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二维和三维数值模型评估小梁骨损伤。

2D and 3D numerical models to evaluate trabecular bone damage.

机构信息

Department of Mechanical Engineering, Politecnico Di Milano, Via La Masa 1, 20156, Milan, Italy.

, Berlin, Germany.

出版信息

Med Biol Eng Comput. 2021 Oct;59(10):2139-2152. doi: 10.1007/s11517-021-02422-x. Epub 2021 Sep 1.

Abstract

The comprehension of trabecular bone damage processes could be a crucial hint for understanding how bone damage starts and propagates. Currently, different approaches to bone damage identification could be followed. Clinical approaches start from dual X-ray absorptiometry (DXA) technique that can evaluate bone mineral density (BMD), an indirect indicator of fracture risk. DXA is, in fact, a two-dimensional technology, and BMD alone is not able to predict the effective risk of fractures. First attempts in overcoming this issue have been performed with finite element (FE) methods, combined with the use of three-dimensional high-resolution micro-computed tomographic images. The purpose of this work is to evaluate damage initiation and propagation in trabecular vertebral porcine samples using 2D linear-elastic FE models from DXA images and 3D linear FE models from micro-CT images. Results show that computed values of strains with 2D and 3D approaches (e.g., the minimum principal strain) are of the same order of magnitude. 2D DXA-based models still remain a powerful tool for a preliminary screening of trabecular regions that are prone to fracture, while from 3D micro-CT-based models, it is possible to reach details that permit the localization of the most strained trabecula.

摘要

对小梁骨损伤过程的理解可能是理解骨损伤如何开始和传播的关键线索。目前,可以采用不同的方法来识别骨损伤。临床方法从双能 X 射线吸收法(DXA)技术开始,该技术可以评估骨矿物质密度(BMD),这是骨折风险的间接指标。DXA 实际上是一种二维技术,BMD 本身并不能预测骨折的有效风险。为了克服这个问题,已经首次尝试使用有限元(FE)方法,结合使用三维高分辨率微计算机断层扫描图像。这项工作的目的是使用来自 DXA 图像的二维线性弹性 FE 模型和来自微 CT 图像的三维线性 FE 模型来评估小梁椎体猪样本中的损伤起始和传播。结果表明,二维和三维方法(例如,最小主应变)计算得到的应变值具有相同的数量级。二维 DXA 基于模型仍然是初步筛选易骨折小梁区域的有力工具,而从三维微 CT 基于模型,可以获得允许定位应变最大的小梁的细节。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4edd/8440311/01534b2d47ab/11517_2021_2422_Fig1_HTML.jpg

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