| Autor: |
Nathalie Wimmer, Hans‐Peter Müller, Patrick Metze, Volker Rasche, Albert C. Ludolph, Jan Kassubek |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Annals of Clinical and Translational Neurology, Vol 11, Iss 4, Pp 1000-1010 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2328-9503 |
| DOI: |
10.1002/acn3.52019 |
| Popis: |
Abstract Objective Monosynaptically cortically innervated α‐motoneurons are early and strongly involved in amyotrophic lateral sclerosis (ALS). Consequently, the muscles that receive the strongest direct corticomotoneuronal input are the clinically most affected. To objectify this concept in vivo through morphological image correlates, whole‐body magnetic resonance imaging (MRI) with muscle signal analysis was performed in patients with ALS compared to healthy controls. Methods Modified Dixon‐based whole‐body MRI was acquired in patients with ALS (n = 33) and matched healthy controls (n = 30). Manual labeling of limb muscle MRI was performed, and a specific subset of nine muscles, selected as pairs of muscle groups with different corticomotoneuronal input, was analyzed per subject based on their volume, fat fraction, and functional remaining muscle area (fRMA). Results Statistical analysis of 978 muscles in total revealed significantly decreased volumes, decreased fRMA, and increased fat fraction in the muscles of patients with ALS compared to controls. The clinical degree of pareses of directly innervated muscles was significantly worse than that of less directly innervated muscles in each comparison. The muscles receiving stronger direct corticomotoneuronal input showed more pronounced morphological involvement compared to those with less monosynaptic corticomotoneuronal input (fRMA, significant in three pairwise comparisons). Interpretation In conclusion, whole‐body MRI‐based muscle analysis provided additional evidence for a characteristic pattern of pareses in ALS. This technical approach (parameterization and quantification of muscle alterations from MRI) to patients with ALS could pave the way for the future establishment of a diagnostic algorithm of muscle MRI for ALS and may serve as a biomarker. |
| Databáze: |
Directory of Open Access Journals |
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