Prostate MRI and artificial intelligence during active surveillance: should we jump on the bandwagon?

Journal: European radiology
Published Date: Jun 27, 2024

Abstract

OBJECTIVE: To review the components of past and present active surveillance (AS) protocols, provide an overview of the current studies employing artificial intelligence (AI) in AS of prostate cancer, discuss the current challenges of AI in AS, and offer recommendations for future research.

Authors

  • Vilma Bozgo
    Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Christian Roest
    Medical Imaging Center, Departments of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Meditech Building, Room 305, Hanzeplein 1, 9700 RB, Groningen, The Netherlands.
  • Inge van Oort
    Department of Urology, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Derya Yakar
    Department of Radiology, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. Electronic address: d.yakar@umcg.nl.
  • Henkjan Huisman
    Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Maarten de Rooij
    Department of Medical Imaging, Radboud university medical center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.

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