Evidence map›Paper›PMID 41550796›Full record

ArticleEuropean urology open science2026

Real-world Inter-rater Agreement of PI-QUAL Version 2 for Prostate Magnetic Resonance Imaging Quality Assessment and Its Association with Diagnostic Accuracy.

Daniel L van den Kroonenberg, Jelle Barentsz, Bo J Hamstra, Stijn M van den Bosch, Joris-Jan Gijsbertsen, Johannes B Reitsma, Giorgio Brembilla, Iztok Caglic, H P J Raat, Maarten de Rooij and 3 more

Registry-linked trialAbstract read
In one paragraph

Article in European urology open science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06281769 (Clinical Validation of Transrectal Multiparametric Ultrasound Imaging Strategy), which is not on this map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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.

NCT06281769 nacompletednot on this map

Clinical Validation of Transrectal Multiparametric Ultrasound Imaging Strategy (PCaVision) for the Detection of Clinically Significant Prostate Cancer: a Head-to-head Comparison With the MRI-based Strategy

TypeinterventionalSponsorAcademisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)Ran2024 to 2025Enrolled467ConditionsProstate CancerArms3D multi-parametric ultrasound targeted biopsy pathway using PcaVision, MRI targeted biopsy pathway
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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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.

Daniel L van den KroonenbergDepartment of Urology, Amsterdam UMC, Amsterdam, The Netherlands.
Jelle BarentszAndros Clinics, Baarn, The Netherlands.
Bo J HamstraDepartment of Urology, Amsterdam UMC, Amsterdam, The Netherlands.
Stijn M van den BoschDepartment of Urology, Amsterdam UMC, Amsterdam, The Netherlands.
Joris-Jan GijsbertsenDepartment of Urology, Amsterdam UMC, Amsterdam, The Netherlands.
Johannes B ReitsmaUMC Utrecht, Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht University, Utrecht, The Netherlands.
Giorgio BrembillaDepartment of Radiology, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
Iztok CaglicDepartment of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK.
H P J RaatDepartment of Radiology, Laurentius Hospital, Roermond, The Netherlands.
Maarten de RooijDepartment of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
Arnoud W PostemaDepartment of Urology, Leiden University Medical Center, Leiden, The Netherlands.
Francesco GigantiDepartment of Radiology, University College London Hospital NHS Foundation Trust, London, UK.
Jorg R OddensDepartment of Urology, Amsterdam UMC, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: Magnetic resonance imaging (MRI) has been shown to improve the detection of prostate cancer, the second most diagnosed cancer among men. This study evaluates the inter-rater agreement for MRI quality using Prostate Imaging Quality (PI-QUAL) v2. It studies the association of PI-QUAL with diagnostic accuracy and the proportion of indeterminate Prostate Imaging Reporting and Data System (PI-RADS) 3 lesions with PI-QUAL scores. Methods: This multicenter cohort study included biopsy-naïve patients from the PCAVISION trial (NCT06281769) who underwent MRI for a suspicion of prostate cancer. Four radiologists independently scored PI-QUAL v2 and PI-RADS. PI-QUAL v2 scores were dichotomized as PI-QUAL 1 versus PI-QUAL ≥2. PI-RADS was dichotomized as PI-RADS ≤2 versus PI-RADS ≥3 and evaluated using percentage agreement, kappa, and Gwet's agree coefficient (AC) 1. The PI-QUAL consensus score was defined by the majority score or by a referee if no majority was reached. In cases with biopsy pathology, the association between PI-QUAL and diagnostic accuracy was assessed. Key findings and limitations: In total, 352 MRI scans were included, with 150 multiparametric MRI and 202 biparametric MRI scans. The percentage agreement for dichotomized PI-QUAL was 53% (95% confidence interval [CI] 51-56%) with AC1 of 0.11 (95% CI 0.06-0.16), mainly due to one reader who strictly applied technical criteria classifying 83% as inadequate (PI-QUAL 1), compared with 12-43% by others. Exclusion of this reader resulted in a percentage agreement of 69% (95% CI 65-73%) and an AC1 of 0.51 (95% CI 0.44-0.58). Consensus classified 24% of MRI scan as PI-QUAL 1 and 76% as PI-QUAL ≥2. In an exploratory analysis, the negative predictive value was 68% (95% CI 47-85%) for PI-QUAL 1 and 74% (95% CI 60-85%) for PI-QUAL ≥2, and the positive predictive value was 62% (95% CI 45-78%) and 50% (95% CI 42-59%), respectively. The proportion of PI-RADS 3 lesions was higher in PI-QUAL 1 scans than in PI-QUAL ≥2 scans (difference of -6.5%, 95% CI -11% to -1.4%, Conclusions and clinical implications: Strict adherence to the technical PI-QUAL criteria led to poor inter-rater agreement, while visual-based assessment yielded moderate agreement. Importantly, higher PI-QUAL scores were linked to fewer indeterminate PI-RADS 3 lesions. Patient summary: We studied how doctors agree when judging the quality of prostate magnetic resonance imaging (MRI) scan using the Prostate Imaging Quality scoring system. When they focused too strictly on technical rules, agreement was poor; when scans were judged visually, agreement improved. Better-quality MRI scans led to fewer unclear ("indeterminate") results, helping doctors make clearer biopsy decisions.

Indexed as

Diagnostic performanceImage qualityMagnetic resonance imagingProstateProstate Imaging QualityProstate Imaging Reporting and Data System

Identifiers

PMID41550796
PMCPMC12809076

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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.