Evidence map›Paper›PMID 41549703›Full record

ArticleJournal of cachexia, sarcopenia and muscle2026

Muscle Imaging in Inclusion Body Myositis: Refinement of MRI Criteria and Insights Into Upper Body Involvement.

Eleonora Torchia, Matteo Lucchini, José Verdu-Diaz, Sara Bortolani, Beatrice Ravera, Vincenzo Carlomagno, Alessandra Cicia, Daniela Bernardo, Mauro Monforte, Robert Rehmann and 6 more

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 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

16 authors.

Eleonora TorchiaDepartment of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy.ORCID https://orcid.org/0000-0003-1965-6483
Matteo LucchiniDepartment of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy.
José Verdu-DiazJohn Walton Muscular Dystrophy Research Centre, NIHR Newcastle Biomedical Research Centre, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.
Sara BortolaniUnità Operativa Complessa di Neurologia, Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Rome, Italy.
Beatrice RaveraDepartment of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy.
Vincenzo CarlomagnoDepartment of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy.
Alessandra CiciaDepartment of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy.
Daniela BernardoNeMO Clinical Center-Rome, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Mauro MonforteUnità Operativa Complessa di Neurologia, Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Rome, Italy.
Robert RehmannDepartment of Neurology, University Hospital Bergmannsheil, Ruhr University, Bochum, Germany.
Rudolf Andre KleyDepartment of Neurology, St. Marien-Hospital Borken, Borken, Germany.
Mario SabatelliNeMO Clinical Center-Rome, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Jordi Díaz-ManeraJohn Walton Muscular Dystrophy Research Centre, NIHR Newcastle Biomedical Research Centre, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.
Enzo RicciDepartment of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy.
Massimiliano MirabellaDepartment of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy.
Giorgio TascaJohn Walton Muscular Dystrophy Research Centre, NIHR Newcastle Biomedical Research Centre, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.ORCID https://orcid.org/0000-0003-0849-9144

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe diagnosis of inclusion body myositis (IBM) can be delayed because of its heterogeneous clinical presentation and the lack of specific biomarkers. Muscle imaging has gained increasing relevance over the past decade and is now included among the supportive criteria in the international diagnostic guidelines. This study aimed to refine MRI criteria for IBM to facilitate clearer pattern recognition, increase their reproducibility and broader clinical applicability. We also aimed to provide a comprehensive evaluation of muscle wasting across the entire body, including less frequently assessed regions such as the neck, scapular girdle and trunk muscles, and to explore the presence of radiological IBM phenotypes through cluster analysis.

methodsSixty-eight MRI scans and clinical records from patients diagnosed with IBM between 2003 and 2024 (60% males; mean age: 66 years, range: 46-85) were retrospectively reviewed. We defined a new set of three main and three supportive MRI criteria based on muscle imaging features and assessed their sensitivity. Whole body muscle involvement was semi-quantitatively scored using standardized scales across 6006 muscles. Pairwise correlation and K-means cluster analysis were performed to evaluate clinical-radiological relationships and identify phenotypic subgroups.

resultsThe revised MRI criteria achieved 96% sensitivity. Performance was consistent across clinical subgroups and remained robust (83%) in patients with atypical onset. Whole-body analysis highlighted mild but frequent wasting of paraspinal (90% of scans) and neck and scapular girdle muscles (87%), while intracranial muscles were consistently unaffected. Correlation analysis underlined a significant association between radiological and functional involvement in the lower (r = 0.57, p < 0.001) but not in the upper body. Cluster analysis revealed two overlapping but distinguishable imaging phenotypes, characterized by different involvement of paraspinal and distal leg muscles. Cluster 1 showed a higher proportion of male patients.

conclusionsThe revised MRI criteria allow a reliable and easy recognition of the IBM pattern of muscle involvement, while whole-body imaging offers additional insights into disease heterogeneity and supports patient stratification in clinical trials. Clustering results also highlighted a possible sex-related influence on muscle vulnerability. The observed clinico-radiological correlations further support the role of muscle MRI indices as a surrogate outcome measure of muscle function.

Indexed as

Magnetic Resonance ImagingMuscle, SkeletalMyositis, Inclusion BodyAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective Studiescluster analysisIBMinclusion body myositismuscle MRIparaspinal muscleswhole‐body imaging

Identifiers

PMID41549703
PMCPMC12813550

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Registered trials

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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.