Computed tomography radiomics for the prediction of thymic epithelial tumor histology, TNM stage and myasthenia gravis.

Journal: PloS one
PMID: 34928978

Abstract

OBJECTIVES: To evaluate CT-derived radiomics for machine learning-based classification of thymic epithelial tumor (TET) stage (TNM classification), histology (WHO classification) and the presence of myasthenia gravis (MG).

Authors

  • Christian Blüthgen
    1 Institut für Diagnostische und Interventionelle Radiologie, Universitätsspital Zürich.
  • Miriam Patella
    Department of Thoracic Surgery, University Hospital of Zurich, Zurich, Switzerland.
  • André Euler
    Institute of Diagnostic and Interventional Radiology, University Hospital of Zurich, Zurich, Switzerland.
  • Bettina Baeßler
    Department of Radiology, University Hospital of Cologne, Cologne, Germany.
  • Katharina Martini
    Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
  • Jochen von Spiczak
  • Didier Schneiter
    Department of Thoracic Surgery, University Hospital of Zurich, Zurich, Switzerland.
  • Isabelle Opitz
    Department of Thoracic Surgery, University Hospital of Zurich, Zurich, Switzerland.
  • Thomas Frauenfelder

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