Antill A C, Ballard D H, Hollister A M, Rogers E J, Yang S, Lokitz S J
Department of Surgery, Louisiana State University Health Shreveport, 1501 Kings Highway, Shreveport, 71130 Louisiana, USA.
Department of Radiology, Louisiana State University Health Shreveport, 1501 Kings Highway, Shreveport, 71130 Louisiana, USA; Department of Orthopaedic Surgery, Louisiana State University Health Shreveport, 1501 Kings Highway, Shreveport, 71130 Louisiana, USA.
Diagn Interv Imaging. 2016 Jun;97(6):651-5. doi: 10.1016/j.diii.2015.12.007. Epub 2016 Jan 15.
The primary goal of this study was to demonstrate the value of micro-CT imaging in a rheumatoid arthritis (RA) mouse model. The secondary goal was to assess whether manual correction of the articular surface regions of interest (ROI) identification of the semi-automated methods may result in more effective assessment of bone volume and density loss.
Collagen-induced arthritis (CIA) was induced in six DBA/1J mice at 12 weeks of age and three other DBA/1J identical mice served as controls. Micro-CT images were acquired at baseline and at four, seven, and nine weeks post-induction. Disease was monitored via ROI analysis, and ROIs were first generated using semi-automated techniques. These ROIs were manually manipulated so that a variety of edge irregularities were corrected. Effort was focused on the proximal and distal humerus and the distal femur. ROI volume and density were calculated, and data were compared. A histologic analysis of the study mice was also performed after the last time frame.
There was a significant difference between the volume data comparison between the manually manipulated data and the semi-automated routine data across all time frames and across both humeri and femurs. There was no significant difference in densities calculated in Hounsfield units across any of the time frames, humeri or femurs, except for one time frame.
Our findings suggest that the manual correction technique of semi-automated data can be used to quantify and evaluate bone volume, density, and joint surface architecture changes in a RA mouse model.
本研究的主要目标是证明微计算机断层扫描（micro-CT）成像在类风湿性关节炎（RA）小鼠模型中的价值。次要目标是评估手动校正半自动方法中感兴趣的关节表面区域（ROI）识别是否可能导致对骨体积和密度损失进行更有效的评估。
在6只12周龄的DBA/1J小鼠中诱导胶原诱导的关节炎（CIA），另外3只相同的DBA/1J小鼠作为对照。在基线以及诱导后4周、7周和9周采集微CT图像。通过ROI分析监测疾病情况，首先使用半自动技术生成ROI。对这些ROI进行手动操作，以校正各种边缘不规则性。重点关注肱骨近端和远端以及股骨远端。计算ROI体积和密度，并比较数据。在最后一个时间点后，还对研究小鼠进行了组织学分析。
在所有时间点以及肱骨和股骨的手动操作数据与半自动常规数据之间的体积数据比较中，存在显著差异。除了一个时间点外，在任何时间点、肱骨或股骨中，以亨氏单位计算的密度均无显著差异。
我们的研究结果表明，半自动数据的手动校正技术可用于量化和评估RA小鼠模型中的骨体积、密度和关节表面结构变化。
