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跟骨的超声检查和骨密度测量与尸体股骨的破坏载荷相关。

Ultrasound and densitometry of the calcaneus correlate with the failure loads of cadaveric femurs.

作者信息

Bouxsein M L, Courtney A C, Hayes W C

机构信息

Department of Orthopaedic Surgery, Charles A. Dana Research Institute, Harvard Thorndike Laboratory, Beth Israel Hospital, Boston, Massachusetts, USA.

出版信息

Calcif Tissue Int. 1995 Feb;56(2):99-103. doi: 10.1007/BF00296338.

Abstract

We assessed the bone mineral density (BMD) of 16 matched sets of cadaveric proximal femurs and feet using dual-energy x-ray absorptiometry (DXA). We also estimated the femoral neck length from the DXA scans. Quantitative ultrasound densitometry was used to measure the velocity of sound and broadband ultrasound attenuation (BUA) in the calcaneus of each foot. The proximal femurs were then tested to failure in a loading configuration designed to simulate a fall with impact to the greater trochanter. Femoral neck BMD and trochanteric BMD were strongly associated with the femoral failure load (r2 = 0.79 and 0.81, respectively; P < 0.001), whereas femoral neck length was modestly correlated with femoral failure load (r2 = 0.27, P = 0.04). Calcaneal BMD (r2 = 0.63, P < 0.001) and BUA (r2 = 0.51, P = 0.002) were also significantly associated with femoral failure load. Given the small sample size, we were unable to detect differences in the strength of the correlations between the independent parameters and femoral failure load. Using linear multiple regression analyses, the strongest predictor of femoral failure load was a combination of femoral neck BMD and femoral neck length (R2 = 0.85, P < 0.001). Thus, it appears that both femoral and calcaneal bone mineral properties may be useful for identifying those persons at greatest risk for hip fracture.

摘要

我们使用双能X线吸收法(DXA)评估了16组匹配的尸体近端股骨和足部的骨密度(BMD)。我们还从DXA扫描中估计了股骨颈长度。使用定量超声密度测定法测量每只脚跟骨中的声速和宽带超声衰减(BUA)。然后对近端股骨进行测试,使其在一种加载配置下失效,该配置旨在模拟大转子受到撞击的跌倒情况。股骨颈骨密度和转子间骨密度与股骨失效负荷密切相关(r2分别为0.79和0.81;P < 0.001),而股骨颈长度与股骨失效负荷的相关性一般(r2 = 0.27,P = 0.04)。跟骨骨密度(r2 = 0.63,P < 0.001)和BUA(r2 = 0.51,P = 0.002)也与股骨失效负荷显著相关。鉴于样本量较小,我们无法检测出各独立参数与股骨失效负荷之间相关性强度的差异。使用线性多元回归分析,股骨失效负荷的最强预测指标是股骨颈骨密度和股骨颈长度的组合(R2 = 0.85,P < 0.001)。因此,股骨和跟骨的骨矿物质特性似乎都有助于识别那些髋部骨折风险最高的人。

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