ArticleNMR in biomedicine2022
Multi-parametric quantitative magnetic resonance imaging of the upper arm muscles of patients with spinal muscular atrophy.
Article in NMR in biomedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Targeting the muscle-brain axis to improve post-stroke cognition via the FNDC5/irisin/BDNF pathway.Journal of advanced research · 2026Article
- Quantitative Whole-Body Muscle MRI in Adults With Spinal Muscular Atrophy-A Sensitive Tool for Long-Time Evaluation of Disease Progression.European journal of neurology · 2026Article
- Course of joint range of motion in children with spinal muscular atrophy receiving disease-modifying treatment.Orphanet journal of rare diseases · 2025Article
- Advancing personalized spinal muscular atrophy care: matching the right biomarker to the right patient at the right time.Journal of neurology · 2025Review
- Whole-body muscle MRI in patients with spinal muscular atrophy.Journal of neurology · 2025Article
- Pre- and post-skeletal muscle biopsy quantitative magnetic resonance imaging reveals correlations with histopathological findings.European journal of neurology · 2024Article
- Disrupted individual-level morphological brain network in spinal muscular atrophy types 2 and 3.CNS neuroscience & therapeutics · 2024Article
- Effects of isometric training and R.I.C.E. treatment on the arm muscle performance of swimmers with elbow pain.Scientific reports · 2024Article
- Biomarkers in 5q-associated spinal muscular atrophy-a narrative review.Journal of neurology · 2023Review
- Multi-parametric quantitative magnetic resonance imaging of the upper arm muscles of patients with spinal muscular atrophy.NMR in biomedicine · 2022Article
- Muscle quantitative MRI in adult SMA patients on nusinersen treatment: a longitudinal study.Acta myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology · 2022Article
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
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Abstract
Quantitative magnetic resonance imaging (qMRI) is frequently used to map the disease state and disease progression in the lower extremity muscles of patients with spinal muscular atrophy (SMA). This is in stark contrast to the almost complete lack of data on the upper extremity muscles, which are essential for carrying out daily activities. The aim of this study was therefore to assess the disease state in the upper arm muscles of patients with SMA in comparison with healthy controls by quantitative assessment of fat fraction, diffusion indices, and water T2 relaxation times, and to relate these measures to muscle force. We evaluated 13 patients with SMA and 15 healthy controls with a 3-T MRI protocol consisting of DIXON, diffusion tensor imaging, and T2 sequences. qMRI measures were compared between groups and related to muscle force measured with quantitative myometry. Fat fraction was significantly increased in all upper arm muscles of the patients with SMA compared with healthy controls and correlated negatively with muscle force. Additionally, fat fraction was heterogeneously distributed within the triceps brachii (TB) and brachialis muscle, but not in the biceps brachii muscle. Diffusion indices and water T2 relaxation times were similar between patients with SMA and healthy controls, but we did find a slightly reduced mean diffusivity (MD), λ1, and λ3 in the TB of patients with SMA. Furthermore, MD was positively correlated with muscle force in the TB of patients with SMA. The variation in fat fraction further substantiates the selective vulnerability of muscles. The reduced diffusion tensor imaging indices, along with the positive correlation of MD with muscle force, point to myofiber atrophy. Our results show the feasibility of qMRI to map the disease state in the upper arm muscles of patients with SMA. Longitudinal data in a larger cohort are needed to further explore qMRI to map disease progression and to capture the possible effects of therapeutic interventions.
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