Evidence map›Paper›PMID 39858061›Full record

ArticleCancers2025

Meeting Cancer Detection Benchmarks in MRI/Ultrasound Fusion Biopsy for Prostate Cancer: Insights from a Retrospective Analysis of Experienced Urologists.

Fabian Utzat, Stefanie Herrmann, Matthias May, Johannes Moersler, Ingmar Wolff, Johann Lermer, Mate Gregor, Katharina Fodor, Verena Groß, Anton Kravchuk and 3 more

Abstract read
In one paragraph

Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Fabian UtzatDepartment of Urology, University of Witten/Herdecke, 42283 Wuppertal, Germany.
Stefanie HerrmannDepartment of Urology, St. Elisabeth Hospital Straubing, 94315 Straubing, Germany.
Matthias MayDepartment of Urology, St. Elisabeth Hospital Straubing, 94315 Straubing, Germany.
Johannes MoerslerDepartment of Radiology, St. Elisabeth Hospital Straubing, 94315 Straubing, Germany.
Ingmar WolffDepartment of Urology, University Medicine Greifswald, 17475 Greifswald, Germany.ORCID 0000-0003-4197-6643
Johann LermerDepartment of Urology, St. Elisabeth Hospital Straubing, 94315 Straubing, Germany.
Mate GregorInstitute of Pathology, Hospital Deggendorf, 94469 Deggendorf, Germany.
Katharina FodorDepartment of Urology, St. Elisabeth Hospital Straubing, 94315 Straubing, Germany.
Verena GroßDepartment of Urology, St. Elisabeth Hospital Straubing, 94315 Straubing, Germany.
Anton KravchukDepartment of Urology, St. Elisabeth Hospital Straubing, 94315 Straubing, Germany.
Thomas ElgetiDepartment of Radiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 12203 Berlin, Germany.ORCID 0000-0002-7155-6044
Stephan DegenerDepartment of Urology, University of Witten/Herdecke, 42283 Wuppertal, Germany.
Christian GilfrichDepartment of Urology, St. Elisabeth Hospital Straubing, 94315 Straubing, Germany.ORCID 0000-0003-0211-0636

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe relationship between case volume and clinical outcomes is well established for most urological procedures but remains underexplored in prostate ultrasound/MRI fusion biopsy (UMFB). UMFB aims to detect clinically significant prostate cancer (csPCa) by adhering to cancer detection benchmarks for PI-RADS lesions identified via multiparametric MRI (mpMRI). These benchmarks, defined by Ahmed et al., include cumulative cancer detection rate (C-CDR) targets of >80% for PI-RADS 5, >50% for PI-RADS 4, and <20% for PI-RADS 1-3.

methodsThis retrospective, single-center study analyzed the case volumes required for two experienced urologists (U1 and U2, each with >15 years of practice) to consistently achieve the Ahmed-defined C-CDR benchmarks for csPCa (ISUP grade ≥ 2) using UMFB. Both transrectal and transperineal approaches were included to enable comprehensive learning curve analysis. Data from 2017 to 2023 were reviewed, encompassing 157 UMFBs performed by U1 and 242 by U2, with a transrectal-to-perineal ratio of 7:3.

resultsBoth urologists achieved Ahmed-defined C-CDR targets from the outset. Over a median follow-up of 30 months, patients with initial PI-RADS 4 or 5 ratings and negative primary biopsies remained prostate cancer-free in 77% of cases for U1 and 91.2% for U2 (

conclusionsThis study demonstrates that experienced urologists can achieve high diagnostic accuracy and maintain patient safety immediately upon implementing UMFB, meeting established benchmarks without requiring additional procedural learning.

Indexed as

fusion biopsyimage-guided biopsylearning curvempMRImultiparametric MRIpatient safetyPI-RADSsystematic biopsytargeted biopsyurological surgical procedures

Identifiers

PMID39858061
PMCPMC11764349

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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.