Evidence map›Paper›PMID 41176591›Full record

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.

Toni Franz, Tom Sicker, Julian Lueke, Benny Dinh, Thi Phuc Ho, Theodoros Spinos, Lars-Christian Horn, Alexander Schaudinn, Evangelos Liatsikos, Jens-Uwe Stolzenburg

Abstract readValidation Study
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

9 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
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  6. Article
  7. Beyond Total PSA: Clinical Significance of S2,3PSA% in Reducing Unnecessary Prostate Biopsies.International journal of urology : official journal of the Japanese Urological Association · 2026
    Review
  8. Article
  9. Review
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

10 authors.

Toni Franz *Department of Urology, University of Leipzig, Liebigstraße 20a, Leipzig, 04103, Germany. Toni.Franz@medizin.uni-leipzig.de.
Tom Sicker *Department of Urology, University of Leipzig, Liebigstraße 20a, Leipzig, 04103, Germany.
Julian LuekeDepartment of Urology, University of Leipzig, Liebigstraße 20a, Leipzig, 04103, Germany.
Benny DinhDepartment of Urology, University of Leipzig, Liebigstraße 20a, Leipzig, 04103, Germany.
Thi Phuc HoDepartment of Urology, University of Leipzig, Liebigstraße 20a, Leipzig, 04103, Germany.
Theodoros SpinosDepartment of Urology, University of Patras, Rio Patras, 26500, Greece.
Lars-Christian HornInstitute of Pathology, University of Leipzig, Liebigstraße 26, Leipzig, 04103, Germany.
Alexander SchaudinnDepartment of Diagnostic and Interventional Radiology, University of Leipzig, Liebigstraße 20, Leipzig, 04103, Germany.
Evangelos LiatsikosDepartment of Urology, University of Patras, Rio Patras, 26500, Greece.
Jens-Uwe StolzenburgDepartment of Urology, University of Leipzig, Liebigstraße 20a, Leipzig, 04103, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Clinical Decision-MakingProstateProstatic NeoplasmsAgedClinical RelevanceCohort StudiesHumansImage-Guided BiopsyMaleMiddle AgedMultiparametric Magnetic Resonance ImagingRetrospective StudiesUltrasonography, InterventionalDetection rateFusion biopsyPI-RADS 3Prostate cancer

Identifiers

PMID41176591
PMCPMC12579397

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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.