人体肋骨生物力学的概率有限元分析:提高通用性的框架。

IF 3 2区 医学 Q3 ENGINEERING, BIOMEDICAL
Vivek Bhaskar Kote, Lance L Frazer, Avani Shukla, Ashley Bailly, Sydney Hicks, Derek A Jones, Drew D DiSerafino, Matthew L Davis, Daniel P Nicolella
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引用次数: 0

摘要

在动态撞击事件中,胸部损伤往往涉及肋骨骨折,这与损伤的严重程度密切相关。以往的研究调查了孤立肋骨在冲击载荷条件下的行为,但往往忽略了解剖形状和组织材料特性的变化。在本研究中,我们使用概率有限元分析和统计形状建模来研究肋骨皮质骨组织机械性能和肋骨形状的全人群变异性对肋骨在冲击载荷下生物力学响应的影响。利用概率有限元分析结果,生成了一个响应面模型,以快速研究在肋骨形态和组织材料特性存在变异的情况下,孤立肋骨在前后动态载荷作用下的生物力学响应。响应面用于生成整体人群和中老年男性人群子群的骨折前力-位移计算走廊。与实验数据相比,总体和分组的计算平均响应均方根误差分别为 4.28N(峰值力 94N)和 6.11N(峰值力 116N),而在比较实验和计算走廊时,总体的归一化面积指标为 3.32% 至 22.65%,分组的归一化面积指标为 10.90% 至 32.81%。此外,还计算了概率敏感性,对相关参数的不确定性和可变性的贡献进行了量化。研究发现,肋骨皮质骨弹性模量、肋骨形态测量和皮质厚度是在预测力-位移响应中产生最大变异的随机变量。所提出的框架为计算代表性人群的生物变异性提供了一种新方法,并有可能提高生物力学研究结果的普适性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Probabilistic Finite Element Analysis of Human Rib Biomechanics: A Framework for Improved Generalizability.

Probabilistic Finite Element Analysis of Human Rib Biomechanics: A Framework for Improved Generalizability.

In dynamic impact events, thoracic injuries often involve rib fractures, which are closely related to injury severity. Previous studies have investigated the behavior of isolated ribs under impact loading conditions, but often neglected the variability in anatomical shape and tissue material properties. In this study, we used probabilistic finite element analysis and statistical shape modeling to investigate the effect of population-wide variability in rib cortical bone tissue mechanical properties and rib shape on the biomechanical response of the rib to impact loading. Using the probabilistic finite element analysis results, a response surface model was generated to rapidly investigate the biomechanical response of an isolated rib under dynamic anterior-posterior load given the variability in rib morphometry and tissue material properties. The response surface was used to generate pre-fracture force-displacement computational corridors for the overall population and a population sub-group of older mid-sized males. When compared to the experimental data, the computational mean response had a RMSE of 4.28N (peak force 94N) and 6.11N (peak force 116N) for the overall population and sub-group respectively, whereas the normalized area metric when comparing the experimental and computational corridors ranged from 3.32% to 22.65% for the population and 10.90% to 32.81% for the sub-group. Furthermore, probabilistic sensitivities were computed in which the contribution of uncertainty and variability of the parameters of interest was quantified. The study found that rib cortical bone elastic modulus, rib morphometry and cortical thickness are the random variables that produce the largest variability in the predicted force-displacement response. The proposed framework offers a novel approach for accounting biological variability in a representative population and has the potential to improve the generalizability of findings in biomechanical studies.

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来源期刊
Annals of Biomedical Engineering
Annals of Biomedical Engineering 工程技术-工程:生物医学
CiteScore
7.50
自引率
15.80%
发文量
212
审稿时长
3 months
期刊介绍: Annals of Biomedical Engineering is an official journal of the Biomedical Engineering Society, publishing original articles in the major fields of bioengineering and biomedical engineering. The Annals is an interdisciplinary and international journal with the aim to highlight integrated approaches to the solutions of biological and biomedical problems.
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