West German Cancer Center, University Hospital Essen (AöR), Essen, Germany.
  • Michael Forsting
    Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstraße 55, 45147, Essen, Germany.
  • Felix Nensa
    Institute for AI in Medicine (IKIM), University Hospital Essen, 45131 Essen, Germany.
  • Martin Schuler
    Department of Medical Oncology, West German Cancer Center, University Hospital Essen (AöR), Essen, Germany.
  • Stefan Kasper
    Department of Medical Oncology, West German Cancer Center, University Hospital Essen (AöR), Essen, Germany.
  • Jens Kleesiek
    AG Computational Radiology, Abteilung Radiologie, Deutsches Krebsforschungszentrum (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Deutschland. j.kleesiek@dkfz-heidelberg.de.

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