Institute of Lightweight Design and Structural Biomechanics, TUW, Getreidemarkt 9/BE, Vienna, Austria.
Biomech Model Mechanobiol. 2018 Jun;17(3):843-852. doi: 10.1007/s10237-017-0996-1. Epub 2017 Dec 30.
A micro-finite element-based method to estimate the bone loading history based on bone architecture was recently presented in the literature. However, a thorough investigation of the parameter sensitivity and plausibility of this method to predict joint loads is still missing. The goals of this study were (1) to analyse the parameter sensitivity of the joint load predictions at one proximal femur and (2) to assess the plausibility of the results by comparing load predictions of ten proximal femora to in vivo hip joint forces measured with instrumented prostheses (available from www.orthoload.com ). Joint loads were predicted by optimally scaling the magnitude of four unit loads (inclined [Formula: see text] to [Formula: see text] with respect to the vertical axis) applied to micro-finite element models created from high-resolution computed tomography scans ([Formula: see text]m voxel size). Parameter sensitivity analysis was performed by varying a total of nine parameters and showed that predictions of the peak load directions (range 10[Formula: see text]-[Formula: see text]) are more robust than the predicted peak load magnitudes (range 2344.8-4689.5 N). Comparing the results of all ten femora with the in vivo loading data of ten subjects showed that peak loads are plausible both in terms of the load direction (in vivo: [Formula: see text], predicted: [Formula: see text]) and magnitude (in vivo: [Formula: see text], predicted: [Formula: see text]). Overall, this study suggests that micro-finite element-based joint load predictions are both plausible and robust in terms of the predicted peak load direction, but predicted load magnitudes should be interpreted with caution.
一种基于微观有限元的方法，可根据骨结构估计骨负荷历史，最近在文献中提出。然而，对于这种方法预测关节负荷的参数敏感性和合理性仍缺乏深入研究。本研究的目的是：（1）分析一种近端股骨的关节负荷预测的参数敏感性；（2）通过将十个近端股骨的负荷预测与使用带仪器的假体测量的体内髋关节力（可从 www.orthoload.com 获取）进行比较，评估结果的合理性。关节负荷通过最优缩放施加到微有限元模型的四个单位负荷（相对于垂直轴的倾斜[公式：见文本]至[公式：见文本]）的大小来预测，微有限元模型由高分辨率计算机断层扫描（[公式：见文本]m 体素大小）创建。通过总共改变九个参数进行参数敏感性分析，结果表明，预测峰值负荷方向（范围 10[公式：见文本]-[公式：见文本]）比预测峰值负荷幅度（范围 2344.8-4689.5 N）更稳健。将所有十个股骨的结果与十个受试者的体内加载数据进行比较表明，在负荷方向（体内：[公式：见文本]，预测：[公式：见文本]）和幅度（体内：[公式：见文本]，预测：[公式：见文本]）方面，峰值负荷都是合理的。总体而言，本研究表明，基于微观有限元的关节负荷预测在预测峰值负荷方向方面是合理且稳健的，但预测的负荷幅度应谨慎解释。
