ArticlePediatric radiology2015
Effectiveness of diffusion tensor imaging in assessing disease severity in Duchenne muscular dystrophy: preliminary study.
Article in Pediatric radiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02708784 (Function, Structure and Quality of Striated Muscles in Patients With Muscular Diseases - an MRI Study on Pompe Disease and Dystrophia Myotonica), which is not on this map. Cited by 37 papers, 2 of them syntheses that pooled it.
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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.
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.
Function, Structure and Quality of Striated Muscles in Patients With Muscular Diseases - an MRI Study on Pompe Disease and Dystrophia Myotonica
Who cites it
37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 72 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
- Sarcopenia in type 2 diabetes mellitus: an imaging review.Frontiers in medicine · 2026Review
- Muscle Imaging Assessments in Sarcopenia: A Statement from China National Center for Orthopedics (NCO) and the East Meets West Action Group of the European Calcified Tissue Society (ECTS).Calcified tissue international · 2025Review
- Diffusion Tensor Imaging of Rat Rotator Cuff Muscle With Histopathological Correlation: An Exploratory Study.NMR in biomedicine · 2025Article
- From Voxels to Physiology: A Review of Diffusion Magnetic Resonance Imaging Applications in Skeletal Muscle.Journal of magnetic resonance imaging : JMRI · 2025Review
- Draft Guidance for Industry Duchenne Muscular Dystrophy, Becker Muscular Dystrophy, and Related Dystrophinopathies - Developing Potential Treatments for the Entire Spectrum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 applications of skeletal muscle diffusion tensor imaging.Skeletal radiology · 2023Review
- Review
- Diffusion-tensor magnetic resonance imaging captures increased skeletal muscle fibre diameters in Becker muscular dystrophy.Journal of cachexia, sarcopenia and muscle · 2023Article
- Inter-vendor and inter-observer reliability of diffusion tensor imaging in the musculoskeletal system: a multiscanner MR study.Insights into imaging · 2023Article
- Sarcopenia: imaging assessment and clinical application.Abdominal radiology (New York) · 2022Review
- Assessment of Myocardial Microstructure in a Murine Model of Obesity-Related Cardiac Dysfunction by Diffusion Tensor Magnetic Resonance Imaging at 7T.Frontiers in cardiovascular medicine · 2022Article
- Muscle architecture is associated with muscle fat replacement in Duchenne and Becker muscular dystrophies.Muscle & nerve · 2021Article
- Sonoelastography of the trunk and lower extremity muscles in a case of Duchenne muscular dystrophy.Journal of ultrasound · 2021Review
- Reproducibility of manual segmentation in muscle imaging.Acta myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology · 2021Article
- Quantitative Muscle MRI Protocol as Possible Biomarker in Becker Muscular Dystrophy.Clinical neuroradiology · 2021Article
- Muscle MRI in two SMA patients on nusinersen treatment: A two years follow-up.Journal of the neurological sciences · 2020Article
- Quantitative MRI of skeletal muscle in a cross-sectional cohort of patients with spinal muscular atrophy types 2 and 3.NMR in biomedicine · 2020Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is currently a lack of suitable objective endpoints to measure disease progression in Duchenne muscular dystrophy (DMD). Emerging research suggests that diffusion tensor imaging (DTI) has potential as an outcome measure for the evaluation of skeletal muscle injury.
objectiveThe objective of this study was to evaluate the potential of DTI as quantitative magnetic resonance imaging (MRI) markers of disease severity in DMD. MATERIALS AND
methodsThirteen consecutive boys (8.9 years ± 3.0 years) with DMD were evaluated using DTI. Fractional anisotropy (FA) and apparent diffusion coefficient (ADC) were compared with clinical outcome measures of manual muscle testing and MRI determinations of muscle fat fraction (MFF) in the right lower extremity.
resultsBoth MRI measures of FA and ADC strongly correlated with age and muscle strength. Values for FA positively correlated with age and negatively correlated with muscle strength (r = 0.78 and -0.96; both P ≤ 0.002) while measures of ADC negatively correlated age, but positively correlated with muscle strength (r = -0.87 and 0.83; both P ≤ 0.0004). Additionally, ADC and FA strongly correlated with MFF (r = -0.891 and 0.894, respectively; both P ≤ 0.0001). Mean MMF was negatively correlated with muscle strength (r = -0.89, P = 0.0001).
conclusionDTI measures of muscle structure strongly correlated with muscle strength and adiposity in boys with DMD in this pilot study, although these markers may be more reflective of fat replacement rather than muscle damage in later stages of the disease. Further studies in presymptomatic younger children are needed to assess the ability of DTI to detect early changes in DMD.
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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.