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Quantitative analysis and prediction of corrective force in scoliosis brace-treated patients

  • Jiahao Li
  • , Junchen Wang
  • , Baoduo Geng
  • , Qi Han
  • , Lizhi Song
  • , Xiaomin Liu
  • , Huixia He
  • , Hongwei Li*
  • , Yu Zhao*
  • *此作品的通讯作者
  • Chinese Academy of Medical Sciences
  • Beihang University
  • Xi'an Jiaotong University
  • Beijing Lizhi Rehabilitation Aids Center
  • Beijing University of Technology

科研成果: 期刊稿件文章同行评审

摘要

Background: A lack of quantitative approaches in brace treatment exists for patients with adolescent idiopathic scoliosis (AIS). This study aimed to explore the effective application of corrective forces in treatment, thus developing a theoretical basis for quantitative corrective force in the treatment of scoliosis patients. Patients and Methods: A total of 30 AIS patients undergoing scoliosis brace treatment were incorporated in the study. A force-sensing and data-acquisition system was employed to collect corrective force data during standardized movements performed by patients in different postures. Statistical analysis was conducted using SPSS 26.0 software with a significance level of α = 0.05. Results: The cohort included 6 males (20%) and 24 females (80%), with a mean age of 14.53 ± 1.43 years. The major curve locations were as follows: thoracic (26.67%), lumbar (56.67%), and thoracolumbar (16.67%). The mean brace treatment duration was 13.87 ± 11.96 months. The initial Cobb angle was 32 ± 5°, with a reduction of 8 ± 6° post-treatment. There was a significant correlation between corrective forces in sitting and standing (P < 0.001, R2 = 0.7093) and sitting/walking postures (P < 0.001, R2 = 0.7751). A multiple linear regression identified gender, age, and Risser grade as key corrective strength factors. It was demonstrated that movement significantly affected corrective force. Conclusions: This study quantified the corrective force in adolescent idiopathic scoliosis patients, revealing that a force exceeding 40 N is typically applied at the apex of the major curve. A prediction formula based on gender, age, Risser grade, and vertex position was established, which is expected to be guide the development of quantitative bracing protocols.

源语言英语
文章编号18
期刊Med-X
3
1
DOI
出版状态已出版 - 12月 2025

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