腰椎有限元模型模拟优化人工核置换术中椎间盘髓核切除率

Yeeun Kang, Jaemin Kim, Junghwa Hong
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摘要

椎间盘突出症(HIVD)是由椎间盘髓核因老化和反复损伤而脱出引起的一种疾病。为了治疗这种情况,采用人工髓核置换术(ANR)通过用人工髓核替换一部分老化的髓核来恢复椎间盘的高度和灵活性。然而,很少有研究提供髓核部分切除的定量标准。因此,本研究通过腰椎(L4-L5)的有限元模型(FEM)模拟,获得髓核去除的最佳位置和速率,并分析模型在ANR后的运动情况。我们模拟了FEM,其中60%、80%、87%和93%的总髓核在四个方向(左、右、前、后)分别被人工髓核取代。然后,对模型施加400N的z轴载荷以获得轴向压缩位移,对模型施加-6 Nm~+6 Nm的y轴力矩以分析屈伸运动范围(ROM)。结果表明,无论剩余髓核的位置如何,髓核切除80%和87%的模型的压缩位移恢复到完整模型的98%左右。髓核切除87%模型的ROM恢复率为完整模型的96%。期望通过本研究获得的数据可以用于数字双胞胎研究,预测ANR的预后,提高手术技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of nucleus pulposus removal rate in the intervertebral disc during artificial nucleus replacement using lumbar finite element model simulation
A herniated intervertebral disc (HIVD) is a disease caused by the prolapse of the nucleus pulposus of the intervertebral disc due to aging and repeated damage. To treat this, artificial nucleus replacement (ANR) is used to restore the height and flexibility of the reduced intervertebral disc by replacing a portion of the aged nucleus pulposus with an artificial one. However, few studies provide quantitative criteria for partial nucleus pulposus removal. Therefore, through finite element model (FEM) simulation of the lumbar spine (L4-L5), we obtained the optimal location and rate of nucleus pulposus removal and analyzed the movement of the model after ANR in this study. We modeled the FEM in which 60%, 80%, 87%, and 93% of the total nucleus pulposus were replaced by the artificial nucleus pulposus in each of the four directions (left, right, anterior, posterior). Then, a z-axis load of 400N was applied to the model to obtain an axial compression displacement, and a y-axis moment of -6 Nm~+6 Nm was applied to the model to analyze a flexion-extension range of motion (ROM). As a result, regardless of the location of the remaining nucleus pulposus, the compression displacement of the 80% and 87% nucleus pulposus removed model was restored to about 98% of that of the intact model. In addition, the ROM of the 87% nucleus pulposus removed model was restored in 96% of that of the intact model. It is expected that the data obtained through this study can be utilized in digital twin research to predict the prognosis of ANR and to improve surgical techniques.
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