ArticleSkeletal radiology2012
Muscle fat-fraction and mapping in Duchenne muscular dystrophy: evaluation of disease distribution and correlation with clinical assessments. Preliminary experience.
Article in Skeletal radiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 2 of them syntheses that pooled it.
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Who cites it
67 citing papers in PubMed, 2 syntheses or guidelines pooled it, 126 citations in OpenAlex.
- Using MRI to quantify skeletal muscle pathology in Duchenne muscular dystrophy: A systematic mapping review.Muscle & nerve · 2021Pooled it
- Magnetic resonance imaging patterns of muscle involvement in genetic muscle diseases: a systematic review.Journal of neurology · 2017Pooled it
- Relationship Between Quantitative Magnetic Resonance Imaging Measures and Functional Changes in Patients With Duchenne Muscular Dystrophy.Muscle & nerve · 2025Trial
- Longitudinal functional and NMR assessment of upper limbs in Duchenne muscular dystrophy.Neurology · 2016Trial
- Trial
- Elbow Flexors Muscle Fat Fraction Is a Sensitive and Relevant Outcome Measure in Nonambulant Patients With DMD.NMR in biomedicine · 2026Article
- Quantitative MRI Findings and Their Relationship to Muscle Histopathology and Ambulatory Clinical Function in Duchenne Muscular Dystrophy.Journal of cachexia, sarcopenia and muscle · 2026Article
- FAPs orchestrate homeostasis of muscle physiology and pathophysiology.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024Review
- Five multivariate Duchenne muscular dystrophy progression models bridging six-minute walk distance and MRI relaxometry of leg muscles.Journal of pharmacokinetics and pharmacodynamics · 2024Article
- Skeletal muscle symptoms and quantitative MRI in females with dystrophinopathy.Muscle & nerve · 2024Article
- T1 relaxation: Chemo-physical fundamentals of magnetic resonance imaging and clinical applications.Insights into imaging · 2024Review
- Classification of Muscular Dystrophies from MR Images Improves Using the Swin Transformer Deep Learning Model.Bioengineering (Basel, Switzerland) · 2024Article
- Dimethyl fumarate modulates the dystrophic disease program following short-term treatment.JCI insight · 2023Article
- Decellularization-Based Quantification of Skeletal Muscle Fatty Infiltration.Journal of visualized experiments : JoVE · 2023Article
- MMECommunications biology · 2023Article
- Magnetic resonance imaging-based lower limb muscle evaluation in Charcot-Marie-Tooth disease type 1A patients and its correlation with clinical data.Scientific reports · 2022Article
- Adipogenic Differentiation Alters Properties of Vascularized Tissue-Engineered Skeletal Muscle.Tissue engineering. Part A · 2022Article
- Muscular and Tendon Degeneration after Achilles Rupture: New Insights into Future Repair Strategies.Biomedicines · 2021Article
- Magnetism of materials: theory and practice in magnetic resonance imaging.Insights into imaging · 2021Review
- Fibro-adipogenic progenitors in skeletal muscle homeostasis, regeneration and diseases.Open biology · 2021Review
7 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo examine the usefulness of dual-echo dual-flip angle spoiled gradient recalled (SPGR) magnetic resonance imaging (MRI) technique in quantifying muscle fat fraction (MFF) of pelvic and thighs muscles as a marker of disease severity in boys with Duchenne muscular dystrophy (DMD), by correlating MFF calculation with clinical assessments. We also tried to identify characteristic patterns of disease distribution. MATERIALS AND
methodsTwenty consecutive boys (mean age, 8.6 years ± 2.3 [standard deviation, SD]; age range, 5-15 years; median age, 9 years;) with DMD were evaluated using a dual-echo dual-flip angle SPGR MRI technique, calculating muscle fat fraction (MFF) of eight muscles in the pelvic girdle and thigh (gluteus maximus, adductor magnus, rectus femoris, vastus lateralis, vastus medialis, biceps femoris, semitendinosus, and gracilis). Color-coded parametric maps of MFF were also obtained. A neurologist who was blinded to the MRI findings performed the clinical assessments (patient age, Medical Research Council score, timed Gower score, time to run 10 m). The relationships between mean MFF and clinical assessments were investigated using Spearman's rho coefficient. Positive and negative correlations were evaluated and considered significant if the P value was < 0.05.
resultsThe highest mean MFF was found in the gluteus maximus (mean, 46.3 % ± 24.5 SD), whereas the lowest was found in the gracilis muscle (mean, 2.7 % ± 4.7 SD). Mean MFF of the gluteus maximus was significantly higher than that of the other muscles (P < 0.01), except for the adductor magnus and biceps muscles. A significant positive correlation was found between the mean MFF of all muscles and the patients age (20 patients; P < 0.005), Medical Research Council score (19 patients; P < 0.001), timed Gower score (17 patients; P < 0.03), and time to run 10 m (20 patients; P < 0.001). A positive correlation was also found between the mean MFF of the gluteus maximus muscle and the timed Gower score. Color-coded maps provided an efficient visual assessment of muscle fat content and its heterogeneous distribution.
conclusionMuscle fat fraction calculation and mapping using the dual-echo dual-flip angle SPGR MRI technique are useful markers of disease severity and permit patterns of disease distribution to be identified in patients with DMD.
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