External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection.

Journal: Academic radiology
Published Date: Apr 11, 2025

Abstract

PURPOSE: Prostate imaging reporting and data systems (PI-RADS) experiences considerable variability in inter-reader performance. Artificial Intelligence (AI) algorithms were suggested to provide comparable performance to PI-RADS for assessing prostate cancer (PCa) risk, albeit tested in highly selected cohorts. This study aimed to assess an AI algorithm for PCa detection in a clinical practice setting and simulate integration of the AI model with PI-RADS for assessment of indeterminate PI-RADS 3 lesions.

Authors

  • Mason J Belue
    Medical Research Scholars Program Fellow, Artificial Intelligence Resource, Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
  • Vaneeza Mukhtar
    Department of Urology, University of Arkansas for Medical Sciences, Little Rock, Arkansas (M.J.B., V.M., J.L.M., E.B., T.L., A.M.A.).
  • Roopa Ram
    Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas (R.R., J.J., S.B., S.S.).
  • Neriman Gokden
    Department of Pathology, University of Arkansas for Medical Sciences, Little Rock, Arkansas (N.G.).
  • Joe Jose
    Department of Paediatrics, St John's Medical College and Hospital, Bangalore, Karnataka, India.
  • Jackson L Massey
    Department of Urology, University of Arkansas for Medical Sciences, Little Rock, Arkansas (M.J.B., V.M., J.L.M., E.B., T.L., A.M.A.).
  • Emily Biben
    Department of Urology, University of Arkansas for Medical Sciences, Little Rock, Arkansas (M.J.B., V.M., J.L.M., E.B., T.L., A.M.A.).
  • Suryakala Buddha
    Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas (R.R., J.J., S.B., S.S.).
  • Timothy Langford
    Department of Urology, University of Arkansas for Medical Sciences, Little Rock, Arkansas (M.J.B., V.M., J.L.M., E.B., T.L., A.M.A.).
  • Sumit Shah
    Division of Medical Oncology, Stanford University Medical Center, Stanford, CA.
  • Stephanie A Harmon
    Clinical Research Directorate, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, Maryland, USA.
  • Baris Turkbey
    Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Ahmet Murat Aydin
    Department of Urology, University of Arkansas for Medical Sciences, Little Rock, Arkansas (M.J.B., V.M., J.L.M., E.B., T.L., A.M.A.). Electronic address: ahmetmurataydin@gmail.com.

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