Bone and Joint Center, Henry Ford Hospital, Detroit, MI, United States.
Department of Radiology, Henry Ford Hospital, Detroit, MI, United States.
J Biomech. 2022 Apr;135:111021. doi: 10.1016/j.jbiomech.2022.111021. Epub 2022 Feb 24.
Creep deformation of human vertebrae accumulates under physiological levels of load and is understood to contribute to the progression toward clinically observable vertebral fracture. However, little information is available in terms of clinically measurable predictors of creep behavior in human vertebrae. In this study, creep tests were performed on 22 human cadaveric T12 vertebrae (13 male, 9 female; age 41-90). Areal and volumetric bone density parameters were measured from the same specimens using dual x-ray absorptiometry and high resolution computed tomography. Image textural analyses (which probe the organization of image intensities within the cancellous bone in low resolution clinical imaging) were performed using digital tomosynthesis (DTS) images. Multiple regression models were constructed to examine the relationship between creep properties and bone density and DTS image textural parameters. For the standard clinical imaging configuration, models including DTS derived image textural parameters alone were generally more explanatory (adjusted R: 0.14-0.68) than those with bone density parameters forced in the models (adjusted R: 0.17-0.61). Metrics of textural heterogeneity and anisotropy presented as the most explanatory imaging markers for creep deformation and recovery from creep. These metrics of image texture may help provide, independent from bone mass, important clinically measurable indicators of the time dependent deformation of human vertebrae.
人类椎体的蠕变变形在生理负荷水平下累积,并被认为是导致临床可观察到的椎体骨折进展的原因。然而,关于人类椎体蠕变行为的临床可测量预测因子的信息很少。在这项研究中,对 22 个人体 T12 尸体椎体(13 名男性,9 名女性;年龄 41-90 岁)进行了蠕变试验。使用双能 X 线吸收仪和高分辨率计算机断层扫描从同一标本中测量了面积和体积骨密度参数。使用数字断层合成(DTS)图像对图像纹理分析(探测低分辨率临床成像中松质骨内图像强度的组织)进行了分析。建立了多元回归模型,以研究蠕变特性与骨密度和 DTS 图像纹理参数之间的关系。对于标准临床成像配置,仅包括 DTS 衍生的图像纹理参数的模型通常比那些将骨密度参数强制纳入模型的模型更具解释性(调整后的 R:0.14-0.68)。纹理异质性和各向异性的度量值作为蠕变变形和蠕变恢复的最具解释性成像标志物。这些图像纹理的度量值可能有助于提供独立于骨量的、与人类椎体时间相关变形相关的重要临床可测量指标。