Evidence map›Paper›PMID 41824041›Full record

ArticleEuropean radiology2026

Assessing breast MRI image quality: the bMRI-QUAL scoring system.

Sara Marziali, Lisa Corradini, Catherine Depretto, Gianmarco Della Pepa, Giovanni Irmici, Gabriele Rossini, Moreno Zanardo, Gabriele Bonetti, Gianfranco P Scaperrotta, Francesco Sardanelli

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Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Sara MarzialiCasa di Cura Igea, Milan, Italy.
Lisa CorradiniFondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Catherine DeprettoFondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Gianmarco Della PepaFondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Giovanni IrmiciFondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Gabriele RossiniFondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Moreno ZanardoDepartment of Life Sciences, Health and Health Professions, Link Campus University, Rome, 00165, Italy.
Gabriele BonettiLega Italiana per la Lotta contro i Tumori (LILT) Milano Monza Brianza, Milan, Italy.
Gianfranco P ScaperrottaFondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Francesco SardanelliLega Italiana per la Lotta contro i Tumori (LILT) Milano Monza Brianza, Milan, Italy. francesco.sardanelli@legatumori.mi.it.ORCID http://orcid.org/0000-0001-6545-9427

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe performance of breast MRI (bMRI) depends on image quality, varying due to patient-related or technical/protocol factors. The resulting artifacts can heavily reduce sensitivity and specificity. We developed a bMRI quality scoring system (bMRI-QUAL) for the bMRI standard protocol. MATERIALS AND

methodsTwo independent readers with 3 years of experience evaluated 133 consecutive 1.5-T examinations (sample size calculated to ensure reproducibility). Each sequence was rated on a 4-point scale: 0 = not diagnostic; 1 = relevant artifacts with conserved diagnostic value; 2 = slight artifacts with conserved diagnostic value; 3 = excellent image quality. Each score was weighted in the following formula: (T2-weighted * 1) + (diffusion weighted imaging with b = 0 * 0.5) + (apparent diffusion coefficient maps * 0.5) + (T1-weighted-precontrast * 1) + (T1-weighted-postcontrast * 2) + (T1-weighted-subtracted * 3). This sum was divided by 2.4, obtaining a 0-to-10 global score (GS), with < 6 considered insufficient.

resultsThe average GS between the two readers was 8.3 ± 1.0, with 102/133 examinations (76.7%) receiving a score ≥ 7 from both readers. Only one case (0.8%) was scored < 6 by both readers. The Bland-Altman analysis showed bias of -0.12, with limits of agreement ranging from -2.52 to +2.29. The difference in GS between the two readers (coverage probability) was 72/133 (54.1%) within ±1 and 123/133 (92.5%) within ±2. Coverage probability within ±1 point ranged from 94.0% to 99.2% across sequences. Average evaluation time/examination was 3 min.

conclusionsbMRI-QUAL is a reproducible quality scoring system. Breast MRI image quality at a tertiary cancer center was good to excellent in approximately 80% of cases. KEY POINTS: QuestionBreast MRI image quality varies widely and can compromise diagnostic accuracy. A standardized, clinically weighted scoring system is needed to guide repeat-scan decisions and facilitate quality assurance. FindingsIn 133 breast MRIs, the bMRI-QUAL 0-to-10 scoring system proved to be reproducible. Readers assigned a good-to-excellent mean score (8.3) with a 3-min evaluation time. Clinical relevancebMRI-QUAL provides a relatively fast and reproducible evaluation of breast MRI image quality, with each sequence weighted according to its clinical relevance for lesion detection/characterization. It can support decision-making regarding insufficient image quality and facilitate quality assurance protocols.

Indexed as

Breast NeoplasmsMagnetic Resonance ImagingAdultAgedArtifactsFemaleHumansImage Interpretation, Computer-AssistedMiddle AgedObserver VariationReproducibility of ResultsSensitivity and SpecificityArtifactsBreastMagnetic resonance imagingQuality assessmentReproducibility

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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.