Evidence map›Paper›PMID 41826767›Full record

ReviewEuropean radiology2026

Prostate MRI quality improvement: a Roadmap from the ESUR Prostate MRI Working Group.

Adriano B Dias, Jelle Barentsz, Clare Allen, Ronaldo Hueb Baroni, Hanna Falińska, Caterina Gaudiano, Rossano Girometti, Rajan T Gupta, Fredrik Jäderling, Daniel Junker and 11 more

Abstract readReview
In one paragraph

Review in European radiology, 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. 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

21 authors.

Adriano B DiasUniversity Medical Imaging Toronto, Joint Department of Medical Imaging (University Health Network/Sinai Health System/Women's College Hospital) and Department of Medical Imaging, University of Toronto, Toronto, Canada.
Jelle BarentszDepartment of Medical Imaging, Andros Clinics, Arnhem, The Netherlands.
Clare AllenDepartment of Radiology, University College London Hospitals NHS Foundation Trust (UCLH), London, UK.
Ronaldo Hueb BaroniDepartment of Radiology, Hospital Israelita Albert Einstein, São Paulo, Brazil.
Hanna FalińskaDepartment of Radiology, Affidea Poland, Warsaw, Poland.
Caterina GaudianoDepartment of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Rossano GiromettiInstitute of Radiology, Department of Medicine (DMED), University of Udine, Udine, Italy.
Rajan T GuptaDepartment of Radiology, Duke University School of Medicine, Durham, NC, USA.
Fredrik JäderlingDepartment of Radiology, Capio S:t Göran's Hospital, Stockholm, Sweden.
Daniel JunkerDepartment of Radiology, Community Hospital Hall in Tirol (Tirol Kliniken), Hall in Tirol, Austria.
Guido Matthias KukukDepartment of Radiology, Kantonsspital Graubünden, Chur, Switzerland.
Ana Sofia L MoreiraDepartment of Radiology, Unidade Local de Saúde do Algarve (ULS Algarve), Faro, Portugal.
Vibeke LøgagerDepartment of Radiology, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark.
Philippe PuechDepartment of Radiology, CHU Lille (Lille University Hospital), Lille, France.
Andrei S PuryskoImaging Institute, Abdominal Imaging Section and Department of Nuclear Medicine, Diagnostics Institute, Cleveland Clinic, Cleveland, OH, USA.
Johannes UhligDepartment of Clinical and Interventional Radiology, University Medical Center Göttingen (UMG), Göttingen, Germany.
Stephan UrsprungDepartment of Diagnostic and Interventional Radiology, Tübingen University Hospital, Eberhard Karls University Tübingen, Tübingen, Germany.
Geert VilleirsDepartment of Radiology and Nuclear Medicine, Ghent University Hospital (UZ Gent), Ghent, Belgium.
Jonathan RichenbergDepartment of Imaging, University Hospitals Sussex NHS Foundation Trust, Brighton and Sussex Medical School, Brighton, UK.
Francesco GigantiDepartment of Radiology, University College London Hospitals NHS Foundation Trust (UCLH), London, UK. f.giganti@ucl.ac.uk.ORCID http://orcid.org/0000-0001-5218-6431
ESUR Prostate MRI Working Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate magnetic resonance imaging (MRI) has become a crucial tool in diagnosing and managing prostate cancer, mainly by helping to avoid unnecessary biopsies and enhancing the detection of clinically significant disease. However, its clinical usefulness is often limited by wide variation in how images are acquired, interpreted, and reported worldwide. This inconsistency affects diagnostic accuracy and patient outcomes. In response, the Quality Improvement Subgroup of the European Society of Urogenital Radiology (ESUR) Prostate MRI Working Group has created a practical, three-step quality-improvement framework aimed at standardising and improving prostate MRI practices. This framework consists of: Step 1: 'Build it right', establishing a foundation of technical excellence through adherence to the Prostate Imaging Reporting and Data System (PI-RADS) technical standards, objective quality assessment using the Prostate Imaging Quality (PI-QUAL) score, and systematic artefact reduction. Step 2: 'See it right', emphasising interpretive excellence via structured training, institutional quality assurance metrics, and multidisciplinary collaboration. Step 3: 'Improve and innovate', promoting continual refinement through emerging technologies such as AI-driven assessment, deep learning reconstruction, and remote supervision. By incorporating this structured approach into daily practice, this framework aims to ensure that prostate MRI consistently fulfils its promise of accurate, reproducible, and patient-centred care. A coordinated effort towards international implementation, benchmarking, and outcome-based validation represents the next critical step to maximise global impact. KEY POINTS: Question Wide variation in prostate MRI acquisition, image quality, and reporting undermines diagnostic accuracy. A structured roadmap is needed to ensure consistent quality and reproducible practice. Findings The ESUR Prostate MRI Working Group outlines a three-step framework - 'Build it right', 'See it right', 'Improve and innovate' - to standardise acquisition, interpretation, and quality assurance. Clinical relevance Applying this roadmap in clinical practice aims to enhance diagnostic confidence and promote consistent, high-quality prostate cancer care across diverse healthcare settings.

Indexed as

Magnetic Resonance ImagingProstatic NeoplasmsQuality ImprovementEuropeHumansMaleProstateMagnetic resonance imagingProstatic neoplasmsQuality control

Identifiers

PMID41826767
PMCPMC13282344

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.