Evidence map›Paper›PMID 42382556›Full record

ArticleProstate international2026

Risk stratification for repeat prostate biopsy: PI-RADS 3 lesions and the differential role of PSA density.

Jungkeun Song, Jungwon Park, Hyungwoo Ahn, Sung Il Hwang, Hak Jong Lee, Younsoo Chung, Hyung Joon Kim, Hakmin Lee, Jong Jin Oh, Sangchul Lee and 4 more

Abstract read
In one paragraph

Article in Prostate international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Jungkeun SongDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.
Jungwon ParkDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.
Hyungwoo AhnDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea.
Sung Il HwangDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea.
Hak Jong LeeDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea.
Younsoo ChungDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.
Hyung Joon KimDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.
Hakmin LeeDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.
Jong Jin OhDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.
Sangchul LeeDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.
Seong Jin JeongDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.
Seok-Soo ByunDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.
Sung Kyu HongDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.
Sang Hun SongDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: PI-RADS 3 lesions represent a diagnostic challenge in repeat prostate biopsy. We investigated whether PI-RADS 3 independently predicts negative biopsy outcomes and how PSA density (PSAD) modifies cancer detection across PI-RADS categories. Materials and methods: We retrospectively analyzed 684 patients who underwent repeat MRI-guided prostate biopsy between 2015 and 2022. PI-RADS scores, clinicopathologic variables, biopsy Gleason Scores, and radical prostatectomy findings were assessed. Univariate and multivariate logistic regression identified predictors of positive biopsy. Subgroup analysis examined detection rates stratified by PI-RADS and PSAD. Results: Overall, 238 patients (34.8 %) had positive biopsies. PI-RADS 3 was identified in 210 patients (30.7 %) and PI-RADS 4-5 in 274 (40.1 %). Cancer detection differed significantly: 19.0 % for PI-RADS 3 versus 51.8 % for PI-RADS 4-5 ( Conclusion: PI-RADS 3 lesions independently predict negative biopsy in repeat MRI-guided prostate biopsy. PSAD demonstrates differential predictive utility across PI-RADS categories. Risk-stratified management incorporating imaging and clinical biomarkers may optimize decision-making while minimizing unnecessary procedures.

Indexed as

mpMRIPIRADSProstate cancerRepeat biopsy

Identifiers

PMID42382556
PMCPMC13316509

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.