Estimation of gastrocnemius muscle volume using ultrasonography in children with spastic cerebral palsy

Eun Sook Park1, Eungeol Sim1, Dong-Wook Rha1

  • 1Department of Rehabilitation Medicine, Severance Hospital, Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul, Korea.

Insights

Ultrasonography and anthropometry can estimate gastrocnemius muscle volume in children with spastic cerebral palsy. Anatomical cross-sectional area is a more useful parameter than muscle thickness for these estimations.

Area of Science:

  • Biomedical Engineering
  • Pediatric Rehabilitation
  • Musculoskeletal Ultrasound

Background:

  • Spastic cerebral palsy (CP) often affects lower limb musculature, impacting motor function.
  • Accurate assessment of gastrocnemius muscle volume (MV) is crucial for understanding muscle changes in CP.
  • Non-invasive methods are needed to complement traditional imaging like MRI.

Purpose of the Study:

  • To identify reliable parameters for estimating gastrocnemius muscle volume (MV) in children with spastic CP.
  • To evaluate the utility of ultrasonography (US) and anthropometry for MV estimation.
  • To compare the predictive value of muscle thickness (MT) and anatomical cross-sectional area (aCSA) for GCM MV.

Main Methods:

  • Investigated 18 legs from 9 children (aged 2-6 years) with spastic CP.
  • Measured tibial length (TL) and used US to assess GCM muscle thickness (MT) and anatomical cross-sectional area (aCSA).
  • Compared US-derived parameters and TL with GCM MV measured by MRI, using regression analyses.

Main Results:

  • Resting MT, aCSA, and TL showed strong correlations with GCM MV (r² from 0.591 to 0.903).
  • aCSA demonstrated higher predictive accuracy for MV than MT.
  • Multiple regression models yielded higher r² values but with significant standard errors (15.5-25.6%).

Conclusions:

  • Ultrasonography assessment of aCSA and MT, combined with TL, is suitable for estimating GCM MV in children with spastic CP.
  • aCSA is a more valuable parameter than MT for predicting GCM MV in this population.
  • US offers a practical alternative for GCM MV assessment in pediatric CP.
Abstract

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