ArticleAnnals of clinical and translational neurology2016
Longitudinal MRI quantification of muscle degeneration in Duchenne muscular dystrophy.
Article in Annals of clinical and translational neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 4 of them syntheses that pooled it.
What it found
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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.
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Who cites it
37 citing papers in PubMed, 4 syntheses or guidelines pooled it, 69 citations in OpenAlex.
- Predictors of Loss of Ambulation in Duchenne Muscular Dystrophy: A Systematic Review and Meta-Analysis.Journal of neuromuscular diseases · 2024Pooled it
- Using MRI to quantify skeletal muscle pathology in Duchenne muscular dystrophy: A systematic mapping review.Muscle & nerve · 2021Pooled it
- Quantifying skeletal muscle volume and shape in humans using MRI: A systematic review of validity and reliability.PloS one · 2018Pooled it
- Magnetic resonance imaging patterns of muscle involvement in genetic muscle diseases: a systematic review.Journal of neurology · 2017Pooled it
- Trial
- Relationship Between Quantitative Magnetic Resonance Imaging Measures and Functional Changes in Patients With Duchenne Muscular Dystrophy.Muscle & nerve · 2025Trial
- Dual-energy X-ray absorptiometry measures of lean body mass as a biomarker for progression in boys with Duchenne muscular dystrophy.Scientific reports · 2022Trial
- Quantitative magnetic resonance imaging measures as biomarkers of disease progression in boys with Duchenne muscular dystrophy: a phase 2 trial of domagrozumab.Journal of neurology · 2022Trial
- Early phase 2 trial of TAS-205 in patients with Duchenne muscular dystrophy.Annals of clinical and translational neurology · 2020Trial
- Human Disposition, Metabolism, and Excretion of Sevasemten (EDG-5506), a Selective Modulator of Fast Myosin in Healthy Volunteers.Journal of clinical pharmacology · 2026Article
- Radiomics with Ultrasound Radiofrequency Data for Improving Evaluation of Duchenne Muscular Dystrophy.Journal of imaging informatics in medicine · 2025Article
- Shape factor versus truncated cone-based quantification of quadriceps and hamstring muscle volumes-A choice between accuracy and precision.Physiological reports · 2025Article
- Longitudinal trajectories of muscle impairments in growing boys with Duchenne muscular dystrophy.PloS one · 2025Article
- Muscle fat infiltration: a narrative review of the magnetic resonance (MR)-based evaluation methods and their clinical applications.Quantitative imaging in medicine and surgery · 2024Review
- Draft Guidance for Industry Duchenne Muscular Dystrophy, Becker Muscular Dystrophy, and Related Dystrophinopathies - Developing Potential Treatments for the Entire Spectrum of Disease.Journal of neuromuscular diseases · 2024Article
- Severity of muscle impairment and its progression assessed using musculoskeletal magnetic resonance imaging and diffusion tension imaging in 78 boys with Duchenne muscular dystrophy: a retrospective study.Polish journal of radiology · 2024Article
- Clinical importance of changes in magnetic resonance biomarkers for Duchenne muscular dystrophy.Annals of clinical and translational neurology · 2024Article
- Longitudinal changes in magnetic resonance imaging biomarkers of the gluteal muscle groups and functional ability in Duchenne muscular dystrophy: a 12-month cohort study.Pediatric radiology · 2023Article
- Modulating fast skeletal muscle contraction protects skeletal muscle in animal models of Duchenne muscular dystrophy.The Journal of clinical investigation · 2023Article
- Longitudinal study of multi-parameter quantitative magnetic resonance imaging in Duchenne muscular dystrophy: hyperresponsiveness of gluteus maximus and detection of subclinical disease progression in functionally stable patients.Journal of neurology · 2023Article
Corrections and comments
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Authors and funding
20 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe aim of this study was to evaluate the usefulness of magnetic resonance imaging (MRI) in detecting the progression of Duchenne muscular dystrophy (DMD) by quantification of fat infiltration (FI) and muscle volume index (MVI, a residual-to-total muscle volume ratio).
methodsTwenty-six patients (baseline age: 5-12 years) with genetically proven DMD were longitudinally analyzed with lower limb 3T MRI, force measurements, and functional tests (Gowers, 10-m time, North Star Ambulatory Assessment, 6-min walking test). Five age-matched controls were also examined, with a total of 85 MRI studies. Semiquantitative (scores) and quantitative MRI (qMRI) analyses (signal intensity ratio - SIR, lower limb MVI, and individual muscle MVI) were carried out. Permutation and regression analyses according to both age and functional test-outcomes were calculated. Age-related quantitative reference curves of SIRs and MVIs were generated.
resultsFI was present on glutei and adductor magnus in all patients since the age of 5, with a proximal-to-distal progression and selective sparing of sartorius and gracilis. Patients' qMRI measures were significantly different from controls' and among age classes. qMRI were more sensitive than force measurements and functional tests in assessing disease progression, allowing quantification also after loss of ambulation. Age-related curves with percentile values were calculated for SIRs and MVIs, to provide a reference background for future experimental therapy trials. SIRs and MVIs significantly correlated with all clinical measures, and could reliably predict functional outcomes and loss of ambulation. INTERPRETATIONS: qMRI-based indexes are sensitive measures that can track the progression of DMD and represent a valuable tool for follow-up and clinical studies.
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Registered trials
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.