Evidence map›Paper›PMID 41402568›Full record

ArticleEuropean radiology2026

Prostate MRI learning curves: establishing training benchmarks for radiology and urology trainees.

Pavel Stegarescu, Egon Burian, Amelie Lutz, Nathan Perlis, Ulrich Grosse, Nemanja Avramovic, Stoyan Benev, Constantin Bolz, Pia Götz, Marc Koschler and 13 more

Abstract read
In one paragraph

Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

23 authors.

Pavel StegarescuDepartment of Diagnostic and Interventional Radiology, Cantonal Hospital of Frauenfeld and Münsterlingen, Spital Thurgau AG, Frauenfeld, Switzerland.
Egon BurianInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
Amelie LutzDepartment of Diagnostic and Interventional Radiology, Cantonal Hospital of Frauenfeld and Münsterlingen, Spital Thurgau AG, Frauenfeld, Switzerland.
Nathan PerlisDivision of Urology, Department of Surgical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Ulrich GrosseDepartment of Diagnostic and Interventional Radiology, Cantonal Hospital of Frauenfeld and Münsterlingen, Spital Thurgau AG, Frauenfeld, Switzerland.
Nemanja AvramovicDepartment of Diagnostic and Interventional Radiology, Cantonal Hospital of Frauenfeld and Münsterlingen, Spital Thurgau AG, Frauenfeld, Switzerland.
Stoyan BenevDepartment of Diagnostic and Interventional Radiology, Cantonal Hospital of Frauenfeld and Münsterlingen, Spital Thurgau AG, Frauenfeld, Switzerland.
Constantin BolzDepartment of Diagnostic and Interventional Radiology, Cantonal Hospital of Frauenfeld and Münsterlingen, Spital Thurgau AG, Frauenfeld, Switzerland.
Pia GötzDepartment of Urology, Cantonal Hospital of Frauenfeld and Münsterlingen, Spital Thurgau AG, Frauenfeld, Switzerland.
Marc KoschlerDepartment of Diagnostic and Interventional Radiology, Cantonal Hospital of Frauenfeld and Münsterlingen, Spital Thurgau AG, Frauenfeld, Switzerland.
Joana KostovaDepartment of Diagnostic and Interventional Radiology, Cantonal Hospital of Frauenfeld and Münsterlingen, Spital Thurgau AG, Frauenfeld, Switzerland.
Ana MacekDepartment of Diagnostic and Interventional Radiology, Cantonal Hospital of Frauenfeld and Münsterlingen, Spital Thurgau AG, Frauenfeld, Switzerland.
Abigail Martin MensDepartment of Diagnostic and Interventional Radiology, Cantonal Hospital of Frauenfeld and Münsterlingen, Spital Thurgau AG, Frauenfeld, Switzerland.
Khashayar NamdarInstitute of Medical Science, University of Toronto, Toronto, ON, Canada.
Ioan PopaDepartment of Diagnostic and Interventional Radiology, Cantonal Hospital of Frauenfeld and Münsterlingen, Spital Thurgau AG, Frauenfeld, Switzerland.
Aileen SatariDepartment of Urology, Cantonal Hospital of Frauenfeld and Münsterlingen, Spital Thurgau AG, Frauenfeld, Switzerland.
Sydney SchmidtDepartment of Urology, Cantonal Hospital of Frauenfeld and Münsterlingen, Spital Thurgau AG, Frauenfeld, Switzerland.
Feri TöckeltDepartment of Diagnostic and Interventional Radiology, Cantonal Hospital of Frauenfeld and Münsterlingen, Spital Thurgau AG, Frauenfeld, Switzerland.
Roman WiegeleDepartment of Urology, Cantonal Hospital of Frauenfeld and Münsterlingen, Spital Thurgau AG, Frauenfeld, Switzerland.
Jan KleinDepartment of Urology, Cantonal Hospital of Frauenfeld and Münsterlingen, Spital Thurgau AG, Frauenfeld, Switzerland.
Thomas HerrmannDepartment of Urology, Cantonal Hospital of Frauenfeld and Münsterlingen, Spital Thurgau AG, Frauenfeld, Switzerland.
Gustav AndreisekDepartment of Diagnostic and Interventional Radiology, Cantonal Hospital of Frauenfeld and Münsterlingen, Spital Thurgau AG, Frauenfeld, Switzerland.
Dominik DeniffelDepartment of Diagnostic and Interventional Radiology, Cantonal Hospital of Frauenfeld and Münsterlingen, Spital Thurgau AG, Frauenfeld, Switzerland. dominik.deniffel@team-radiologie.ch.ORCID http://orcid.org/0000-0001-8200-8396

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEvidence-based training benchmarks for prostate multiparametric MRI (mpMRI) interpretation remain undefined amid growing educational demands. We compared learning curves between radiology and urology trainees and quantified the impact of prior radiological experience. MATERIALS AND

methodsFourteen trainees (10 radiology, median 2.7 years experience; 4 urology, no imaging experience), all naïve to prostate mpMRI, prospectively interpreted 200 cases using a feedback-based platform. Performance metrics included agreement with expert consensus reference for PI-RADSv2.1 (≥ 3), PI-QUALv2 image quality, extraprostatic extension (EPE) grading, and readout time. Learning curves were modeled using generalized estimating equations; segmented regression identified inflection points; bootstrapping generated 95% CIs.

resultsPrior radiological experience showed no significant impact on PI-RADSv2.1 (OR per year 1.06 [95% CI: 0.96, 1.16]) or PI-QUALv2 (1.05 [0.99, 1.23]), with a minor effect on EPE grading (1.11 [1.03, 1.24]). Final PI-RADSv2.1 agreement with reference was similar (urology 80.9%, radiology 77.4%; OR 1.24 [0.55, 3.10]), with sensitivity/specificity 0.84/0.80 and 0.83/0.79, and Cohen's κ values (0.64 and 0.61) matching inter-expert κ = 0.63. Learning plateaued after 69-75 cases. Urology trainees demonstrated higher baseline PI-QUALv2/EPE agreement (OR 2.01 [1.35, 3.02] and 1.90 [1.11, 2.93]), but radiology trainees achieved similar final performance (PI-QUALv2: 88.0% vs 89.9%, OR 0.82 [0.35, 1.72]; EPE: 84.6% vs 90.0%, OR 0.61 [0.31, 1.42]). Readout times decreased markedly in both groups (final difference 53.3 s [-9.4, 95.9]).

conclusionFeedback-based training enabled similar prostate mpMRI interpretation performance across specialties, with most learning within 75 cases. Prior radiological experience had a limited impact. These empirical benchmarks inform certification standards and early-residency curricula in radiology and urology. KEY POINTS: Question Evidence-based training benchmarks for prostate mpMRI interpretation competency in radiology and urology trainees remain undefined, despite growing educational needs and clinical demands. Findings Learning curves of 200 prostate mpMRI cases with feedback showed radiology and urology trainees plateauing after 69-75 cases with similar PI-RADSv2.1, PI-QUALv2, EPE grading performance. Clinical relevance Our findings establish an empirical benchmark (~75 cases) to guide prostate mpMRI certification standards and support the implementation of training curricula early in residency across specialties, regardless of prior radiological experience.

Indexed as

BenchmarkingClinical CompetenceLearning CurveMagnetic Resonance ImagingMultiparametric Magnetic Resonance ImagingProstatic NeoplasmsRadiologyUrologyHumansMaleProspective StudiesLearning curvesMultiparametric magnetic resonance imagingProstate cancerRadiology trainingUrology training

Identifiers

PMID41402568
PMCPMC13086796

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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.