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使用基于数字断层合成的数字体积相关技术对椎体变形进行体内测量。

In vivo measurement of vertebral deformation using digital tomosynthesis based digital volume correlation.

作者信息

Oravec Daniel, Zauel Roger, Flynn Michael J, Rao Sudhaker, Yeni Yener N

机构信息

Bone and Joint Center, Department of Orthopedic Surgery, Henry Ford Health, Detroit, MI, USA.

Bone and Joint Center, Department of Orthopedic Surgery, Henry Ford Health, Detroit, MI, USA.

出版信息

J Biomech. 2025 Aug;189:112815. doi: 10.1016/j.jbiomech.2025.112815. Epub 2025 Jun 13.

Abstract

Vertebral fractures are the most common type of osteoporotic fracture and associated with significant complications. Timely intervention is important to prevent vertebral fractures, however the current standard for assessing osteoporosis (bone mineral density) is not fully accurate for identifying at-risk individuals. Inspired by a laboratory technique combining microcomputed tomography with mechanical loading for mechanical assessment of extracted bone structures, digital tomosynthesis-based digital volume correlation (DTS-DVC) uses supine and standing DTS images of patients in combination with DVC. The current study evaluated in vivo precision errors, and the utility of DTS-DVC in identifying mechanically compromised vertebrae. Seven patients with vertebral fracture (Fx) and twelve without (NFx) were DTS-imaged, and endplate-to-endplate displacement, stiffness, compliance, and endplate distribution statistics were calculated using supine reference images and images acquired in supine, standing, standing while holding added weight. The in vivo measurement error of DTS-DVC metrics and the extent to which DTS-DVC can measure differences in vertebrae due to loading and presence of vertebral deformity (vertebral fracture) were examined. Total measurement error was low (0.017-0.019 mm), and all measured parameters changed with loading (p < 0.0001 to p < 0.05). Endplate-to-endplate displacement and displacement heterogeneity were significantly higher in fractured vs adjacent intact vertebrae. There were large differences in DVC variables between intact L1 vertebrae of Fx and NFx groups; however, these were not statistically demonstrable. Collectively, results support the in vivo feasibility of DTS-DVC and warrant further investigation. A biomechanics-based assessment of vertebral bone quality is expected to improve our understanding and clinical assessment of vertebral fracture risk.

摘要

椎体骨折是最常见的骨质疏松性骨折类型,且伴有严重并发症。及时干预对于预防椎体骨折很重要,然而,目前评估骨质疏松症的标准(骨密度)在识别高危个体方面并不完全准确。受一种将微型计算机断层扫描与机械加载相结合以对提取的骨结构进行力学评估的实验室技术启发,基于数字断层合成的数字体积相关技术(DTS-DVC)将患者的仰卧位和站立位DTS图像与数字体积相关技术相结合。本研究评估了DTS-DVC在体内的精度误差,以及其在识别力学受损椎体方面的效用。对7例椎体骨折患者(Fx)和12例无椎体骨折患者(NFx)进行了DTS成像,并使用仰卧位参考图像以及在仰卧位、站立位、负重站立位采集的图像计算终板到终板的位移、刚度、顺应性和终板分布统计数据。研究了DTS-DVC指标的体内测量误差,以及DTS-DVC能够测量由于加载和椎体畸形(椎体骨折)导致的椎体差异的程度。总测量误差较低(0.017 - 0.019毫米),所有测量参数均随加载而变化(p < 0.0001至p < 0.05)。骨折椎体与相邻完整椎体相比,终板到终板的位移和位移异质性显著更高。Fx组和NFx组完整L1椎体的数字体积相关变量存在较大差异;然而,这些差异在统计学上并不显著。总体而言,结果支持DTS-DVC在体内的可行性,并值得进一步研究。基于生物力学的椎体骨质量评估有望改善我们对椎体骨折风险的理解和临床评估。

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