Details

Autor(en) / Beteiligte

• Klickovic, Uros
• Zampedri, Luca
• Sinclair, Christopher D J
• Wastling, Stephen J
• Trimmel, Karin
• Howard, Robin S
• Malaspina, Andrea
• Sharma, Nikhil
• Sidle, Katie
• Emira, Ahmed
• Shah, Sachit
• Yousry, Tarek A
• Hanna, Michael G
• Greensmith, Linda
• Morrow, Jasper M
• Thornton, John S
• Fratta, Pietro

Titel

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

Ist Teil von

• Neurology, 2019-08, Vol.93 (9), p.e895

Ort / Verlag

United States

Erscheinungsjahr

2019

Quelle

MEDLINE

Beschreibungen/Notizen

• To 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). We 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. Quantitative imaging revealed significant fat infiltration in bulbar ( < 0.001) and limb muscles in SBMA compared to controls (thigh: < 0.001; calf: = 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. Our 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.