Diagnostic Utility of Artificial Intelligence-assisted Transperineal Biopsy Planning in Prostate Cancer Suspected Men: A Prospective Cohort Study.

Journal: European urology focus
Published Date: Apr 29, 2024

Abstract

BACKGROUND AND OBJECTIVE: Accurate magnetic resonance imaging (MRI) reporting is essential for transperineal prostate biopsy (TPB) planning. Although approved computer-aided diagnosis (CAD) tools may assist urologists in this task, evidence of improved clinically significant prostate cancer (csPCa) detection is lacking. Therefore, we aimed to document the diagnostic utility of using Prostate Imaging Reporting and Data System (PI-RADS) and CAD for biopsy planning compared with PI-RADS alone.

Authors

  • Karsten Guenzel
    Department of Urology, Vivantes Klinikum Am Urban, Berlin, Germany; Prostate-Diagnostic-Centre Berlin, PDZB, Berlin, Germany; Department of Urology, Faculty of Health Sciences Brandenburg, Brandenburg Medical School Theodor Fontane, Neuruppin, Germany. Electronic address: Karsten.guenzel@PDZB.de.
  • Georg Lukas Baumgaertner
    Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Anwar R Padhani
    From the Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Rickmansworth Road, Northwood, Middlesex HA6 2RN, England (A.R.P.); and Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Md (B.T.).
  • Johannes Luckau
    Department of Urology, Vivantes Klinikum Am Urban, Berlin, Germany.
  • Uwe Carsten Lock
    Prostate-Diagnostic-Centre Berlin, PDZB, Berlin, Germany.
  • Tomasz Ozimek
    Department of Urology, Vivantes Klinikum Am Urban, Berlin, Germany.
  • Stefan Heinrich
    Department of General, Visceral, and Transplantation Surgery, University Hospital of Mainz, Germany.
  • Jakob Schlegel
    Department of Urology, Vivantes Klinikum Am Urban, Berlin, Germany.
  • Jonas Busch
    Department of Urology, Vivantes Klinikum Am Urban, Berlin, Germany.
  • Ahmed Magheli
    Department of Urology, Vivantes Klinikum Am Urban, Berlin, Germany.
  • Julian Struck
    Department of Urology, Faculty of Health Sciences Brandenburg, Brandenburg Medical School Theodor Fontane, Neuruppin, Germany.
  • Hendrik Borgmann
    Department of Urology and Pediatric Urology, University Clinic Mainz, Mainz, Germany.
  • Tobias Penzkofer
    Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Bernd Hamm
    Department of Diagnostic and Interventional Radiology, Charité -Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
  • Stefan Hinz
    Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, Kaiserstr. 12, 76131 Karlsruhe, Germany. stefan.hinz@kit.edu.
  • Charlie Alexander Hamm
    Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany; Berlin Institute of Health (BIH), Berlin, Germany.

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