Fully volumetric body composition analysis for prognostic overall survival stratification in melanoma patients.

Journal: Journal of translational medicine
Published Date:

Abstract

BACKGROUND: Accurate assessment of expected survival in melanoma patients is crucial for treatment decisions. This study explores deep learning-based body composition analysis to predict overall survival (OS) using baseline Computed Tomography (CT) scans and identify fully volumetric, prognostic body composition features.

Authors

  • Katarzyna Borys
    Institute for Artificial Intelligence in Medicine, University Hospital Essen, Girardetstraße 2, 45131 Essen, Germany; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstraße 55, 45147 Essen, Germany. Electronic address: Katarzyna.Borys@uk-essen.de.
  • Georg Lodde
    Department of Dermatology, University Hospital Essen, 45147 Essen, Germany.
  • Elisabeth Livingstone
    Department of Dermatology, University Hospital Essen, 45147 Essen, Germany.
  • Carsten Weishaupt
    Department of Dermatology, University Hospital Münster, Münster, Germany.
  • Christian Römer
    Department for Computer Science, Technische Universität Dortmund, Germany.
  • Marc-David Künnemann
    Clinic for Radiology, University Hospital Münster, Münster, Germany.
  • Anne Helfen
    Clinic for Radiology, University Hospital Münster, Münster, Germany.
  • Lisa Zimmer
    Institute of Dermatology, University Hospital Essen, Essen, Germany.
  • Wolfgang Galetzka
    Institute of Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
  • Johannes Haubold
    Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstraße 55, 45147, Essen, Germany. Johannes.haubold@uk-essen.de.
  • Christoph M Friedrich
    Department of Computer Science, University of Applied Sciences and Arts Dortmund, Dortmund, Germany.
  • Lale Umutlu
    Institute of Diagnostic and Interventional Radiology and Neuroradiology, Departments of.
  • Walter Heindel
    Department of Clinical Radiology, University of Muenster, Muenster, Germany.
  • Dirk Schadendorf
    Department of Dermatology, University Hospital Essen, 45147 Essen, Germany.
  • René Hosch
    Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Germany.
  • Felix Nensa
    Institute for AI in Medicine (IKIM), University Hospital Essen, 45131 Essen, Germany.