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首页> 外文期刊>The Open Bone Journal >Discrimination of Cervical and Trochanteric Hip Fractures UsingRadiography-Based Two-Dimensional Finite Element Models
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Discrimination of Cervical and Trochanteric Hip Fractures UsingRadiography-Based Two-Dimensional Finite Element Models

机译:基于放射学的二维有限元模型对颈椎和转子粗隆骨折的鉴别

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Introduction: Predictors of fracture risk differ between cervical and trochanteric hip fractures. The aim of thisexperimental study was therefore to investigate whether two-dimensional (2D) finite element (FE) models, generated fromstandard radiographs, are able to predict and discriminate fracture types, originating from a simulated fall on the greatertrochanter. Methods: A semi-automatic custom algorithm was applied to segment cortical and trabecular bone contoursfrom radiographs of 49 female cadaver femora (mean age 80.7±10.3 years). Two types of 2D FE models were generated,either one or four material properties assigned to the trabecular bone. The cartilage and soft tissue were also simulated,and the boundary conditions were mimicking the experiment. VonMises stress distributions within the trabecular bonewere evaluated and the regions of maximum continuous stress patterns were determined. Results: The best fracture typeprediction was obtained with the criterion that a cervical fracture was predicted if the maximum stress in trabecular bonewas located at the superior part of the femoral neck and the maximum continuous stress pattern through the neck region;and in all other cases a trochanteric fracture was predicted. The two different models predicted 79.6% and 85.7% of thefracture cases correctly, in comparison with the actual failure type. Conclusion: Our results suggest that the cervical andtrochanteric hip fractures can be discriminated with a satisfactory level of accuracy, using a relatively simple radiographybased2D model. Based on the current experimental findings, the predictive power of these models should now be testedin clinical studies.
机译:简介:颈椎和股骨转子髋部骨折的骨折风险预测因素不同。因此,本实验研究的目的是调查从标准X射线照片生成的二维(2D)有限元(FE)模型是否能够预测和区分源自大转子的跌落的骨折类型。方法:采用半自动定制算法,对49例女性尸体股骨(平均年龄80.7±10.3岁)的X光片进行皮质和小梁骨轮廓分割。生成了两种类型的2D FE模型,即分配给小梁骨的一种或四种材料属性。还模拟了软骨和软组织,边界条件与实验相似。对小梁骨内的VonMises应力分布进行了评估,并确定了最大连续应力模式的区域。结果:以骨小梁的最大应力位于股骨颈的上半部和贯穿颈部的最大连续应力模式为标准的颈椎骨折预测标准可得出最佳的骨折类型;在所有其他情况下,股骨转子骨折。与实际的故障类型相比,两种不同的模型正确预测了79.6%和85.7%的骨折病例。结论:我们的结果表明,使用相对简单的基于X射线照相的2D模型,可以以令人满意的准确度区分颈椎和转子粗隆。基于当前的实验发现,现在应该在临床研究中测试这些模型的预测能力。

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