Individual trabecula segmentation validation in first- and second-generation high-resolution peripheral computed tomography compared to micro-computed tomography in the distal radius and tibia.
Andreea Teodora Dinescu, Bin Zhou, Yizhong Jenny Hu, Sanchita Agarwal, Elizabeth Shane, Xiang-Dong Edward Guo
{"title":"Individual trabecula segmentation validation in first- and second-generation high-resolution peripheral computed tomography compared to micro-computed tomography in the distal radius and tibia.","authors":"Andreea Teodora Dinescu, Bin Zhou, Yizhong Jenny Hu, Sanchita Agarwal, Elizabeth Shane, Xiang-Dong Edward Guo","doi":"10.1093/jbmrpl/ziae007","DOIUrl":null,"url":null,"abstract":"<p><p>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 <i>t</i>-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<sup>2</sup> = 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.</p>","PeriodicalId":14611,"journal":{"name":"JBMR Plus","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10945717/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JBMR Plus","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/jbmrpl/ziae007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/2/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
Abstract
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 t-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 (R2 = 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）已被用于体内小梁微结构的三维可视化。第二代高分辨外周定量计算机断层扫描（HR-pQCT II）与第一代高分辨外周定量计算机断层扫描（HR-pQCT I）具有良好的一致性。先进的单个小梁分割（ITS）将小梁网络分解为单个板和棒。基于 HR-pQCT I 的 ITS 与基于显微计算机断层扫描（μCT）的 ITS 有很强的相关性，并能识别代谢性骨病的骨小梁变化。基于 HR-pQCT II 的 ITS 由于分辨率的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 图像上的 ITS 作为骨结构研究工具的能力。使用 82 μm 的 HR-pQCT I、60.7 μm 的 HR-pQCT II 和 37 μm 的 μCT 扫描新鲜冷冻的胫骨和桡骨远端区域。对图像进行注册、二值化和 ITS 分析。获得骨小梁板和骨小梁棒的骨体积分数（pBV/TV、rBV/TV）、数量密度（pTb.N、rTb.N）、厚度（pTb.Th、rTb.Th）和板棒比（PR）（pBV/rBV）。采用配对学生 t 检验和事后 Bonferroni 分析来检验差异。线性回归用于确定相关系数。HR-pQCT I参数与μCT测量结果不同。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 显微结构分析之间的强相关性（R2 = 0.55-0.94）表明，HR-pQCT II 可用于评估板材和棒材显微结构的变化，HR-pQCT I 的值可进行校正。
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
