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利用高分辨率外周定量计算机断层扫描自动模拟桡骨远端的面积骨密度评估。

Automated simulation of areal bone mineral density assessment in the distal radius from high-resolution peripheral quantitative computed tomography.

机构信息

Musculoskeletal Quantitative Imaging Research Group, Department of Radiology and Biomedical Imaging, University of California, San Francisco, QB3 Building, Suite 203, 1700 4th St, San Francisco, CA 94158, USA.

出版信息

Osteoporos Int. 2009 Dec;20(12):2017-24. doi: 10.1007/s00198-009-0907-0. Epub 2009 Mar 28.

Abstract

SUMMARY

An automated image processing method is presented for simulating areal bone mineral density measures using high-resolution peripheral quantitative computed tomography (HR-pQCT) in the ultra-distal radius. The accuracy of the method is validated against clinical dual X-ray absorptiometry (DXA). This technique represents a useful reference to gauge the utility of novel 3D quantification methods applied to HR-pQCT in multi-center clinical studies and potentially negates the need for separate forearm DXA measurements.

INTRODUCTION

Osteoporotic status is primarily assessed by measuring areal bone mineral density (aBMD) using 2D dual X-ray absorptiometry (DXA). However, this technique does not sufficiently explain bone strength and fracture risk. High-resolution peripheral quantitative computed tomography (HR-pQCT) has been introduced as a method to quantify 3D bone microstructure and biomechanics. In this study, an automated method is proposed to simulate aBMD measures from HR-pQCT distal radius images.

METHODS

A total of 117 subject scans were retrospectively analyzed from two clinical bone quality studies. The distal radius was imaged by HR-pQCT and DXA on one of two devices (Hologic or Lunar). Areal BMD was calculated by simulation from HR-pQCT images (aBMD(sim)) and by standard DXA analysis (aBMD(dxa)).

RESULTS

The reproducibility of the simulation technique was 1.1% (root mean-squared coefficient of variation). HR-pQCT-based aBMD(sim) correlated strongly to aBMD(dxa) (Hologic: R (2) = 0.82, Lunar: R (2) = 0.87), though aBMD(sim) underestimated aBMD(dxa) for both DXA devices (p < 0.0001). Finally, aBMD(sim) predicted aBMD at the proximal femur and lumbar spine with equal power compared to aBMD(dxa).

CONCLUSION

The results demonstrate that aBMD can be simulated from HR-pQCT images of the distal radius. This approach has the potential to serve as a surrogate forearm aBMD measure for clinical HR-pQCT studies when axial bone mineral density values are not required.

摘要

摘要

本研究提出了一种自动化的图像处理方法,用于模拟使用高分辨率外周定量计算机断层扫描(HR-pQCT)在超远端桡骨进行的真实骨密度测量。该方法的准确性通过与临床双能 X 射线吸收法(DXA)进行验证。该技术为评估新型 3D 定量方法在多中心临床研究中应用于 HR-pQCT 的效用提供了有用的参考,并可能消除对单独进行前臂 DXA 测量的需求。

引言

骨质疏松症的状态主要通过使用二维双能 X 射线吸收法(DXA)测量面积骨密度(aBMD)来评估。然而,这种技术并不能充分解释骨强度和骨折风险。高分辨率外周定量计算机断层扫描(HR-pQCT)已被引入作为一种量化 3D 骨微观结构和生物力学的方法。在本研究中,提出了一种自动化方法来模拟 HR-pQCT 远端桡骨图像的 aBMD 测量值。

方法

回顾性分析了来自两项临床骨质量研究的 117 例受试者扫描。使用 HR-pQCT 和 DXA 在两种设备(Hologic 或 Lunar)中的一种对远端桡骨进行成像。通过 HR-pQCT 图像模拟(aBMD(sim))和标准 DXA 分析(aBMD(dxa))计算面积骨密度。

结果

该模拟技术的重复性为 1.1%(均方根变异系数)。HR-pQCT 为基础的 aBMD(sim)与 aBMD(dxa)高度相关(Hologic:R²=0.82,Lunar:R²=0.87),尽管两种 DXA 设备的 aBMD(sim)都低估了 aBMD(dxa)(p<0.0001)。最后,aBMD(sim)预测近端股骨和腰椎的 aBMD 的能力与 aBMD(dxa)相当。

结论

结果表明,可以从远端桡骨的 HR-pQCT 图像模拟出 aBMD。当不需要轴向骨密度值时,该方法有可能作为临床 HR-pQCT 研究中桡骨 aBMD 的替代测量值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d918/2777210/ce84e29c9585/198_2009_907_Fig1_HTML.jpg

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