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在 AGES Reykjavik 研究队列中,基于有限元分析得出的股骨强度比 aBMD 更能预测髋部骨折风险。

Finite element derived femoral strength is a better predictor of hip fracture risk than aBMD in the AGES Reykjavik study cohort.

机构信息

Institute for Biomechanics, ETH Zürich, Zürich, Switzerland.

Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland.

出版信息

Bone. 2022 Jan;154:116219. doi: 10.1016/j.bone.2021.116219. Epub 2021 Sep 25.

DOI:10.1016/j.bone.2021.116219
PMID:34571206
Abstract

Hip fractures associated with a high economic burden, loss of independence, and a high rate of post-fracture mortality, are a major health concern for modern societies. Areal bone mineral density is the current clinical metric of choice when assessing an individual's future risk of fracture. However, this metric has been shown to lack sensitivity and specificity in the targeted selection of individuals for preventive interventions. Although femoral strength derived from computed tomography based finite element models has been proposed as an alternative based on its superior femoral strength prediction ex vivo, such predictions have only shown marginal or no improvement for assessing hip fracture risk. This study compares finite element derived femoral strength to aBMD as a metric for hip fracture risk assessment in subjects (N = 601) from the AGES Reykjavik Study cohort and analyses the dependence of femoral strength predictions and classification accuracy on the material model and femoral loading alignment. We found hip fracture classification based on finite element derived femoral strength to be significantly improved compared to aBMD. Finite element models with non-linear material models performed better at classifying hip fractures compared to finite element models with linear material models and loading alignments with low internal rotation and adduction, which do not correspond to weak femur alignments, were found to be most suitable for hip fracture classification.

摘要

髋部骨折给社会带来了巨大的经济负担,导致患者丧失独立性,且增加了骨折后死亡的风险,这已成为现代社会面临的主要健康问题。当评估个体未来骨折风险时,骨密度是目前临床选择的指标。但该指标在预防干预的个体选择方面的灵敏度和特异性均不足。虽然基于 CT 的有限元模型衍生的股骨强度已被提议作为一种替代方法,因其在体外具有更好的股骨强度预测能力,但这些预测方法在评估髋部骨折风险方面仅显示出轻微或没有改善。本研究比较了有限元衍生的股骨强度和 aBMD 作为评估 AGES 雷克雅未克研究队列中受试者(N=601)髋部骨折风险的指标,并分析了股骨强度预测和分类准确性对材料模型和股骨加载对准的依赖性。我们发现,基于有限元衍生的股骨强度的髋部骨折分类与 aBMD 相比有显著改善。与线性材料模型的有限元模型相比,非线性材料模型的有限元模型在髋部骨折分类方面表现更好,而与弱股骨对准不对应的低内旋和内收的加载对准被发现最适合髋部骨折分类。

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