Dinescu Andreea Teodora, Zhou Bin, Hu Yizhong Jenny, Agarwal Sanchita, Shane Elizabeth, Guo Xiang-Dong Edward
Bone Bioengineering Laboratory, Department of Biomedical Engineering, Columbia University, New York, NY, 10027, United States.
Division of Endocrinology, Department of Medicine, Columbia University, New York, NY, 10032, United States.
JBMR Plus. 2024 Jan 4;8(3):ziae007. doi: 10.1093/jbmrpl/ziae007. eCollection 2024 Feb.
High-resolution peripheral quantitative computed tomography (HR-pQCT) has been used for in vivo 3D visualization of trabecular microstructure. Second-generation HR-pQCT (HR-pQCT II) has been shown to have good agreement with first generation HR-pQCT (HR-pQCT I). Advanced Individual Trabecula Segmentation (ITS) decomposes the trabecula network into individual plates and rods. ITS based on HR-pQCT I showed a strong correlation to ITS based on micro-computed tomography (μCT) and identified trabecular changes in metabolic bone diseases. ITS based on HR-pQCT II has new potential because of the enhanced resolution but has yet to be validated. The objective of this study was to assess the agreement between ITS based on HR-pQCT I, HR-pQCT II, and μCT to assess the capability of ITS on HR-pQCT images as a tool for studying bone structure. Freshly frozen tibia and radius bones were scanned in the distal region using HR-pQCT I at 82 μm, HR-pQCT II at 60.7 μm, and μCT at 37 μm. Images were registered, binarized, and ITS analysis was performed. Bone volume fraction (pBV/TV, rBV/TV), number density (pTb.N, rTb.N), thickness (pTb.Th, rTb.Th), and plate-to-rod (PR) ratio (pBV/rBV) of trabecular plates and rods were obtained. Paired Student's -tests with post hoc Bonferroni analysis were used to examine the differences. Linear regression was used to determine the correlation coefficient. The HR-pQCT I parameters were different from the μCT measurements. The HR-pQCT II parameters were different from the μCT measurements except for rTb.N, and the HR-pQCT I parameters were different from the HR-pQCT II measurements except for pTb.Th. The strong correlation between HR-pQCT II and μCT microstructural analysis (R = 0.55-0.94) suggests that HR-pQCT II can be used to assess changes in plate and rod microstructure and that values from HR-pQCT I can be corrected.
高分辨率外周定量计算机断层扫描(HR-pQCT)已用于小梁微结构的体内三维可视化。第二代HR-pQCT(HR-pQCT II)已被证明与第一代HR-pQCT(HR-pQCT I)具有良好的一致性。先进的个体小梁分割(ITS)将小梁网络分解为单个的板和杆。基于HR-pQCT I的ITS与基于微计算机断层扫描(μCT)的ITS显示出很强的相关性,并识别出代谢性骨病中的小梁变化。基于HR-pQCT II的ITS由于分辨率提高而具有新的潜力,但尚未得到验证。本研究的目的是评估基于HR-pQCT I、HR-pQCT II和μCT的ITS之间的一致性,以评估HR-pQCT图像上ITS作为研究骨结构工具的能力。使用82μm的HR-pQCT I、60.7μm的HR-pQCT II和37μm的μCT对新鲜冷冻的胫骨和桡骨远端区域进行扫描。对图像进行配准、二值化处理,并进行ITS分析。获得小梁板和杆的骨体积分数(pBV/TV,rBV/TV)、数量密度(pTb.N,rTb.N)、厚度(pTb.Th,rTb.Th)以及板杆比(PR)(pBV/rBV)。采用配对学生t检验和事后Bonferroni分析来检验差异。使用线性回归确定相关系数。HR-pQCT I参数与μCT测量值不同。除rTb.N外,HR-pQCT II参数与μCT测量值不同,除pTb.Th外,HR-pQCT I参数与HR-pQCT II测量值不同。HR-pQCT II与μCT微结构分析之间的强相关性(R = 0.55 - 0.94)表明,HR-pQCT II可用于评估板和杆微结构的变化,并且HR-pQCT I的值可以校正。