ArticleAmerican journal of translational research2026
Application of high-frequency musculoskeletal ultrasound combined with shear wave elastography in assessing paravertebral muscle morphology in adolescents with idiopathic scoliosis.
Article in American journal of translational research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
objectivesTo evaluate the clinical utility of high-frequency musculoskeletal ultrasound combined with shear wave elastography (SWE) in assessing paravertebral muscle asymmetry in adolescents with adolescent idiopathic scoliosis (AIS), and to investigate its relationship with Cobb angle across different body positions.
methodsA total of 100 adolescents with AIS (mean age: 12.81 ± 1.86 years) were included. Ultrasound examinations were performed at the upper, apex, and lower vertebrae in both standing and prone positions using ALOKA ARIETTA 60 and 850 systems. Muscle parameters (transverse diameter, anteroposterior diameter, circumference, and area) and SWE values were measured. Differences between concave and convex sides were analyzed, and correlations with Cobb angle were assessed using SPSS 27.0 and R 4.3.1.
resultsSignificant asymmetry in paravertebral muscle parameters was observed at all vertebral levels, particularly at the apex (P<0.05). SWE demonstrated significantly higher muscle stiffness on the concave side (P<0.05). Stronger correlations between muscle asymmetry and Cobb angle were found in the standing position, with area showing the highest correlation coefficients. Compared with the prone position, standing measurements more accurately reflected scoliosis severity.
conclusionsHigh-frequency musculoskeletal ultrasound combined with SWE is an effective, non-invasive method for evaluating paravertebral muscle asymmetry in AIS. The standing position provides more clinically relevant information, and muscle asymmetry is strongly associated with Cobb angle. This technique may support improved diagnosis, monitoring, and individualized treatment planning in AIS.
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