ArticlePhysical therapy2015
Longitudinal Evaluation of Muscle Composition Using Magnetic Resonance in 4 Boys With Duchenne Muscular Dystrophy: Case Series.
Article in Physical therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01484678 (Magnetic Resonance Imaging and Biomarkers for Muscular Dystrophy), which is not on this map. Cited by 5 papers.
What it found
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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.
Magnetic Resonance Imaging and Biomarkers for Muscular Dystrophy
Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Longitudinal functional and NMR assessment of upper limbs in Duchenne muscular dystrophy.Neurology · 2016Trial
- Ambulatory Duchenne muscular dystrophy children: cross-sectional correlation between function, quantitative muscle ultrasound and MRI.Acta myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology · 2022Article
- Longitudinal MRI quantification of muscle degeneration in Duchenne muscular dystrophy.Annals of clinical and translational neurology · 2016Article
- Circulating miRNAs are generic and versatile therapeutic monitoring biomarkers in muscular dystrophies.Scientific reports · 2016Article
- Assessment and management of respiratory function in patients with Duchenne muscular dystrophy: current and emerging options.Therapeutics and clinical risk management · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 8 institutions in 4 countries.
Funding
Abstract
backgroundDuchenne muscular dystrophy (DMD), an inherited recessive X chromosome-linked disease, is the most severe childhood form of muscular dystrophy. Boys with DMD experience muscle loss, with infiltration of intramuscular fat into muscles.
objectivesThis case series describes the progression of DMD in boys using magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS). Magnetic resonance results are then compared with an established functional timed test.
methodsFour boys with DMD and 4 healthy age-matched controls were chosen from a larger cohort. Boys with DMD were assessed at 4 time points over 2 years, with controls assessed at baseline only. Progression of the disease was documented by assessing the plantar flexors using MRI and MRS techniques and by assessing ambulation using the 30-Foot Fast Walk Test.
resultsTransverse relaxation time (T2) values were elevated in all boys with DMD at baseline. The lipid ratio increased rapidly as the disease progressed in 2 boys. Discrete changes in T2 in the other 2 boys with DMD indicated a slower disease progression. Magnetic resonance imaging and MRS allowed monitoring of the disease over all time periods regardless of ambulation status. LIMITATIONS: The magnetic resonance data were collected with 2 different magnets at 2 different field strengths (1.5 and 3.0 T). Although we corrected for this difference, care must be taken in interpreting data when different image collection systems are used. This was a case series of 4 boys with DMD taken from a larger cohort study.
conclusionsMagnetic resonance imaging and MRS are objective, noninvasive techniques for measuring muscle pathology and can be used to detect discrete changes in both people who are ambulatory and those who are nonambulatory. These techniques should be considered when monitoring DMD progression and assessing efficacy of therapeutic interventions.
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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.