Jackman Timothy M, DelMonaco Alex M, Morgan Elise F
Department of Biomedical Engineering, Boston University, Boston, MA, United States.
Department of Biomedical Engineering, Boston University, Boston, MA, United States; Department of Mechanical Engineering, Boston University, Boston, MA, United States.
J Biomech. 2016 Jan 25;49(2):267-75. doi: 10.1016/j.jbiomech.2015.12.004. Epub 2015 Dec 11.
Finite element (FE) models built from quantitative computed tomography (QCT) scans can provide patient-specific estimates of bone strength and fracture risk in the spine. While prior studies demonstrate accurate QCT-based FE predictions of vertebral stiffness and strength, the accuracy of the predicted failure patterns, i.e., the locations where failure occurs within the vertebra and the way in which the vertebra deforms as failure progresses, is less clear. This study used digital volume correlation (DVC) analyses of time-lapse micro-computed tomography (μCT) images acquired during mechanical testing (compression and anterior flexion) of thoracic spine segments (T7-T9, n=28) to measure displacements occurring throughout the T8 vertebral body at the ultimate point. These displacements were compared to those simulated by QCT-based FE analyses of T8. We hypothesized that the FE predictions would be more accurate when the boundary conditions are based on measurements of pressure distributions within intervertebral discs of similar level of disc degeneration vs. boundary conditions representing rigid platens. The FE simulations captured some of the general, qualitative features of the failure patterns; however, displacement errors ranged 12-279%. Contrary to our hypothesis, no differences in displacement errors were found when using boundary conditions representing measurements of disc pressure vs. rigid platens. The smallest displacement errors were obtained using boundary conditions that were measured directly by DVC at the T8 endplates. These findings indicate that further work is needed to develop methods of identifying physiological loading conditions for the vertebral body, for the purpose of achieving robust, patient-specific FE analyses of failure mechanisms.
由定量计算机断层扫描(QCT)扫描构建的有限元(FE)模型可以提供患者特异性的脊柱骨强度和骨折风险估计。虽然先前的研究表明基于QCT的FE对椎体刚度和强度的预测准确,但预测的失效模式的准确性,即椎体内部发生失效的位置以及随着失效进展椎体变形的方式,尚不清楚。本研究对胸椎节段(T7-T9,n=28)进行机械测试(压缩和前屈)期间采集的延时显微计算机断层扫描(μCT)图像进行数字体积相关(DVC)分析,以测量T8椎体在极限点处发生的位移。将这些位移与基于T8的QCT的FE分析模拟的位移进行比较。我们假设,当边界条件基于类似椎间盘退变水平的椎间盘内压力分布测量值而非代表刚性压板的边界条件时,FE预测将更准确。FE模拟捕捉到了失效模式的一些一般定性特征;然而,位移误差范围为12%-279%。与我们的假设相反,使用代表椎间盘压力测量值的边界条件与刚性压板时,未发现位移误差有差异。使用在T8终板处通过DVC直接测量的边界条件可获得最小的位移误差。这些发现表明,为了对失效机制进行稳健的、针对患者的FE分析,需要进一步开展工作来开发识别椎体生理负荷条件的方法。