Comparison of eight published static finite element models of the intact lumbar spine: Predictive power of models improves when combined together

面(心理学) 小关节 生物力学 人口 接头(建筑物) 有限元法 腰椎 椎间盘 机械 数学 材料科学 生物医学工程 结构工程 解剖 物理 医学 工程类 心理学 五大性格特征 人格 环境卫生 社会心理学
作者
Marcel Dreischarf,Thomas Zander,A. Shirazi-Adl,Christian M. Puttlitz,Clayton J. Adam,C.S. Chen,Vijay K. Goel,Ali Kiapour,Yong Ha Kim,Kevin M. Labus,J. Paige Little,W.M. Park,Y.H. Wang,Hans‐Joachim Wilke,A. Rohlmann,Hendrik Schmidt
出处
期刊:Journal of Biomechanics [Elsevier BV]
卷期号:47 (8): 1757-1766 被引量:347
标识
DOI:10.1016/j.jbiomech.2014.04.002
摘要

Finite element (FE) model studies have made important contributions to our understanding of functional biomechanics of the lumbar spine. However, if a model is used to answer clinical and biomechanical questions over a certain population, their inherently large inter-subject variability has to be considered. Current FE model studies, however, generally account only for a single distinct spinal geometry with one set of material properties. This raises questions concerning their predictive power, their range of results and on their agreement with in vitro and in vivo values. Eight well-established FE models of the lumbar spine (L1-5) of different research centers around the globe were subjected to pure and combined loading modes and compared to in vitro and in vivo measurements for intervertebral rotations, disc pressures and facet joint forces. Under pure moment loading, the predicted L1-5 rotations of almost all models fell within the reported in vitro ranges, and their median values differed on average by only 2° for flexion-extension, 1° for lateral bending and 5° for axial rotation. Predicted median facet joint forces and disc pressures were also in good agreement with published median in vitro values. However, the ranges of predictions were larger and exceeded those reported in vitro, especially for the facet joint forces. For all combined loading modes, except for flexion, predicted median segmental intervertebral rotations and disc pressures were in good agreement with measured in vivo values. In light of high inter-subject variability, the generalization of results of a single model to a population remains a concern. This study demonstrated that the pooled median of individual model results, similar to a probabilistic approach, can be used as an improved predictive tool in order to estimate the response of the lumbar spine.
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