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Predictors of false-positive results in men with Prostate Imaging–Reporting and Data System 4 lesions
- Kim, Hee Youn;
- Lee, Seung-Ju;
- Kim, Jung Hoon;
- Rajasekaran, Mahadevan Raj
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0초록
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.
키워드
- 제목
- Predictors of false-positive results in men with Prostate Imaging–Reporting and Data System 4 lesions
- 저자
- Kim, Hee Youn; Lee, Seung-Ju; Kim, Jung Hoon; Rajasekaran, Mahadevan Raj
- 발행일
- 2026-06
- 유형
- Article
- 권
- 14
- 호
- 2
- 페이지
- 211 ~ 215
- 언어
- ENG
- 출판사
- Elsevier B.V.
- 발행국가
- 미국
- 분량
- 5 페이지
- ISSN
- E 2287-903X
P 2287-8882