Langton C M, Pisharody S, Keyak J H
Institute of Health & Biomedical Innovation and School of Physical & Chemical Sciences, Queensland University of Technology, Brisbane 4001, Queensland, Australia.
Med Eng Phys. 2009 Jul;31(6):668-72. doi: 10.1016/j.medengphy.2008.12.007. Epub 2009 Feb 20.
Bone mineral density (BMD) is currently the preferred surrogate for bone strength in clinical practice. Finite element analysis (FEA) is a computer simulation technique that can predict the deformation of a structure when a load is applied, providing a measure of stiffness (N mm(-1)). Finite element analysis of X-ray images (3D-FEXI) is a FEA technique whose analysis is derived from a single 2D radiographic image.
18 excised human femora had previously been quantitative computed tomography scanned, from which 2D BMD-equivalent radiographic images were derived, and mechanically tested to failure in a stance-loading configuration. A 3D proximal femur shape was generated from each 2D radiographic image and used to construct 3D-FEA models.
The coefficient of determination (R(2)%) to predict failure load was 54.5% for BMD and 80.4% for 3D-FEXI.
This ex vivo study demonstrates that 3D-FEXI derived from a conventional 2D radiographic image has the potential to significantly increase the accuracy of failure load assessment of the proximal femur compared with that currently achieved with BMD. This approach may be readily extended to routine clinical BMD images derived by dual energy X-ray absorptiometry.
骨密度(BMD)目前是临床实践中评估骨强度的首选替代指标。有限元分析(FEA)是一种计算机模拟技术,可预测结构在受力时的变形情况,提供刚度测量值(N mm⁻¹)。X射线图像有限元分析(3D-FEXI)是一种有限元分析技术,其分析源自单个二维放射图像。
18根切除的人股骨先前已进行定量计算机断层扫描,从中获取二维骨密度等效放射图像,并在站立加载配置下进行机械测试直至破坏。从每个二维放射图像生成三维近端股骨形状,并用于构建3D-FEA模型。
预测破坏载荷的决定系数(R²%),骨密度为54.5%,3D-FEXI为80.4%。
这项离体研究表明,与目前骨密度所达到的水平相比,从传统二维放射图像衍生的3D-FEXI有潜力显著提高近端股骨破坏载荷评估的准确性。这种方法可轻松扩展到双能X射线吸收法获取的常规临床骨密度图像。