Institute for Biomechanics, ETH-Zürich, Switzerland.
Orthopaedic and Injury Biomechanics Group, University of British Columbia, Vancouver, Canada; Centre for Hip Health and Mobility, University of British Columbia, Vancouver, Canada; Department of Mechanical Engineering, University of British Columbia, Vancouver, Canada.
Med Eng Phys. 2014 Jun;36(6):793-9. doi: 10.1016/j.medengphy.2014.02.019. Epub 2014 Mar 12.
The majority of people who sustain hip fractures after a fall to the side would not have been identified using current screening techniques such as areal bone mineral density. Identifying them, however, is essential so that appropriate pharmacological or lifestyle interventions can be implemented. A protocol, demonstrated on a single specimen, is introduced, comprising the following components; in vitro biofidelic drop tower testing of a proximal femur; high-speed image analysis through digital image correlation; detailed accounting of the energy present during the drop tower test; organ level finite element simulations of the drop tower test; micro level finite element simulations of critical volumes of interest in the trabecular bone. Fracture in the femoral specimen initiated in the superior part of the neck. Measured fracture load was 3760N, compared to 4871N predicted based on the finite element analysis. Digital image correlation showed compressive surface strains as high as 7.1% prior to fracture. Voxel level results were consistent with high-speed video data and helped identify hidden local structural weaknesses. We found using a drop tower test protocol that a femoral neck fracture can be created with a fall velocity and energy representative of a sideways fall from standing. Additionally, we found that the nested explicit finite element method used allowed us to identify local structural weaknesses associated with femur fracture initiation.
大多数人在摔倒后发生髋部骨折,如果使用目前的筛查技术(如骨矿物质密度检测),可能无法被识别。然而,识别这些人非常重要,以便可以实施适当的药物治疗或生活方式干预。本文提出了一种方案,该方案在单个标本上进行了演示,包括以下组成部分:体外仿生落塔试验;高速数字图像相关分析;详细记录落塔试验过程中的能量;基于落塔试验的器官级有限元模拟;对骨小梁关键感兴趣区域的微级有限元模拟。股骨标本的骨折始于颈上部。测量的骨折载荷为 3760N,而基于有限元分析预测的骨折载荷为 4871N。数字图像相关显示,在骨折发生前,压缩表面应变高达 7.1%。体素级结果与高速视频数据一致,并有助于识别隐藏的局部结构弱点。我们发现,使用落塔试验方案,可以用代表从站立位侧向跌倒的速度和能量来造成股骨颈骨折。此外,我们发现,所使用的嵌套显式有限元方法使我们能够识别与股骨骨折起始相关的局部结构弱点。