ArticleNeurology2021
Selection Approach to Identify the Optimal Biomarker Using Quantitative Muscle MRI and Functional Assessments in Becker Muscular Dystrophy.
Article in Neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 20 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.
GRASP-01-003: Trial Readiness and Endpoint Assessment in LGMD R1
Long-Term Development of Muscular Dystrophy Outcome Assessments (GRASP-01-005)
Who cites it
20 citing papers in PubMed, 26 citations in OpenAlex.
- Trial
- Characterization of patients with Becker muscular dystrophy by histology, magnetic resonance imaging, function, and strength assessments.Muscle & nerve · 2022Trial
- Quantifying Disease Progression in Patients With Charcot-Marie-Tooth Neuropathy Type 1A Using Quantitative Muscle MRI and Clinical Outcomes.Neurology · 2026Article
- Effects of sevasemten (EDG-5506) on safety, biomarkers, and functional measures in adults with Becker muscular dystrophy: results of a phase 1b, open-label study.EBioMedicine · 2026Article
- Elbow Flexors Muscle Fat Fraction Is a Sensitive and Relevant Outcome Measure in Nonambulant Patients With DMD.NMR in biomedicine · 2026Article
- Skeletal Muscle Membrane Permeability Markers Derived FromNMR in biomedicine · 2025Article
- Contrasting Becker and Duchenne muscular dystrophy serum biomarker candidates by using data independent acquisition LC-MS/MS.Skeletal muscle · 2025Article
- Multi-parameter quantitative magnetic resonance imaging for early detecting skeletal muscle involvement and predicting functional decline in children with Becker muscular dystrophy.Pediatric radiology · 2025Article
- Multi-parametric quantitative MRI of the lower limb muscles in a longitudinal study of limb-girdle muscular dystrophy R9.PloS one · 2025Article
- Lessons for future clinical trials in adults with Becker muscular dystrophy: Disease progression detected by muscle magnetic resonance imaging, clinical and patient-reported outcome measures.European journal of neurology · 2024Article
- Characterization of Phenotypic Variability in Becker Muscular Dystrophy for Clinical Practice and Towards Trial Readiness: A Two-Years Follow up Study.Journal of neuromuscular diseases · 2024Article
- 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
- Longitudinal Assessment of Creatine Kinase, Creatine/CreatinineNeurology · 2023Article
- Givinostat for Becker muscular dystrophy: A randomized, placebo-controlled, double-blind study.Frontiers in neurology · 2023Article
- Water T2 could predict functional decline in patients with dysferlinopathy.Journal of cachexia, sarcopenia and muscle · 2022Article
- 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
- Multi-parametric quantitative magnetic resonance imaging of the upper arm muscles of patients with spinal muscular atrophy.NMR in biomedicine · 2022Article
- Baseline fat fraction is a strong predictor of disease progression in Becker muscular dystrophy.NMR in biomedicine · 2022Article
- Body composition and myokines in a cohort of patients with Becker muscular dystrophy.Muscle & nerve · 2022Article
- Three-year quantitative magnetic resonance imaging and phosphorus magnetic resonance spectroscopy study in lower limb muscle in dysferlinopathy.Journal of cachexia, sarcopenia and muscle · 2022Article
Corrections and comments
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Authors and funding
12 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo identify the best quantitative fat-water MRI biomarker for disease progression of leg muscles in Becker muscular dystrophy (BMD) by applying a stepwise approach based on standardized response mean (SRM) over 24 months, correlations with baseline ambulatory tests, and reproducibility.
methodsDixon fat-water imaging was performed at baseline (n = 24) and 24 months (n = 20). Fat fractions (FF) were calculated for 3 center slices and the whole muscles for 19 muscles and 6 muscle groups. Contractile cross-sectional area (cCSA) was obtained from the center slice. Functional assessments included knee extension and flexion force and 3 ambulatory tests (North Star Ambulatory Assessment [NSAA], 10-meter run, 6-minute walking test). MRI measures were selected using SRM (≥0.8) and correlation with all ambulatory tests (ρ ≤ -0.8). Measures were evaluated based on intraclass correlation coefficient (ICC) and SD of the difference. Sample sizes were calculated assuming 50% reduction in disease progression over 24 months in a clinical trial with 1:1 randomization.
resultsMedian whole muscle FF increased between 0.2% and 2.6% without consistent cCSA changes. High SRMs and strong functional correlations were found for 8 FF but no cCSA measures. All measures showed excellent ICC (≥0.999) and similar SD of the interrater difference. Whole thigh 3 center slices FF was the best biomarker (SRM 1.04, correlations ρ ≤ -0.81, ICC 1.00, SD 0.23%, sample size 59) based on low SD and acquisition and analysis time.
conclusionIn BMD, median FF of all muscles increased over 24 months. Whole thigh 3 center slices FF reduced the sample size by approximately 40% compared to NSAA.
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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.