ArticleJournal of neuromuscular diseases2024
Quantitative muscle MRI in sporadic inclusion body myositis (sIBM): A prospective cohort study.
Article in Journal of neuromuscular diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Muscle MRI and Muscle Ultrasound Applications in MND/ALS: Academic Insights and Clinical Opportunities.European journal of neurology · 2026Pooled it
- Efficacy and safety of pharmacological treatments in inclusion body myositis: a systematic review.RMD open · 2025Pooled it
- Standardizing quantitative muscle MRI: an inter-vendor evaluation in healthy adults.Magma (New York, N.Y.) · 2026Article
- Quantitative Guanidinium CEST-Based pH Mapping at 3 T in Healthy and Pathological Muscle.NMR in biomedicine · 2026Article
- Time-efficient coronal MRI reflects clinical and pathological features of myopathies.Journal of neuromuscular diseases · 2026Article
- Semi-quantitative analyses of muscle magnetic resonance imaging for pattern recognition in early idiopathic inflammatory myopathies.Journal of neuromuscular diseases · 2026Article
- Natural history of facioscapulohumeral muscular dystrophy evaluated by multiparametric quantitative MRI: a prospective cohort study.Journal of neurology · 2025Article
- Fasciculation distribution in a healthy population assessed with diffusion tensor imaging.Physiological reports · 2025Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Sporadic inclusion body myositis (sIBM) is the predominant idiopathic inflammatory myopathy (IIM) in older people. Limitations of classical clinical assessments have been discussed as possible explanations for failed clinical trials, underlining the need for more sensitive outcome measures. Quantitative muscle MRI (qMRI) is a promising candidate for evaluating and monitoring sIBM. Objective: Longitudinal assessment of qMRI in sIBM patients. Methods: We evaluated fifteen lower extremity muscles of 12 sIBM patients (5 females, mean age 69.6, BMI 27.8) and 12 healthy age- and gender-matched controls. Seven patients and matched controls underwent a follow-up evaluation after one year. Clinical assessment included testing for muscle strength with Quick Motor Function Measure (QMFM), IBM functional rating scale (IBM-FRS), and gait analysis (6-minute walking distance). 3T-MRI scans of the lower extremities were performed, including a Dixon-based sequence, T2 mapping and Diffusion Tensor Imaging. The qMRI-values fat-fraction (FF), water T2 relaxation time (wT2), fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (λ1), and radial diffusivity (RD) were analysed. Results: Compared to healthy controls, significant differences for all qMRI parameters averaged over all muscles were found in sIBM using a MANOVA (p < 0.001). In low-fat muscles (FF < 10%), a significant increase of wT2 and FA with an accompanying decrease of MD, λ1, and RD was observed (p≤0.020). The highest correlation with clinical assessments was found for wT2 values in thigh muscles (r≤-0.634). Significant changes of FF (+3.0%), wT2 (+0.6 ms), MD (-0.04 10-3mm2/s), λ1 (-0.05 10-3mm2/s), and RD (-0.03 10-3mm2/s) were observed in the longitudinal evaluation of sIBM patients (p≤0.001). FA showed no significant change (p = 0.242). Conclusion: qMRI metrics correlate with clinical findings and can reflect different ongoing pathophysiological mechanisms. While wT2 is an emerging marker of disease activity, the role of diffusion metrics, possibly reflecting changes in fibre size and intracellular deposits, remains subject to further investigations.
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