ArticleMuscle & nerve2020
Semi-automated volumetry of MRI serves as a biomarker in neuromuscular patients.
Article in Muscle & nerve, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Magnetic resonance imaging for adult idiopathic inflammatory myopathies: A scoping review of protocols, grading systems and applications.Seminars in arthritis and rheumatism · 2025Article
- The utility of muscle magnetic resonance imaging in idiopathic inflammatory myopathies: a scoping review.Frontiers in immunology · 2025Article
- Towards a better understanding of annotation tools for medical imaging: a survey.Multimedia tools and applications · 2022Article
- Volumetric MRI is a promising outcome measure of muscle reinnervation.Scientific reports · 2021Article
- Quantitative muscle MRI as a sensitive marker of early muscle pathology in myotonic dystrophy type 1.Muscle & nerve · 2021Article
- Semi-Automatic MRI Muscle Volumetry to Diagnose and Monitor Hereditary and Acquired Polyneuropathies.Brain sciences · 2021Article
- Overview of MR Image Segmentation Strategies in Neuromuscular Disorders.Frontiers in neurology · 2021Review
- The expanding role of MRI in neuromuscular disorders.Nature reviews. Neurology · 2020Article
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9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMuscle MRI is of increasing importance for neuromuscular patients to detect changes in muscle volume, fat-infiltration, and edema. We developed a method for semi-automated segmentation of muscle MRI datasets.
methodsAn active contour-evolution algorithm implemented within the ITK-SNAP software was used to segment T1-weighted MRI, and to quantify muscle volumes of neuromuscular patients (n = 65).
resultsSemi-automated compared with manual segmentation was shown to be accurate and time-efficient. Muscle volumes and ratios of thigh/lower leg volume were lower in myopathy patients than in controls (P < .0001; P < .05). We found a decrease of lower leg muscle volume in neuropathy patients compared with controls (P < .01), which correlated with clinical parameters. In myopathy patients, muscle volume showed a positive correlation with muscle strength (r
conclusionsOur method allows for exact and time-efficient quantification of muscle volumes with possible use as a biomarker in neuromuscular patients.
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