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基于变差函数的 DXA 评估与椎体强度相关,但与单独的 aBMD 相比,不能增强预测。

Variogram-based evaluations of DXA correlate with vertebral strength, but do not enhance the prediction compared to aBMD alone.

机构信息

Department of Health and Kinesiology, University of Texas at Tyler, Tyler, TX, USA.

Department of Engineering Mechanics, Dalian University of Technology, Dalian, China; Institute of Biomechanics, TUHH Hamburg University of Technology, Hamburg, Germany.

出版信息

J Biomech. 2018 Aug 22;77:223-227. doi: 10.1016/j.jbiomech.2018.07.009. Epub 2018 Jul 25.

Abstract

Ancillary evaluation of spinal Dual-energy X-ray Absorptiometry (DXA) via variogram-based texture evaluation (e.g., Trabecular Bone Score) is used for improving the fracture risk assessment, despite no proven relationship with vertebral strength. The purpose of this study was thus to determine whether classical variogram-based parameters (sill variance and correlation length) evaluated from simulated DXA scans could help predicting the in vitro vertebral strength. Experimental data of thirteen human full vertebrae (i.e., with posterior elements) and twelve vertebral bodies were obtained from two existing studies. Areal bone mineral density (aBMD) was calculated from 2D projection images of the 3D HR-pQCT scan of the specimens mimicking clinical DXA scans. Stochastic predictors, sill variance and correlation length, were calculated from their experimental variogram. Vertebral strength was measured as the maximum failure load of human vertebrae and vertebral bodies from mechanical tests. Vertebral strength correlated significantly with sill variance (r = 0.727) and correlation length (r = 0.727) for the vertebral bodies, and with correlation length (r = 0.593) for full vertebrae. However, the stochastic predictors improved the strength prediction made by aBMD alone by only 11% for the vertebral bodies while no improvement was observed for the full vertebrae. Despite a correlation, classical variogram parameters such as sill variance and correlation length do not enhance the prediction of in vitro vertebral strength beyond aBMD. It remains unclear why some variogram-based evaluations of DXA improve fracture prediction without a proven relationship with vertebral strength.

摘要

脊柱双能 X 射线吸收法(DXA)的辅助评估通过基于变差函数的纹理评估(例如,小梁骨评分)来提高骨折风险评估,尽管与椎体强度没有明确的关系。因此,本研究的目的是确定从模拟 DXA 扫描中评估的经典变差函数参数(基差方差和相关长度)是否有助于预测体外椎体强度。从两个现有研究中获得了 13 个人体全椎骨(即带有后元素)和 12 个椎体的实验数据。通过模拟临床 DXA 扫描的 3D HR-pQCT 扫描的 2D 投影图像计算面积骨矿物质密度(aBMD)。从实验变差函数中计算出随机预测因子,基差方差和相关长度。通过机械测试测量人体椎骨和椎体的最大失效载荷作为椎体强度。椎体强度与椎体的基差方差(r=0.727)和相关长度(r=0.727)以及全椎骨的相关长度(r=0.593)显著相关。然而,对于椎体,随机预测因子仅将 aBMD 单独预测的强度提高了 11%,而对于全椎骨则没有观察到改善。尽管存在相关性,但经典变差函数参数(如基差方差和相关长度)并不能在 aBMD 之外增强体外椎体强度的预测。尚不清楚为什么一些基于 DXA 的变差函数评估能够改善骨折预测,而与椎体强度没有明确的关系。

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本文引用的文献

1
Trabecular bone score (TBS): Method and applications.骨小梁评分(TBS):方法与应用。
Bone. 2017 Nov;104:66-72. doi: 10.1016/j.bone.2017.01.035. Epub 2017 Feb 1.
4
Trabecular Bone Score: Where are we now?小梁骨评分:我们目前的进展如何?
Joint Bone Spine. 2015 Oct;82(5):320-5. doi: 10.1016/j.jbspin.2015.02.005. Epub 2015 Apr 24.

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