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生物力学 CT 计算骨强度可预测后续椎体骨折的风险。

Biomechanical CT-computed bone strength predicts the risk of subsequent vertebral fracture.

机构信息

Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.

Department of Spinal Surgery, Beijing Jishuitan Hospital, Beijing 100035, China.

出版信息

Bone. 2023 Jan;166:116601. doi: 10.1016/j.bone.2022.116601. Epub 2022 Nov 3.

Abstract

Following primary fractures and percutaneous kyphoplasty (PKP), patients have a high risk of incurring a subsequent vertebral fracture (SVF). Given that SVF is a consequence of mechanical deterioration of the vertebra, we sought to examine whether vertebral strength derived from QCT-based finite element analysis (i.e., BCT) can predict the risk of SVF. Sixty-six patients who underwent PKP were categorized into two groups: control or non-SVF group (age: 70 ± 7 years; n = 40) and SVF group (age: 69 ± 8 years; n = 26). BCT was performed on L4 or L3 vertebrae to noninvasively measure vertebral strength. Vertebral strength was also estimated based upon the geometry and material properties of the vertebra. Additionally, trabecular volumetric bone mineral density (vBMD) and L1 Hounsfield unit (HU) were measured. t-Test, χ test or Mann Whitney U test were used to compare differences in these parameters between the two groups. The predictive abilities of BCT strength and other measured parameters were evaluated using the receiver operating characteristic (ROC) analysis. Results showed no significant difference in either vBMD or L1 HU between the control and SVF groups (p > 0.05), whereas BCT-computed and estimated vertebral strength values were significantly reduced by 33 % and 24 % for the SVF group relative to the non-SVF group, respectively. ROC curve indicated that BCT strength had the largest area under the curve, compared to other parameters. These results suggest that BCT-computed vertebral strength may serve as a surrogate for assessing risk of SVF.

摘要

在初次骨折和经皮椎体后凸成形术(PKP)后,患者发生后续椎体骨折(SVF)的风险很高。鉴于 SVF 是椎体机械恶化的结果,我们试图研究基于 QCT 的有限元分析得出的椎体强度(即 BCT)是否可以预测 SVF 的风险。66 名接受 PKP 的患者分为两组:对照组或非 SVF 组(年龄:70±7 岁;n=40)和 SVF 组(年龄:69±8 岁;n=26)。在 L4 或 L3 椎体上进行 BCT 以无创测量椎体强度。还根据椎体的几何形状和材料特性估计椎体强度。此外,还测量了小梁体积骨矿物质密度(vBMD)和 L1 亨氏单位(HU)。使用 t 检验、卡方检验或曼-惠特尼 U 检验比较两组之间这些参数的差异。使用受试者工作特征(ROC)分析评估 BCT 强度和其他测量参数的预测能力。结果显示,对照组和 SVF 组之间的 vBMD 或 L1 HU 没有显著差异(p>0.05),而与非 SVF 组相比,SVF 组的 BCT 计算和估计的椎体强度值分别降低了 33%和 24%。ROC 曲线表明,与其他参数相比,BCT 强度的曲线下面积最大。这些结果表明,BCT 计算的椎体强度可以作为评估 SVF 风险的替代指标。

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