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基于磁共振成像对成人、儿童及脑瘫患者髋关节中心的预测。

Prediction of the hip joint centre in adults, children, and patients with cerebral palsy based on magnetic resonance imaging.

作者信息

Harrington M E, Zavatsky A B, Lawson S E M, Yuan Z, Theologis T N

机构信息

The Oxford Gait Laboratory, Nuffield Orthopaedic Centre, Oxford, UK.

出版信息

J Biomech. 2007;40(3):595-602. doi: 10.1016/j.jbiomech.2006.02.003. Epub 2006 Apr 3.

Abstract

The location of the hip joint centre (HJC) is required for calculations of hip moments, the location and orientation of the femur, and muscle lengths and lever arms. In clinical gait analysis, the HJC is normally estimated using regression equations based on normative data obtained from adult populations. There is limited relevant anthropometric data available for children, despite the fact that clinical gait analysis is predominantly used for the assessment of children with cerebral palsy. In this study, pelvic MRI scans were taken of eight adults (ages 23-40), 14 healthy children (ages 5-13) and 10 children with spastic diplegic cerebral palsy (ages 6-13). Relevant anatomical landmarks were located in the scans, and the HJC location in pelvic coordinates was found by fitting a sphere to points identified on the femoral head. The predictions of three common regression equations for HJC location were compared to those found directly from MRI. Maximum absolute errors of 31 mm were found in adults, 26 mm in children, and 31 mm in the cerebral palsy group. Results from regression analysis and leave-one-out cross-validation techniques on the MRI data suggested that the best predictors of HJC location were: pelvic depth for the antero-posterior direction; pelvic width and leg length for the supero-inferior direction; and pelvic depth and pelvic width for the medio-lateral direction. For single-variable regression, the exclusion of leg length and pelvic depth from the latter two regression equations is proposed. Regression equations could be generalised across adults, children and the cerebral palsy group.

摘要

髋关节中心(HJC)的位置对于计算髋关节力矩、股骨的位置和方向以及肌肉长度和力臂是必需的。在临床步态分析中,HJC通常使用基于从成人人群获得的标准数据的回归方程来估计。尽管临床步态分析主要用于评估脑瘫儿童,但可用于儿童的相关人体测量数据有限。在本研究中,对8名成年人(年龄23 - 40岁)、14名健康儿童(年龄5 - 13岁)和10名痉挛性双侧脑瘫儿童(年龄6 - 13岁)进行了骨盆MRI扫描。在扫描中确定了相关的解剖标志,并通过将球体拟合到在股骨头确定的点来找到骨盆坐标中的HJC位置。将HJC位置的三个常见回归方程的预测结果与直接从MRI获得的结果进行了比较。在成年人中发现最大绝对误差为31毫米,儿童为26毫米,脑瘫组为31毫米。对MRI数据的回归分析和留一法交叉验证技术的结果表明,HJC位置的最佳预测因素是:前后方向为骨盆深度;上下方向为骨盆宽度和腿长;内外方向为骨盆深度和骨盆宽度。对于单变量回归,建议从后两个回归方程中排除腿长和骨盆深度。回归方程可以在成年人、儿童和脑瘫组中推广。

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