Significance of recumbent curvature in prediction of in-orthosis correction for adolescent idiopathic scoliosis

仰卧位 脊柱侧凸 曲率 医学 脊柱弯曲 柯布角 口腔正畸科 物理医学与康复 特发性脊柱侧凸 俯卧位 物理疗法 数学 几何学 外科 病理
作者
Chen He,Michael To,Chi-kwan Chan,Man Sang Wong
出处
期刊:Prosthetics and Orthotics International [Lippincott Williams & Wilkins]
卷期号:43 (2): 163-169 被引量:3
标识
DOI:10.1177/0309364618798172
摘要

Prediction of in-orthosis curvature at pre-orthosis stage is valuable for the treatment planning for adolescent idiopathic scoliosis, while the position of spinal curvature assessment that is effective for this prediction is still unknown.To compare the spinal curvatures in different body positions for predicting the spinal curvature rendered by orthosis.A prospective cohort study.Twenty-two patients with adolescent idiopathic scoliosis (mean Cobb angle: 28.1°± 7.3°) underwent ultrasound assessment of spinal curvature in five positions (standing, supine, prone, sitting bending, prone bending positions) and that within orthosis. Differences and correlations were analyzed between the spinal curvatures in the five positions and that within orthosis.The mean in-orthosis curvature was 11.2° while the mean curvatures in five studied positions were 18.7° (standing), 10.7° (supine), 10.7° (prone), -3.5° (prone bending), and -6.5° (sitting bending). The correlation coefficients of the in-orthosis curvature and that in five studied positions were r = 0.65 (standing), r = 0.76 (supine), r = 0.87 (prone), r = 0.41 (prone bending), and r = 0.36 (sitting bending).The curvature in recumbent positions (supine and prone) is highly correlated to the initial in-orthosis curvature without significant difference. Thus, the initial effect of spinal orthosis could be predicted by the curvature in the recumbent positions (especially prone position) at the pre-orthosis stage.Prediction of in-orthosis correction at pre-orthosis stage is valuable for spinal orthosis design. This study suggests assessing the spinal curvature in recumbent position (especially prone position) to predict the initial in-orthosis correction for optimizing the orthosis design.

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