颈椎形态和韧带特性变化对矢状弯曲特性影响的有限元研究。

PubMed ID
G H
发表日期 2019年03月

原始出处 生物力学杂志
Journal of biomechanics
作者 John  Jobin D  Saravana Kumar  Gurunathan  Yoganandan  Narayan 

文献标题 颈椎形态和韧带特性变化对矢状弯曲特性影响的有限元研究。
Cervical spine morphology and ligament property variations: A finite element study of their influence on sagittal bending characteristics.
Cervical spine morphology and ligament property variations: A finite element study of their influence on sagittal bending characteristics.

文献摘要

生物力学文献中报道的颈椎有限元模型通常代表静态形态。在现代临床实践中,不考虑形态学作为模型参数限制了其在个性化医学中的应用。本研究的目的是利用基于网格变形的参数化和基于元模型的敏感性分析,研究脊柱形态变化对屈伸反应的影响。C5-C6段作为基线模型。对椎间盘高度、小关节坡度、小关节突高度、椎体前后深度和节段大小的变化进行参数化处理。另外,考虑韧带材料性质的变化进行敏感性分析。分析这些变化对椎体旋转和韧带受力的影响。椎间盘高度、节段大小和体深是影响椎体旋转的主要因素,而在韧带材料性质的变化中,囊膜韧带和黄韧带对椎体旋转的影响最大。椎间盘高度的变化会影响后韧带的作用力,表明脊柱前承重柱的变化可能会对后柱产生影响。本文提出了一种识别有影响的形态变化的方法,这将有助于自动化建模工作,以集中于重要的变化。这项研究强调了合并有影响的形态学参数的重要性,这些参数很容易通过计算机断层扫描/磁共振图像获得,以便更好地预测个体特定的生物力学响应,以应用于个性化医疗。


Cervical spine finite element models reported in biomechanical literature usually represent a static morphology. Not considering morphology as a model parameter limits the predictive capabilities for applications in personalized medicine, a growing trend in modern clinical practice. The objective of the study was to investigate the influence of variations in spinal morphology on the flexion-extension responses, utilizing mesh-morphing-based parametrization and metamodel-based sensitivity analysis. A C5-C6 segment was used as the baseline model. Variations of intervertebral disc height, facet joint slope, facet joint articular processes height, vertebral body anterior-posterior depth, and segment size were parametrized. In addition, material property variations of ligaments were considered for sensitivity analysis. The influence of these variations on vertebral rotation and forces in the ligaments were analyzed. The disc height, segmental size, and body depth were found to be the most influential (in the cited order) morphology variations; while among the ligament material property variations, capsular ligament and ligamentum flavum influenced vertebral rotation the most. Changes in disc height influenced forces in the posterior ligaments, indicating that changes in the anterior load-bearing column of the spine could have consequences on the posterior column. A method to identify influential morphology variations is presented in this work, which will help automation efforts in modeling to focus on variations that matter. This study underscores the importance of incorporating influential morphology parameters, easily obtained through computed tomography/magnetic resonance images, to better predict subject-specific biomechanical responses for applications in personalized medicine.

Cervical spine finite element models reported in biomechanical literature usually represent a static morphology. Not considering morphology as a model parameter limits the predictive capabilities for applications in personalized medicine, a growing trend in modern clinical practice. The objective of the study was to investigate the influence of variations in spinal morphology on the flexion-extension responses, utilizing mesh-morphing-based parametrization and metamodel-based sensitivity analysis. A C5-C6 segment was used as the baseline model. Variations of intervertebral disc height, facet joint slope, facet joint articular processes height, vertebral body anterior-posterior depth, and segment size were parametrized. In addition, material property variations of ligaments were considered for sensitivity analysis. The influence of these variations on vertebral rotation and forces in the ligaments were analyzed. The disc height, segmental size, and body depth were found to be the most influential (in the cited order) morphology variations; while among the ligament material property variations, capsular ligament and ligamentum flavum influenced vertebral rotation the most. Changes in disc height influenced forces in the posterior ligaments, indicating that changes in the anterior load-bearing column of the spine could have consequences on the posterior column. A method to identify influential morphology variations is presented in this work, which will help automation efforts in modeling to focus on variations that matter. This study underscores the importance of incorporating influential morphology parameters, easily obtained through computed tomography/magnetic resonance images, to better predict subject-specific biomechanical responses for applications in personalized medicine.


获取全文 10.1016/j.jbiomech.2018.12.044