Radiomics allows for detection of benign and malignant histopathology in patients with metastatic testicular germ cell tumors prior to post-chemotherapy retroperitoneal lymph node dissection.

Journal: European radiology
PMID: 31828413

Abstract

OBJECTIVES: To evaluate whether a computed tomography (CT) radiomics-based machine learning classifier can predict histopathology of lymph nodes (LNs) after post-chemotherapy LN dissection (pcRPLND) in patients with metastatic non-seminomatous testicular germ cell tumors (NSTGCTs).

Authors

  • Bettina Baeßler
    Department of Radiology, University Hospital of Cologne, Cologne, Germany.
  • Tim Nestler
    Department of Urology, University Hospital of Cologne, Cologne, Germany.
  • Daniel Pinto Dos Santos
    Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany.
  • Pia Paffenholz
    Department of Urology, University Hospital of Cologne, Cologne, Germany.
  • Vikram Zeuch
    Department of Urology, University Hospital of Aachen, Aachen, Germany.
  • David Pfister
    Department of Urology, University Hospital of Cologne, Cologne, Germany.
  • David Maintz
    Institute for Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany.
  • Axel Heidenreich
    Faculty of Medicine and University Hospital Cologne, Department of Urology, University of Cologne, Cologne, Germany.

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