Evidence map›Paper›PMID 41770480›Full record

ArticleInsights into imaging2026

Diagnostic value of prostate magnetic resonance imaging in men with prostate-specific antigen levels ≥ 15 ng/mL for biopsy decision-making.

Samuel Trappe, Lars Schimmöller, Patrick Althoff, Karla Johanna Schero, Sebastian Berg, Jan Philipp Radtke, Irene Esposito, Florian Roghmann, Peter Albers, Gerald Antoch and 2 more

Abstract read
In one paragraph

Article in Insights into imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Samuel TrappeDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Dusseldorf, Germany.
Lars SchimmöllerDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Dusseldorf, Germany. lars.schimmoeller@med.uni-duesseldorf.de.ORCID http://orcid.org/0000-0001-7476-292X
Patrick AlthoffDepartment of Diagnostic, Interventional Radiology and Nuclear Medicine, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Herne, Germany.
Karla Johanna ScheroDepartment of Diagnostic, Interventional Radiology and Nuclear Medicine, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Herne, Germany.
Sebastian BergDepartment of Urology and Neurourology, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Herne, Germany.
Jan Philipp RadtkeDepartment of Urology, Medical Faculty, University Dusseldorf, Dusseldorf, Germany.
Irene EspositoDepartment of Pathology, Medical Faculty, University Dusseldorf, Dusseldorf, Germany.
Florian RoghmannDepartment of Urology and Neurourology, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Herne, Germany.
Peter AlbersDepartment of Urology, Medical Faculty, University Dusseldorf, Dusseldorf, Germany.
Gerald AntochDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Dusseldorf, Germany.
Rouvier Al-Monajjed *Department of Urology, Medical Faculty, University Dusseldorf, Dusseldorf, Germany.
Matthias Boschheidgen *Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Dusseldorf, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine the value of MRI in men with highly elevated PSA values for the exclusion of clinically significant prostate cancer (csPC). MATERIALS AND

methodsIn this retrospective bicenter cohort study, consecutive men with PSA values ≥ 15 ng/mL and multiparametric (mp) MRI were included. We excluded patients with acute prostatitis and patients without histopathology or follow-up. Examinations were evaluated regarding MRI quality, PSAD, and PI-RADS classification. For all patients with subsequent biopsy, PC and csPC detection rates were determined. In a subgroup analysis, patients with and without the presence of csPC were compared regarding clinical and MRI parameters.

resultsFinally, 376 patients (median PSA 20 ng/mL) were included. MRI quality was excellent (median PI-QUAL 3). 26% of the patients revealed an MRI with a PI-RADS category 2, 16% were classified as category 3, 12% PI-RADS 4, and 46% showed a PI-RADS 5. A total of 280 patients underwent systematic screening with or without targeted prostate biopsy. Among these, 42% with PSA values ranging from 15 to 116 ng/mL (median 19.5 ng/mL) showed no presence of PC. Overall, csPC detection rates were 94% for PI-RADS 5 and 51% for PI-RADS 4. No csPC were identified in PI-RADS 2, and 8% in PI-RADS 3. Comparative analysis between patients with and without csPC revealed significant differences in age, PSA, PSAD, and PI-RADS (p ≤ 0.05).

conclusionsmpMRI demonstrated excellent performance in the detection of csPC in this high-risk cohort with PSA levels ≥ 15 ng/mL. High-quality MRI helps to exclude csPC in cases with significantly elevated PSA levels to avoid unnecessary prostate biopsies. CRITICAL RELEVANCE STATEMENT: mpMRI demonstrated a high diagnostic accuracy for csPCs in men with PSA ≥ 15 ng/mL, and in cases of non-suspicious MRI findings, it can avoid unnecessary biopsies in these patients at risk. KEY POINTS: MpMRI demonstrated high diagnostic accuracy in men with PSA values of ≥ 15 ng/mL. MpMRI enables the reliable exclusion of csPC in cases with non-suspicious MRI findings in these patients. In patients with significantly elevated PSA levels, mpMRI provides an effective risk stratification to avoid unnecessary biopsies.

Indexed as

Multiparametric MRIProstate cancerPSA valueRisk assessment

Identifiers

PMID41770480
PMCPMC12953813

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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.