Reliability of muscle architecture assessment using clinical ultrasound in post-stroke patients: a systematic review
摘要
Alterations in skeletal muscle architecture following stroke-induced neural injury serve as a major contributor to post-stroke motor impairment. Ultrasound has demonstrated promising potential for muscle assessment, however, its reliability in evaluating muscle in post-stroke patients was not systematically investigated. This systematic review aimed to synthesize available data on the reliability of ultrasound-based measurements of muscle architecture in post-stroke patients.
MethodsLiterature searches were conducted across PubMed, Medline, CNKI, Embase, and Wed of Science using keywords of ultrasound (ultrasonic/echotomography) and stroke. Studies were included if they focused on the reliability of ultrasound-based muscle measurements in post-stroke patients. Data on reliability was extracted. Methodological quality was evaluated using a checklist proposed by Pretorius and Keating. The overall level of evidence was also determined.
ResultsOf the 130,484 initial records identified, 13 studies were included. Among these, 12 were rated as high quality and 1 as low quality. Ultrasound demonstrated moderate-to-excellent reliability for measuring both muscle thickness and pennation angle in the gastrocnemius and tibialis anterior (TA) muscles, with intra-class correlation coefficient (ICC) values ranging from 0.69 to 0.99, supported by strong evidence. Furthermore, it exhibited good-to-excellent reliability in assessing both cross-sectional area (ICC = 0.76–0.97 in gastrocnemius, biceps brachii, and flexor digitorum superficialis/profundus) and muscle length (ICC = 0.89–0.98 in TA, gastrocnemius, and biceps brachii), supported by moderate evidence. Similarly, moderate evidence also supported excellent reliability of ultrasound in assessing muscle volume in the TA (ICC > 0.90).
ConclusionsUltrasound generally demonstrated moderate-to-excellent reliability for measuring muscle architecture parameters, including muscle thickness, pennation angle, cross-sectional area, muscle volume, and length, across various muscles in post-stroke patients, with supporting evidence rating from moderate to strong.