The aim of this study was to quantify sub-resolution trabecular bone morphometrics, which are also related to osteoarthritis (OA), from clinical resolution cone beam computed tomography (CBCT). Samples (n = 53) were harvested from human tibiae (N = 4) and femora (N = 7). Grey-level co-occurrence matrix (GLCM) texture and histogram-based parameters were calculated from CBCT imaged trabecular bone data, and compared with the morphometric parameters quantified from micro-computed tomography. As a reference for OA severity, histological sections were subjected to OARSI histopathological grading. GLCM and histogram parameters were correlated to bone morphometrics and OARSI individually. Furthermore, a statistical model of combined GLCM/histogram parameters was generated to estimate the bone morphometrics. Several individual histogram and GLCM parameters had strong associations with various bone morphometrics (|r| > 0.7). The most prominent correlation was observed between the histogram mean and bone volume fraction (r = 0.907). The statistical model combining GLCM and histogram-parameters resulted in even better association with bone volume fraction determined from CBCT data (adjusted R2 change = 0.047). Histopathology showed mainly moderate associations with bone morphometrics (|r| > 0.4). In conclusion, we demonstrated that GLCM- and histogram-based parameters from CBCT imaged trabecular bone (ex vivo) are associated with sub-resolution morphometrics. Our results suggest that sub-resolution morphometrics can be estimated from clinical CBCT images, associations becoming even stronger when combining histogram and GLCM-based parameters.

中文翻译：

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使用临床计算机断层扫描技术量化骨的3D形态的亚分辨率。

这项研究的目的是从临床分辨率锥束计算机断层扫描（CBCT）中量化与骨关节炎（OA）相关的亚分辨率小梁骨形态计量学。从人胫骨（N = 4）和股骨（N = 7）中采集样本（n = 53）。从CBCT成像的骨小梁数据计算灰度共现矩阵（GLCM）纹理和基于直方图的参数，并将其与通过微计算机断层扫描定量的形态学参数进行比较。作为OA严重程度的参考，对组织切片进行OARSI组织病理学分级。GLCM和直方图参数分别与骨形态和OARSI相关。此外，生成了组合GLCM /直方图参数的统计模型以估计骨骼形态。几个单独的直方图和GLCM参数与各种骨骼形态之间有很强的联系（| r |> 0.7）。在直方图平均值与骨体积分数之间观察到最显着的相关性（r = 0.907）。结合GLCM和直方图参数的统计模型可以更好地与从CBCT数据确定的骨体积分数相关（调整后的R2变化= 0.047）。组织病理学显示主要与骨形态计量学有关（| r |> 0.4）。总之，我们证明了CBCT成像的小梁骨（离体）的GLCM和基于直方图的参数与亚分辨率形态计量学相关。我们的结果表明，可以从临床CBCT图像估计亚分辨率形态计量学，当结合直方图和基于GLCM的参数时，关联变得更加牢固。