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Accuracy of finite element analyses of CT scans in predictions of vertebral failure patterns under axial compression and anterior flexion

机译:CT扫描的有限元分析在预测轴向压缩和前屈状态下椎体衰竭模式中的准确性

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摘要

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.
机译:通过定量计算机断层扫描(QCT)扫描建立的有限元(FE)模型可以提供特定于患者的骨强度和脊柱骨折风险的估计值。尽管先前的研究证明了基于QCT的对椎骨硬度和强度的精确FE预测,但预测的失败模式的准确性(即椎骨内发生故障的位置以及随着故障的进展椎骨变形的方式)的准确性尚不清楚。这项研究使用了对胸部脊柱节段(T7–T9,n = 28)进行机械测试(压缩和前屈)期间获得的延时微计算机断层扫描(µCT)图像的数字体积相关性(DVC)分析,以测量整个过程中发生的位移T8椎体达到极限。将这些位移与通过基于QCT的T8有限元分析模拟的位移进行了比较。我们假设,当边界条件基于椎间盘退变水平相似的椎间盘内压力分布的测量值与代表刚性压板的边界条件时,FE预测将更加准确。有限元仿真捕获了故障模式的一些常规,定性特征。但是,位移误差范围为12–279%。与我们的假设相反,使用边界条件表示圆盘压力与刚性压板的测量结果时,位移误差没有差异。使用边界条件获得最小的位移误差,该边界条件由DVC在T8端板上直接测量。这些发现表明,需要进行进一步的工作来开发鉴定椎体生理负荷状况的方法,以实现对失败机制的可靠,针对患者的有限元分析。

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