ArticleBMC urology2025
To biopsy or not biopsy, that is the question - PI-RADS 3 prostate lesions - validation of clinical and radiological parameters for biopsy decision-making.
Article in BMC urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Value of PSA density in PI-RADS 3 lesions: a single-center retrospective observational study.International urology and nephrology · 2026Observational
- Stratified Analysis of Patients Within the PSA Gray Zone (4-10 ng/mL) and Its Clinical Application Value: Development of a Predictive Model for Clinically Significant Prostate Cancer Using Quantitative Indicators of PSA, ADC, and Relative T2 Value.Diagnostics (Basel, Switzerland) · 2026Article
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- Clinical significance of MRI PI-RADS 3 lesions upgraded by dynamic contrast enhancement: the "PI-RADS 3 + 1" subgroup.International urology and nephrology · 2026Article
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- Beyond Total PSA: Clinical Significance of S2,3PSA% in Reducing Unnecessary Prostate Biopsies.International journal of urology : official journal of the Japanese Urological Association · 2026Review
- Development and internal validation of a parsimonious logistic regression model integrating multiparametric clinical indicators for predicting prostate cancer in the PI-RADS 3 cohort.Frontiers in oncology · 2026Article
- Using Artificial Intelligence as a Risk Prediction Model in Patients with Equivocal Multiparametric Prostate MRI Findings.Cancers · 2025Review
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Authors and funding
10 authors.
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Abstract
objectivesMultiparametric MRI (mpMRI) enhances prostate cancer (PCa) detection, especially when combined with targeted or MRI–ultrasound fusion biopsy. However, PI-RADS 3 lesions remain diagnostically indeterminate, with variable malignancy risk and heterogeneous clinical management. This study aims to identify clinical and radiological predictors of PCa and clinically significant PCa (csPCa) in patients with PI-RADS 3 lesions in order to enhance risk stratification. By disentangling patient- and disease-specific characteristics from imaging findings, the study evaluates their independent prognostic value. The primary objective is to validate non-imaging parameters as reliable tools for risk stratification in indeterminate cases, thereby supporting clinical decision-making when radiological assessment alone is inconclusive. PATIENTS AND
methodsIn this retrospective cohort study, 671 patients with 981 PI-RADS 3 lesions underwent mpMRI and MRI–ultrasound fusion-guided transrectal biopsy, including both targeted and systematic cores. Histopathological evaluation was based on ISUP grading. Logistic regression models were used to assess associations between clinical/radiological factors and biopsy outcomes.
resultsOverall cancer detection per lesion was 36.9%, with csPCa detected in 15.8% of lesions and 42.8% of positive biopsies. PSA density emerged as the strongest predictor of both PCa and csPCa, while prostate volume was inversely associated. csPCa was more commonly found in patients undergoing primary biopsy and those with posterior lesion localization. In selected low-risk groups, csPCa detection was rare, suggesting potential to avoid unnecessary biopsies, with specificity reaching up to 90%.
conclusionsOverlapping benign conditions and interobserver variability contribute to uncertainty in the interpretation of PI-RADS 3 lesions with regard to the indication for biopsy. PSA density and clinical context support risk-adapted decision-making, aligning with current guideline recommendations. A personalized approach is recommended to balance the risks of under- and overdiagnosis in managing PI-RADS 3 lesions.
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