Challenges in magnetic resonance imaging-based detection of clinically significant prostate cancer in young patients:

Tian-Bao Huang1,2,3, Rong-Jie Shi1, Jin-Wei Shang1

  • 1Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Abstract

Insights

Magnetic resonance imaging (MRI) has lower accuracy for detecting prostate cancer in younger men. Adjusting the Prostate Imaging Reporting and Data System (PI-RADS) score or using a predictive model improves diagnostic efficiency, reducing unnecessary biopsies.

Area of Science:

  • Urology
  • Radiology
  • Oncology

Background:

  • Prostate cancer screening using magnetic resonance imaging (MRI) is controversial, particularly regarding its efficacy in younger patients.
  • Studies indicate potentially suboptimal diagnostic performance of MRI in individuals under 55 years old.
  • This research investigates the diagnostic efficiency of MRI positivity (Prostate Imaging Reporting and Data System [PI-RADS] scores ≥3) in young men suspected of prostate cancer.

Purpose of the Study:

  • To evaluate the diagnostic efficiency of MRI positivity in young patients (≤55 years) suspected of prostate cancer.
  • To assess the impact of adjusting the PI-RADS score cutoff (≥4 vs. ≥3) on diagnostic performance in young vs. older patients.
  • To evaluate a proposed integrated model incorporating PI-RADS score, prostate-specific antigen density, and chief complaint for predicting clinically significant prostate cancer in young men.

Main Methods:

  • Retrospective analysis of 2,599 patients (207 young) who underwent trans-perineal prostate biopsy.
  • Comparison of categorical and continuous variables using chi-square/Fisher exact and Mann-Whitney tests, respectively.
  • Multivariate logistic regression and nomogram construction to identify independent risk factors and predict cancer probability.

Main Results:

  • MRI positivity had a significantly lower positive predictive value in young patients (33.9%) compared to older patients (61.5%).
  • Using a PI-RADS score ≥4 improved specificity and positive predictive value in young patients, with comparable sensitivity and negative predictive value to older patients.
  • Prostate-specific antigen density, chief complaint, and PI-RADS score were independent risk factors in young patients; an integrated model achieved an area under the curve of 0.875.

Conclusions:

  • The positive rate of MRI for clinically significant prostate cancer is age-dependent, decreasing in younger individuals.
  • Adjusting the PI-RADS cutoff and utilizing an integrated predictive model can minimize unnecessary biopsies in young patients.
  • Further large-scale prospective studies are needed to validate these findings.