Artificial Intelligence in Magnetic Resonance Imaging-based Prostate Cancer Diagnosis: Where Do We Stand in 2021?

Journal: European urology focus
Published Date: Mar 25, 2021

Abstract

CONTEXT: Men suspected of harboring prostate cancer (PCa) increasingly undergo multiparametric magnetic resonance imaging (mpMRI) and mpMRI-guided biopsy. The potential of mpMRI coupled to artificial intelligence (AI) methods to detect and classify PCa before decision-making requires investigation.

Authors

  • Rodrigo Suarez-Ibarrola
    Department of Urology, Faculty of Medicine, University of Freiburg-Medical Centre, Hugstetter Str. 55, 79106, Freiburg, Germany. rodrigo.suarez@uniklinik-freiburg.de.
  • August Sigle
    Department of Urology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
  • Martin Eklund
    Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. Electronic address: martin.eklund@ki.se.
  • Daniel Eberli
    Department of Urology University Hospital Zurich Zurich Switzerland.
  • Arkadiusz Miernik
    Department of Urology, Faculty of Medicine, University of Freiburg - Medical Centre, Freiburg im Breisgau, Germany.
  • Matthias Benndorf
    Department of Radiology, Faculty of Medicine, University of Freiburg Medical Centre, Freiburg, Germany.
  • Fabian Bamberg
    Department of Diagnostic and Interventional Radiology, University Medical Center Tübingen, Tübingen, Germany.
  • Christian Gratzke
    Department of Urology, LMU Munich, Munich, Germany. Electronic address: christian.gratzke@med.uni-muenchen.de.

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