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有限元分析和生物力学测试分析牙槽嵴劈开骨折移位。

Finite Element Analysis and Biomechanical Testing to Analyze Fracture Displacement of Alveolar Ridge Splitting.

机构信息

University Hospital of Freiburg, Germany.

AO Research Institute Davos, Switzerland.

出版信息

Biomed Res Int. 2018 Oct 14;2018:3579654. doi: 10.1155/2018/3579654. eCollection 2018.

Abstract

The alveolar ridge splitting technique enables reconstruction of atrophied alveolar ridges prior implantation. However, in cases of severe atrophy, there is an unpredictable risk of fracturing the buccal lamella during the expansion. Currently, there is no preoperative assessment to predict the maximum distraction of the lamella. The aim of this study was to develop a biomechanical model to mimic the alveolar ridge splitting and a finite element (FE) model to predict the experimental results. The biomechanical testing was conducted on porcine mandibles. To build the FE model high resolution peripheral quantitative computer tomography scans of one specimen was performed after the osteotomy outline, but before the lamella displacement. A servo-electric testing machine was used for the axial tension test to split the lamellae. Results showed, in line with clinical observations, that the lamellae broke primarily at the base of the splits with a median displacement of 1.27 mm. The FE model could predict fracture force and fracture displacement. Fracture force showed a nonlinear correlation with the height of the bone lamella. In conclusion, good correspondence between mechanical testing and virtual FE analysis showed a clinically relevant approach that may help to predict maximum lamella displacement to prevent fractures in the future.

摘要

牙槽嵴劈开技术可在种植前对萎缩的牙槽嵴进行重建。然而,在严重萎缩的情况下,扩张过程中颊板有不可预测的骨折风险。目前,尚无术前评估可预测板的最大牵张距离。本研究旨在开发一种生物力学模型来模拟牙槽嵴劈开,并建立有限元(FE)模型来预测实验结果。生物力学测试在猪下颌骨上进行。为了建立 FE 模型,在进行骨切开轮廓后但在板移位之前,对一个标本进行了高分辨率外周定量计算机断层扫描。使用伺服电动试验机进行轴向拉伸试验以劈开板。结果表明,与临床观察一致,板首先在分裂的底部断裂,中位位移为 1.27mm。FE 模型可以预测骨折力和骨折位移。骨折力与骨板高度呈非线性相关。总之,机械测试和虚拟 FE 分析之间的良好一致性表明了一种具有临床相关性的方法,该方法可能有助于预测最大板位移,以防止未来骨折。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17e8/6204175/f05ee92aaf74/BMRI2018-3579654.001.jpg

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