Repeatability of objective bone and joint measures in the knee using weight-bearing computed tomography: three-dimensional quantification of bone mineral density, joint space width, and subchondral bone plate thickness

利用负重位计算机断层扫描对膝关节客观骨骼和关节测量进行重复性评估:骨矿物质密度、关节间隙宽度和软骨下骨板厚度的三维定量分析

阅读:2

Abstract

Bone alterations and degenerative joint structural changes are frequently observed in knee osteoarthritis (OA). Objective measures of subchondral bone plate thickness (SBP.Th), apparent BMD, and joint space width (JSW) have begun to be used to better assess and understand disease progression. Weight-bearing CT (WBCT) allows 3D assessment of multiple bone and joint parameters; however, there is a paucity of literature investigating factors that might affect our ability to track changes over time. The purpose of this study was to investigate the repeatability of BMD, JSW, and SBP.Th measures obtained from WBCT images. Same-day, scan-rescan, knee WBCT images were acquired from 37 healthy adults (20 female, mean age: 24.6 yr). We quantified trabecular bone BMD at the proximal tibia and implemented joint space and cortical bone mapping to measure tibiofemoral JSW and SBP.Th, respectively. Test-retest repeatability was evaluated using coefficients of variation (CV(RMS)%) and least significant change (LSC). Mean trabecular BMD exhibited CV(RMS)% ranging from 1.87% to 2.85% and LSCs between 13.53 and 17.39 mgHA/cm(3). For JSW, CV(RMS)% and LSC were less than 1% and 0.2 mm, respectively. SBP.Th measures had higher CV(RMS)% (9.75%-11.29%) but similar LSC values (0.09-0.26 mm) in comparison to JSW values. The high repeatability of subchondral bone and joint parameters underscore the potential of WBCT for quantifying and monitoring bone and joint changes in knee OA progression and management. However, standardization of acquisition and analysis methods will likely be required to ensure reliable evaluation over multiple time points.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。