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

Autor: 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
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Neurology
ISSN: 1526-632X
0028-3878
Popis: 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.
Databáze: OpenAIRE