Machine learning-based comparison of transperineal vs. transrectal biopsy for prostate cancer diagnosis: evaluating procedural effectiveness.

Journal: The Canadian journal of urology
Published Date: Jun 27, 2025

Abstract

BACKGROUND: Transrectal (TR) and transperineal (TP) biopsies are commonly used methods for diagnosing prostate cancer. However, their comparative effectiveness in conjunction with machine learning (ML) techniques remains underexplored. This study aimed to evaluate the predictive accuracy of ML algorithms in detecting prostate cancer using data derived from TR and TP biopsies.

Authors

  • Mostafa Ahmed Arafa
    The Cancer Research Chair, Surgery Department, College of Medicine, King Saud University, Riyadh, 11472, Saudi Arabia.
  • Karim Hamda Farhat
    The Cancer Research Chair, Surgery Department, College of Medicine, King Saud University, Riyadh, 11472, Saudi Arabia.
  • Nesma Lotfy
  • Farrukh Kamel Khan
    The Cancer Research Chair, Surgery Department, College of Medicine, King Saud University, Riyadh, 11472, Saudi Arabia.
  • Alaa Mokhtar
    Department of Urology, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
  • Abdulaziz Mohammed Althunayan
    The Cancer Research Chair, Surgery Department, College of Medicine, King Saud University, Riyadh, 11472, Saudi Arabia.
  • Waleed Al-Taweel
    Department of Urology, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
  • Sultan Saud Al-Khateeb
    Department of Urology, King Faisal Specialist Hospital and Research Center, Riyadh, 11211, Saudi Arabia.
  • Sami Azhari
    College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
  • Danny Munther Rabah
    The Cancer Research Chair, Surgery Department, College of Medicine, King Saud University, Riyadh, 11472, Saudi Arabia.

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