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Skeletal muscle MRI differentiates SBMA and ALS and correlates with disease severity

Authors :
Pietro Fratta
Andrea Malaspina
Robin Howard
Karin Trimmel
Luca Zampedri
Ahmed Emira
Nikhil Sharma
John S. Thornton
Jasper M. Morrow
Linda Greensmith
Tarek A. Yousry
Katie Sidle
Stephen J. Wastling
Uros Klickovic
Michael G. Hanna
Christopher D. J. Sinclair
Sachit Shah
Source :
Neurology
Publication Year :
2019
Publisher :
Lippincott Williams & Wilkins, 2019.

Abstract

ObjectiveTo investigate the use of muscle MRI for the differential diagnosis and as a disease progression biomarker for 2 major forms of motor neuron disorders: spinal bulbar muscular atrophy (SBMA) and amyotrophic lateral sclerosis (ALS).MethodsWe applied quantitative 3-point Dixon and semiquantitative T1-weighted and short tau inversion recovery (STIR) imaging to bulbar and lower limb muscles and performed clinical and functional assessments in ALS (n = 21) and SBMA (n = 21), alongside healthy controls (n = 16). Acquired images were analyzed for the presence of fat infiltration or edema as well as specific patterns of muscle involvement. Quantitative MRI measurements were correlated with clinical measures of disease severity in ALS and SBMA.ResultsQuantitative imaging revealed significant fat infiltration in bulbar (p < 0.001) and limb muscles in SBMA compared to controls (thigh: p < 0.001; calf: p = 0.001), identifying a characteristic pattern of muscle involvement. In ALS, semiquantitative STIR imaging detected marked hyperintensities in lower limb muscles, distinguishing ALS from SBMA and controls. Finally, MRI measurements correlated significantly with clinical scales of disease severity in both ALS and SBMA.ConclusionsOur findings show that muscle MRI differentiates between SBMA and ALS and correlates with disease severity, supporting its use as a diagnostic tool and biomarker for disease progression. This highlights the clinical utility of muscle MRI in motor neuron disorders and contributes to establish objective outcome measures, which is crucial for the development of new drugs.

Details

Language :
English
ISSN :
1526632X and 00283878
Volume :
93
Issue :
9
Database :
OpenAIRE
Journal :
Neurology
Accession number :
edsair.doi.dedup.....c456caa7b3b98b04d07fc8497d3c504d