Evidence map›Paper›PMID 41989063›Full record

SynthesisBJU international2026

Micro-ultrasonography- vs MRI-targeted biopsy in prostate cancer: Updated systematic review and meta-analysis.

José Pedro Cassemiro Micheleto, Tallys Ávila Suzuki, Lucas Amorim Santos, Luann Porpino Sales, Roberto Iglesias Lopes, Bárbara Miranda Martins, Bárbara Vieira Lima Aguiar Melão, Mauricio Dener Cordeiro, Walid Sharour, Walid Shabana and 3 more

Abstract readSystematic ReviewMeta-AnalysisComparative Study
In one paragraph

Synthesis in BJU international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

13 authors.

José Pedro Cassemiro MicheletoDivision of Urology, Institute of Cancer of São Paulo, University of São Paulo, São Paulo, Brazil.ORCID 0000-0002-8185-0079
Tallys Ávila SuzukiDivision of Urology, Institute of Cancer of São Paulo, University of São Paulo, São Paulo, Brazil.
Lucas Amorim SantosDivision of Urology, Institute of Cancer of São Paulo, University of São Paulo, São Paulo, Brazil.
Luann Porpino SalesDivision of Urology, Institute of Cancer of São Paulo, University of São Paulo, São Paulo, Brazil.
Roberto Iglesias LopesDivision of Urology, Institute of Cancer of São Paulo, University of São Paulo, São Paulo, Brazil.
Bárbara Miranda MartinsDivision of Urology, Institute of Cancer of São Paulo, University of São Paulo, São Paulo, Brazil.
Bárbara Vieira Lima Aguiar MelãoDepartment of Oncology, Manaus Hospital, Manaus, Brazil.
Mauricio Dener CordeiroDivision of Urology, Institute of Cancer of São Paulo, University of São Paulo, São Paulo, Brazil.
Walid SharourDepartment of Urology, Thunder Bay Regional Health Sciences Centre and Northern Ontario School of Medicine University, Thunder Bay, ON, Canada.
Walid ShabanaDepartment of Urology, Thunder Bay Regional Health Sciences Centre and Northern Ontario School of Medicine University, Thunder Bay, ON, Canada.
William Carlos NahasDivision of Urology, Institute of Cancer of São Paulo, University of São Paulo, São Paulo, Brazil.
Leopoldo Alves Ribeiro FilhoDivision of Urology, Institute of Cancer of São Paulo, University of São Paulo, São Paulo, Brazil.
Caio Vinicius SuartzDepartment of Urology, Thunder Bay Regional Health Sciences Centre and Northern Ontario School of Medicine University, Thunder Bay, ON, Canada.ORCID 0000-0002-1364-5508

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo refine prostate cancer (PCa) pathways by comparing micro-ultrasonography-targeted biopsy (micro-US-TBx) with magnetic resonance imaging (MRI)-TBx for detecting clinically significant PCa (csPCa) and by evaluating diagnostic accuracy (sensitivity, specificity, positive predictive value, negative predictive value).

methodsThe Medical Literature Analysis and Retrieval System Online (MEDLINE; PubMed), Excerpta Medica dataBASE (EMBASE), and ClinicalTrials.gov were searched on 4 July 2025 and updated 5 August 2025, without language/date limits. Eligible randomised and observational studies compared micro-US-TBx vs MRI-TBx (± systematic biopsy) in men with suspected PCa or on active surveillance; csPCa was Gleason Grade Group ≥2. Two reviewers screened/extracted per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines; quality was assessed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Detection ratios (DRs) were pooled with random-effects models; diagnostic accuracy used a bivariate random-effects model from 2 × 2 tables. Certainty of evidence was rated with the Grading of Recommendations, Assessment, Development, and Evaluation framework.

resultsA total of 22 studies (micro-US-TBx = 5581; MRI-TBx = 5937) were included. Micro-US-TBx detected 2037 csPCa cases and MRI-TBx 2043. The pooled DR (micro-US-TBx vs MRI-TBx) was 1.04 (95% confidence interval 0.95-1.15; I

conclusionThe micro-US-TBx demonstrated csPCa detection and diagnostic accuracy comparable to MRI-TBx. Given its real-time imaging capability, accessibility, and potential workflow advantages, micro-US-TBx may represent a valuable complementary tool within contemporary PCa diagnostic pathways. Further cost-effectiveness studies are warranted to better define its role in clinical practice.

Indexed as

Image-Guided BiopsyMagnetic Resonance ImagingProstatic NeoplasmsUltrasonography, InterventionalHumansMaleSensitivity and Specificitymagnetic resonance imagingmeta‐analysismicro‐ultrasoundprostate cancersystematic review

Identifiers

PMID41989063
PMCPMC13371815

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.