Does Machine Learning Prediction of Magnetic Resonance Imaging PI-RADS Correlate with Target Prostate Biopsy Results?

Journal: Medical principles and practice : international journal of the Kuwait University, Health Science Centre
Published Date: May 26, 2025

Abstract

OBJECTIVES: This study aimed to predict and classify MRI PI-RADs scores using different machine learning algorithms and to detect the concordance of PI-RADs scoring with the outcome target of prostate biopsy.

Authors

  • Mostafa A Arafa
    The Cancer Research Chair, Surgery Department, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
  • Karim H Farhat
    The Cancer Research Chair, Surgery Department, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
  • Nesma Lotfy
  • Farrukh K Khan
    The Cancer Research Chair, Surgery Department, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
  • Alaa Mokhtar
    Department of Urology, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
  • Abdulaziz M Althunayan
    The Cancer Research Chair, Surgery Department, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
  • Waleed Al-Taweel
    Department of Urology, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
  • Sultan S Al-Khateeb
    Department of Urology, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
  • Sami Azhari
    College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
  • Danny M Rabah
    The Cancer Research Chair, Surgery Department, College of Medicine, King Saud University, Riyadh, Saudi Arabia.

Keywords

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