ArticleScientific reports2022
Magnetic resonance imaging-based lower limb muscle evaluation in Charcot-Marie-Tooth disease type 1A patients and its correlation with clinical data.
Article in Scientific reports, 2022. 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, 7 citations in OpenAlex.
- Quantifying Disease Progression in Patients With Charcot-Marie-Tooth Neuropathy Type 1A Using Quantitative Muscle MRI and Clinical Outcomes.Neurology · 2026Article
- 3D Radiomic Texture Analysis of Quantitative Muscle MRI Enhances the Distinction Between Myotonic Dystrophy Type 1 and Charcot-Marie-Tooth Neuropathy Type 1A: A Proof-of-Concept Study.European journal of neurology · 2026Article
- Disease spectrum and long-term prognosis of patients with BAG3-associated neuromuscular diseases in Europe.Brain : a journal of neurology · 2025Article
- Evaluation of normalized T1 signal intensity obtained using an automated segmentation model in lower leg MRI as a potential imaging biomarker in Charcot-Marie-Tooth disease type 1 A.Scientific reports · 2025Article
- Automated Classification of Neuromuscular Diseases Using Thigh Muscle MRI With Model Interpretations.Journal of cachexia, sarcopenia and muscle · 2025Article
- Twelve-month change in quantitative MRI calf muscle fat fraction in CMT1A predicts clinical change over 4 years.Annals of clinical and translational neurology · 2025Article
- Fibro-adipogenic progenitors in physiological adipogenesis and intermuscular adipose tissue remodeling.Molecular aspects of medicine · 2024Review
- Efficient data labeling strategies for automated muscle segmentation in lower leg MRIs of Charcot-Marie-Tooth disease patients.PloS one · 2024Article
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We aimed to derive comprehensive MRI parameters that reflect intramuscular fat infiltration severity for designated lower extremity levels, based on semiquantitative analyses in Charcot-Marie-Tooth disease type 1A (CMT1A) patients. We reviewed lower extremity MRIs of 116 CMT1A patients. Intramuscular fat infiltration grading using the Mercuri scale was performed for the non-dominant lower extremity at three levels (proximal, mid, and distal) for the thigh and at two levels (proximal and distal) for the lower leg. Based on MRI results, the following parameters were calculated for each level and for entire muscles: fat infiltration proportion (FIP), significant fat infiltration proportion (SigFIP), and severe fat infiltration proportion (SevFIP). The relationships between the MRI parameters and clinical data were evaluated using Spearman's correlation analysis. FIP, SigFIP, and SevFIP measured for entire muscles significantly correlated with Charcot-Marie-Tooth Neuropathy Score (p < 0.001), functional disability scale (p < 0.001), 10-m walk test time (p = 0.0003, 0.0010, and 0.0011), and disease duration (p < 0.001). Similar correlations were demonstrated for FIP, SigFIP, and SevFIP acquired from the lower leg. Our MRI parameters obtained through semiquantitative analyses of muscles significantly correlated with clinical parameters in CMT1A patients, suggesting their potential applicability as imaging markers for clinical severity.
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