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Predictors of false-positive results in men with Prostate Imaging–Reporting and Data System 4 lesions

  • Hee Youn Kim
  • , Seung Ju Lee
  • , Jung Hoon Kim
  • , Mahadevan Raj Rajasekaran
  • The Catholic University of Korea, St. Vincent's Hospital
  • Chung-Ang University
  • University of California at San Diego

Research output: Contribution to journalArticlepeer-review

Abstract

Background To identify predictive factors of false-positive results in men with Prostate Imaging–Reporting and Data System (PI-RADS) 4 lesions on multiparametric MRI and to evaluate potential factors for improving risk stratification in this high-risk category. Methods We retrospectively analyzed 811 men with PI-RADS 4 lesions who underwent prostate biopsy (November 2020–February 2025). Clinical data [age, PSA, PSA density (PSAD), prostate volume] and radiographic features {anatomical location [peripheral zone (PZ) vs. transitional zone (TZ)], multiplicity} were assessed. Multivariate logistic regression analysis identified independent predictors of false-positive results. Interaction between location and multiplicity was evaluated for zone-specific risk profiles. Results Of the 811 patients, 523 (64.5%) had benign pathology (false-positive). Independent predictors of false-positive results included younger age, lower PSAD, prior negative biopsy, and TZ location. TZ lesions had significantly higher odds of a false-positive result compared to PZ lesions (OR: 6.919, 95% CI: 4.440-10.781, P < 0.001). A divergent pattern was observed between location and multiplicity: in the PZ, multiplicity did not affect cancer risk, whereas in the TZ, multiple lesions showed a trend toward benign pathology ( P = 0.087), with the lowest predicted cancer probability (10.0%) in patients with multiple TZ lesions. Conclusion False-positive PI-RADS 4 assessments were associated with features characteristic of BPH, particularly TZ localization and lower PSAD. Current biopsy recommendations may be suboptimal for patients with these benign-favoring features. Incorporating lesion localization and volume-adjusted metrics into risk stratification could potentially reduce unnecessary biopsies.

Original languageEnglish
Pages (from-to)211-215
Number of pages5
JournalProstate International
Volume14
Issue number2
DOIs
StatePublished - Jun 2026

Bibliographical note

Publisher Copyright:
© 2026 The Asian Pacific Prostate Society.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Biopsy
  • Magnetic resonance imaging
  • Prostate cancer

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