Carpenedo Linda, Berti Francesca, La Barbera Luigi
Laboratory of Biological Structure Mechanics (LaBS)- Department of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milano, Italy.
IRCCS Galeazzi-Sant'Ambrogio Hospital, Via Cristina Belgioioso 173, 20161, Milano, Italy.
Ann Biomed Eng. 2025 Mar;53(3):644-657. doi: 10.1007/s10439-024-03649-z. Epub 2024 Dec 2.
Spinal fixation techniques based on contoured spinal rods are well established to restore an adequate sagittal alignment; however, they often break due to fatigue loading because residual stresses arise while deforming the material and they significantly reduce rod fatigue strength. The present paper aims at developing a novel strategy based on Response Surfaces (RS) as surrogate reduced order models to accurately predict the key biomechanical parameters involved both during static spinal rod contouring and subsequent fatigue loading. Finite element (FE) models of different contouring methods are performed on a wide range of spinal rods to reproduce typical clinical scenarios. RSs based on polynomial equations are initially used to fit the collected FE data and relate input parameters of the process to outputs mechanical variables. Then, the RS approach is assessed and validated by comparison with extensive experimental observations from a variety of fatigue tests. The RS provides an accurate prediction of the output parameters of interest (R = 0.88-1), with an average relative error up to 9% compared to computationally demanding FE models. Fatigue outputs are correctly predicted both for breakages and survivals of rods, despite an average overestimation on the equivalent stress of 11%. The RS approach proves credible and accurate in predicting the experimental fatigue strength of contoured spinal rods. The proposed method could serve in clinical practice as an intraoperative virtual tool to support the decision-making process.
基于轮廓脊柱棒的脊柱固定技术已被广泛应用于恢复适当的矢状位对线;然而,由于在材料变形时会产生残余应力,导致脊柱棒因疲劳载荷而经常断裂,这显著降低了脊柱棒的疲劳强度。本文旨在开发一种基于响应面(RS)的新策略,作为替代降阶模型,以准确预测静态脊柱棒轮廓塑造及后续疲劳载荷过程中涉及的关键生物力学参数。在多种脊柱棒上对不同轮廓塑造方法进行有限元(FE)建模,以重现典型临床场景。最初使用基于多项式方程的响应面来拟合收集到的有限元数据,并将该过程的输入参数与输出力学变量相关联。然后,通过与来自各种疲劳试验的大量实验观察结果进行比较,对响应面方法进行评估和验证。响应面能够准确预测感兴趣的输出参数(R = 0.88 - 1),与计算要求较高的有限元模型相比,平均相对误差高达9%。尽管等效应力平均高估了11%,但对于脊柱棒的断裂和存活情况,疲劳输出均能得到正确预测。响应面方法在预测轮廓脊柱棒的实验疲劳强度方面被证明是可靠且准确的。所提出的方法可在临床实践中作为一种术中虚拟工具,以支持决策过程。