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基于有限元模型的椎弓根螺钉固定强度个体化预测

Individualized prediction of pedicle screw fixation strength with a finite element model.

作者信息

Widmer Jonas, Fasser Marie-Rosa, Croci Eleonora, Spirig José, Snedeker Jess G, Farshad Mazda

机构信息

Department of Orthopaedics, Balgrist University Hospital, Zurich, Switzerland.

Institute for Biomechanics, ETH Zurich, Zurich, Switzerland.

出版信息

Comput Methods Biomech Biomed Engin. 2020 Mar;23(4):155-167. doi: 10.1080/10255842.2019.1709173. Epub 2020 Jan 7.

Abstract

Pedicle screws are used for the treatment of a wide variety of spinal pathologies. A good screw holding power in bone is required for treatment success, but has so far not been predictable computationally. The goal of this study was to develop an automated tool able to predict patient-specific screw fixation strength through finite element simulation. We compared the simulation results with results from biomechanical pull-out tests performed on animal lumbar specimens. Experimental and simulation pull-out strengths were highly correlated [Formula: see text] and the mean error was 20.25%. The fixation strength was also associated to great extent with pull-out stiffness and strain energy, as well as the screw size and mean vertebral density.

摘要

椎弓根螺钉用于治疗多种脊柱疾病。治疗成功需要螺钉在骨中具有良好的把持力,但到目前为止,通过计算还无法预测。本研究的目的是开发一种自动化工具,能够通过有限元模拟预测患者特异性的螺钉固定强度。我们将模拟结果与在动物腰椎标本上进行的生物力学拔出试验结果进行了比较。实验和模拟的拔出强度高度相关[公式:见原文],平均误差为20.25%。固定强度在很大程度上还与拔出刚度、应变能以及螺钉尺寸和平均椎体密度有关。

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