Center of Experimental Orthopaedics, Saarland University, Homburg, Germany.
Department of Orthopaedic Surgery, Saarland University Medical Center, Homburg, Germany.
Sci Rep. 2018 Jan 8;8(1):75. doi: 10.1038/s41598-017-18426-3.
Selecting identical topographical locations to analyse pathological structural changes of the osteochondral unit in translational models remains difficult. The specific aim of the study was to provide objectively defined reference points on the ovine tibial plateau based on 2-D sections of micro-CT images useful for reproducible sample harvesting and as standardized landmarks for landmark-based 3-D image registration. We propose 5 reference points, 11 reference lines and 12 subregions that are detectable macroscopically and on 2-D micro-CT sections. Their value was confirmed applying landmark-based rigid and affine 3-D registration methods. Intra- and interobserver comparison showed high reliabilities, and constant positions (standard errors < 1%). Spatial patterns of the thicknesses of the articular cartilage and subchondral bone plate were revealed by measurements in 96 individual points of the tibial plateau. As a case study, pathological phenomena 6 months following OA induction in vivo such as osteophytes and areas of OA development were mapped to the individual subregions. These new reference points and subregions are directly identifiable on tibial plateau specimens or macroscopic images, enabling a precise topographical location of pathological structural changes of the osteochondral unit in both 2-D and 3-D subspaces in a region-appropriate fashion relevant for translational investigations.
选择相同的解剖位置来分析转化模型中骨软骨单位的病理性结构变化仍然具有挑战性。本研究的具体目的是基于微 CT 图像的 2D 切片,为重复性样本采集提供客观定义的参考点,并作为基于标志点的 3D 图像配准的标准化标志点。我们提出了 5 个参考点、11 条参考线和 12 个亚区,这些参考点和亚区在宏观上和 2D 微 CT 切片上都可以检测到。通过基于标志点的刚性和仿射 3D 配准方法验证了这些参考点和亚区的价值。内和观察者间的比较显示出高度的可靠性,并且位置恒定(标准误差 < 1%)。通过在胫骨平台的 96 个个体点进行测量,揭示了关节软骨和软骨下骨板的厚度的空间分布模式。作为一个案例研究,对体内诱导 OA 6 个月后的病理性现象,如骨赘和 OA 发展区域进行了映射,以定位到各个亚区。这些新的参考点和亚区可以直接在胫骨平台标本或宏观图像上识别,从而能够以适用于转化研究的区域相关方式在 2D 和 3D 子空间中精确定位骨软骨单位的病理性结构变化。