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使用有限元模型预测股骨近端骨折位置

Prediction of fracture location in the proximal femur using finite element models.

作者信息

Keyak J H, Rossi S A, Jones K A, Les C M, Skinner H B

机构信息

Department of Orthopaedic Surgery, University of California, Irvine, CA 92868-5382, USA.

出版信息

Med Eng Phys. 2001 Nov;23(9):657-64. doi: 10.1016/s1350-4533(01)00094-7.

Abstract

Finite element (FE) models of the proximal femur are often used to study hip fracture. To interpret the results of these models, it is important to know whether the models accurately predict fracture location and/or type. This study evaluated the ability of automatically generated, CT scan-based linear FE models of the proximal femur to predict fracture location and fracture type. Fracture location was defined as the specific location of the fracture. Fracture type was a categorical variable defined as either a cervical or a trochanteric fracture. FE modeling and mechanical testing of 18 pairs of human femora were performed under two loading conditions, one similar to joint loading during single-limb stance and one simulating impact from a fall. For the stance condition, the predicted and actual fracture locations agreed in 13 of the 18 cases (72% agreement). For the fall condition, the predicted and actual fracture locations agreed in 10 of the 15 cases where the actual fractures could be identified (67% agreement). The FE models correctly predicted that only cervical fractures occurred in the stance configuration. For the fall configuration, FE-predicted and actual fracture types agreed in 11 of the 14 cases that could be compared (9 trochanteric, 2 cervical; 79% agreement). These results provide evidence that CT scan-based FE models of the proximal femur can predict fracture location and fracture type with moderate accuracy.

摘要

股骨近端的有限元(FE)模型常被用于研究髋部骨折。为了解释这些模型的结果,了解模型是否能准确预测骨折位置和/或类型很重要。本研究评估了基于CT扫描自动生成的股骨近端线性FE模型预测骨折位置和骨折类型的能力。骨折位置定义为骨折的具体位置。骨折类型是一个分类变量,定义为颈椎骨折或转子间骨折。在两种加载条件下对18对人股骨进行了有限元建模和力学测试,一种类似于单腿站立时的关节加载,另一种模拟跌倒的冲击力。对于站立条件,18例中有13例预测骨折位置与实际骨折位置一致(一致性为72%)。对于跌倒条件,在15例可识别实际骨折的病例中,有10例预测骨折位置与实际骨折位置一致(一致性为67%)。有限元模型正确预测出在站立姿势下仅发生颈椎骨折。对于跌倒姿势,在14例可比较的病例中,有限元预测的骨折类型与实际骨折类型有11例一致(9例转子间骨折,2例颈椎骨折;一致性为79%)。这些结果证明,基于CT扫描的股骨近端有限元模型能够以中等准确度预测骨折位置和骨折类型。

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