Evidence map›Paper›PMID 40863883›Full record

ArticleTomography (Ann Arbor, Mich.)2025

Differences in PI-RADS Classification of Prostate Cancer Based on mpMRI Scans Taken 6 Weeks Apart.

Justine Schoch, Viola Düring, Michael Wiedmann, Daniel Overhoff, Daniel Dillinger, Stephan Waldeck, Hans-Ulrich Schmelz, Tim Nestler

Abstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 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

8 authors.

Justine SchochDepartment of Urology, Federal Armed Forces Hospital Koblenz, Ruebenacher Strasse 170, 56072 Koblenz, Germany.
Viola DüringDepartment of Urology, Federal Armed Forces Hospital Koblenz, Ruebenacher Strasse 170, 56072 Koblenz, Germany.
Michael WiedmannDepartment of Urology, Federal Armed Forces Hospital Koblenz, Ruebenacher Strasse 170, 56072 Koblenz, Germany.
Daniel OverhoffDepartment of Diagnostic and Interventional Radiology, Federal Armed Forces Hospital Koblenz, Ruebenacher Strasse 170, 56072 Koblenz, Germany.
Daniel DillingerDepartment of Diagnostic and Interventional Radiology, Federal Armed Forces Hospital Koblenz, Ruebenacher Strasse 170, 56072 Koblenz, Germany.ORCID 0000-0003-2088-0167
Stephan WaldeckDepartment of Diagnostic and Interventional Radiology, Federal Armed Forces Hospital Koblenz, Ruebenacher Strasse 170, 56072 Koblenz, Germany.
Hans-Ulrich SchmelzDepartment of Urology, Federal Armed Forces Hospital Koblenz, Ruebenacher Strasse 170, 56072 Koblenz, Germany.
Tim NestlerDepartment of Urology, Federal Armed Forces Hospital Koblenz, Ruebenacher Strasse 170, 56072 Koblenz, Germany.ORCID 0000-0001-6033-6364

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to investigate the consistency of lesion identification by Prostate Imaging Reporting and Data System (PI-RADS) and the related clinical and histological characteristics in a high-volume tertiary care center. MATERIALS AND

methodsThe analysis used real-world data from 111 patients between 2018 and 2022. Each patient underwent two multiparametric magnetic resonance imaging (MRI) scans of the prostate at different institutions with a median interval of 42 days between the scans, followed by an MRI-fused biopsy conducted 7 days after the second MRI.

resultsThe PI-RADS classifications assigned to the index lesions in the in-house prostate MRI were as follows: PI-RADS V, 33.3% (n = 37); PI-RADS IV, 49.5% (n = 55); PI-RADS III, 12.6% (n = 14); and PI-RADS II, 4.5% (n = 5). Cancer detection rates for randomized and/or targeted biopsies were 91.9% (n = 34) for PI-RADS V, 65.5% (n = 36) for PI-RADS IV, 21.4% (n = 3) for PI-RADS III, and 20% (n = 1) for PI-RADS II. Overall, malignant histology was observed in 64.9% (n = 72) of the targeted lesions and 57.7% (n = 64) of the randomized biopsies. In the first performed, external MRI, 18% (n = 20) and 10.8% (n = 12) of the patients were classified in the higher and lower PI-RADS categories, respectively. The biopsy plan was adjusted for 57 patients (51.4%); nevertheless, any cancer could have possibly been identified regardless of the adjustments.

conclusionThe 6-week interval between the MRI scans did not affect the quality of the biopsy results significantly.

Indexed as

Multiparametric Magnetic Resonance ImagingProstatic NeoplasmsAgedHumansImage-Guided BiopsyMaleMiddle AgedProstateRadiology Information SystemsRetrospective StudiescsPCaMeSHmpMRIMRI-guided biopsyPI-RADSprostate cancer

Identifiers

PMID40863883
PMCPMC12390117

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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.