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Updated: Jul 2, 2026

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
Published on: March 21, 2025
Predictors of false-positive results in men with Prostate Imaging-Reporting and Data System 4 lesions
Hee Youn Kim1, Seung-Ju Lee1, Jung Hoon Kim2
1Department of Urology, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
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.
