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基于定量计算机断层扫描和有限元分析对有和无髋部骨折女性进行分类。

Classification of women with and without hip fracture based on quantitative computed tomography and finite element analysis.

作者信息

Nishiyama K K, Ito M, Harada A, Boyd S K

机构信息

Department of Medicine, Columbia University, New York, NY, USA.

出版信息

Osteoporos Int. 2014 Feb;25(2):619-26. doi: 10.1007/s00198-013-2459-6. Epub 2013 Aug 16.

Abstract

UNLABELLED

We used quantitative computed tomography and finite element analysis to classify women with and without hip fracture. Highly accurate classifications were achieved indicating the potential for these methods to be used for subject-specific assessment of fracture risk.

INTRODUCTION

Areal bone mineral density (aBMD) is the current clinical diagnostic standard for assessing fracture risk; however, many fractures occur in people not defined as osteoporotic by aBMD. Finite element (FE) analysis based on quantitative computed tomography (QCT) images takes into account both bone material and structural properties to provide subject-specific estimates of bone strength. Thus, our objective was to determine if FE estimates of bone strength could classify women with and without hip fracture.

METHODS

Twenty women with femoral neck fracture and 15 women with trochanteric fractures along with 35 age-matched controls were scanned with QCT at the hip. Since it is unknown how a specific subject will fall, FE analysis was used to estimate bone stiffness and bone failure load under loading configurations with femoral neck internal rotation angles ranging from -30° to 45° with 15° intervals. Support vector machine (SVM) models and a tenfold cross-validation scheme were used to classify the subjects with and without fracture.

RESULTS

High accuracy was achieved when using only FE analysis for classifying the women with and without fracture both when the fracture types were pooled (82.9 %) and when analyzed separately by femoral neck fracture (87.5 %) and trochanteric fracture (80.0 %). The accuracy was further increased when FE analysis was combined with volumetric BMD (pooled fractures accuracy, 91.4 %)

CONCLUSIONS

While larger prospective studies are needed, these results demonstrate that FE analysis using multiple loading configurations together with SVM models can accurately classify individuals with previous hip fracture.

摘要

未标注

我们使用定量计算机断层扫描和有限元分析对有和没有髋部骨折的女性进行分类。实现了高度准确的分类,表明这些方法有可能用于骨折风险的个体特异性评估。

引言

面积骨密度(aBMD)是目前评估骨折风险的临床诊断标准;然而,许多骨折发生在aBMD未定义为骨质疏松的人群中。基于定量计算机断层扫描(QCT)图像的有限元(FE)分析同时考虑了骨材料和结构特性,以提供个体特异性的骨强度估计。因此,我们的目标是确定骨强度的FE估计是否可以对有和没有髋部骨折的女性进行分类。

方法

对20名股骨颈骨折女性、15名转子间骨折女性以及35名年龄匹配的对照者进行髋部QCT扫描。由于不知道特定个体将如何跌倒,因此使用FE分析来估计股骨颈内旋角度从-30°到45°(间隔15°)的加载配置下的骨刚度和骨破坏载荷。使用支持向量机(SVM)模型和十倍交叉验证方案对有和没有骨折的受试者进行分类。

结果

仅使用FE分析对有和没有骨折的女性进行分类时,当合并骨折类型时(82.9%)以及分别按股骨颈骨折(87.5%)和转子间骨折(80.0%)分析时,均实现了高精度。当FE分析与体积BMD相结合时,准确性进一步提高(合并骨折准确性,91.4%)。

结论

虽然需要更大规模的前瞻性研究,但这些结果表明,使用多种加载配置的FE分析与SVM模型可以准确地对既往有髋部骨折的个体进行分类。

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