Leveraging cardiac magnetic resonance imaging to assess skeletal muscle progression in Duchenne muscular dystrophy

Duchenne muscular dystrophy (DMD) is characterized by muscle deterioration and progressive weakness. As a result, patients with DMD have significant cardiopulmonary morbidity and mortality that worsens with age and loss of ambulation. Since most validated muscle assessments require ambulation, new functional measures of DMD progression are needed. Despite several evaluation methods available for monitoring disease progression, the relationship between these measures is unknown. We sought to assess the correlation between imaging metrics obtained from cardiac magnetic resonance imaging (CMR) and functional assessments including quantitative muscle testing (QMT), spirometry, and accelerometry. Forty-nine patients with DMD were enrolled and underwent CMR, accelerometry and QMT at baseline, 1-year and 2-year clinic visits with temporally associated pulmonary function testing obtained from the medical record. Imaging of the upper extremity musculature (triceps and biceps) demonstrated the most robust correlations with accelerometry (p <0.03), QMT (p <0.02) and spirometry (p <0.01). T-1-mapping of serratus anterior muscle showed a similar, but slightly weaker relationship with accelerometry and QMT. T-2 -mapping of serratus anterior demonstrated weak indirect correlation with aspects of accelerometry. These images are either routinely obtained in standard CMR or can be added to a protocol and may allow for a more comprehensive assessment of a patient's disease progression. (c) 2022 Elsevier B.V. All rights reserved.

Automated summary

Duchenne muscular dystrophy (DMD) is a progressive muscle disease that affects heart and lung function. This study aimed to investigate the relationship between cardiac magnetic resonance imaging (CMR) and functional assessments such as quantitative muscle testing (QMT), spirometry, and accelerometry in patients with DMD. The results showed that imaging of the upper extremity muscles had the strongest correlations with accelerometry, QMT, and spirometry.