Combining multimodal imaging and treatment features improves machine learning-based prognostic assessment in patients with glioblastoma multiforme.

Journal: Cancer medicine
Published Date:

Abstract

BACKGROUND: For Glioblastoma (GBM), various prognostic nomograms have been proposed. This study aims to evaluate machine learning models to predict patients' overall survival (OS) and progression-free survival (PFS) on the basis of clinical, pathological, semantic MRI-based, and FET-PET/CT-derived information. Finally, the value of adding treatment features was evaluated.

Authors

  • Jan C Peeken
    Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Straße 22, 81675 Munich, Germany; Deutsches Konsortium für Translationale Krebsforschung (DKTK), Partner Site Munich, Germany.
  • Tatyana Goldberg
    Allianz SE, Königinstr. 28, 80802 Munich, Germany.
  • Thomas Pyka
    Department of Nuclear Medicine, Klinikum rechts der Isar der Technischen Universität München (TUM), Munich, Germany.
  • Michael Bernhofer
    Department of Informatics & Center for Bioinformatics & Computational Biology - i12, Technische Universität München (TUM), Boltzmannstr. 3, Garching/Munich, 85748, Germany. Michael.Bernhofer@mytum.de.
  • Benedikt Wiestler
    Department of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Straße 22, 81675 Munich, Germany; Deutsches Konsortium für Translationale Krebsforschung (DKTK), Partner Site Munich, Germany.
  • Kerstin A Kessel
    Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Straße 22, 81675, Munich, Germany.
  • Pouya D Tafti
    Allianz SE, Königinstraße 28, 80802, Munich, Germany.
  • Fridtjof Nüsslin
    Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Straße 22, 81675 Munich, Germany. Electronic address: nuesslin@tum.de.
  • Andreas E Braun
    Allianz SE, Königinstraße 28, 80802, Munich, Germany.
  • Claus Zimmer
    Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675 Munich, Germany.
  • Burkhard Rost
  • Stephanie E Combs
    Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Straße 22, 81675 Munich, Germany; Institute of Innovative Radiotherapy (iRT), Department of Radiation Sciences (DRS), Helmholtz Zentrum München, Ingolstaedter Landstrasse 1, 85764 Neuherberg, Germany; Deutsches Konsortium für Translationale Krebsforschung (DKTK), Partner Site Munich, Germany.