Department of Biomedical Engineering, University of Florida, Gainesville, 32611, USA.
Med Phys. 2010 Aug;37(8):4343-54. doi: 10.1118/1.3467755.
The aim of this study was to investigate the potential use of multimodality functional imaging techniques to identify the quantitative optical findings that can be used to distinguish between osteoarthritic and normal finger joints.
Between 2006 and 2009, the distal interphalangeal finger joints from 40 female subjects including 22 patients and 18 healthy controls were examined clinically and scanned by a hybrid imaging system. This system integrated x-ray tomosynthetic setup with a diffuse optical imaging system. Optical absorption and scattering images were recovered based on a regularization-based hybrid reconstruction algorithm. A receiver operating characteristic curve was used to calculate the statistical significance of specific optical features obtained from osteoarthritic and healthy joints groups.
The three-dimensional optical and x-ray images captured made it possible to quantify optical properties and joint space width of finger joints. Based on the recovered optical absorption and scattering parameters, the authors observed statistically significant differences between healthy and osteoarthritis finger joints.
The statistical results revealed that sensitivity and specificity values up to 92% and 100%, respectively, can be achieved when optical properties of joint tissues were used as classifiers. This suggests that these optical imaging parameters are possible indicators for diagnosing osteoarthritis and monitoring its progression.
本研究旨在探讨多模态功能成像技术的潜在应用,以识别可用于区分骨关节炎和正常手指关节的定量光学发现。
在 2006 年至 2009 年间,对 40 名女性受试者(包括 22 名患者和 18 名健康对照者)的远节指间手指关节进行了临床检查和混合成像系统扫描。该系统将 X 射线断层摄影设备与漫射光学成像系统集成在一起。基于基于正则化的混合重建算法,恢复了光学吸收和散射图像。使用接收器操作特性曲线计算来自骨关节炎和健康关节组的特定光学特征的统计显著性。
捕获的三维光学和 X 射线图像使定量评估手指关节的光学特性和关节间隙宽度成为可能。基于恢复的光学吸收和散射参数,作者观察到健康和骨关节炎手指关节之间存在统计学上的显著差异。
统计结果表明,当关节组织的光学特性用作分类器时,可达到高达 92%和 100%的灵敏度和特异性值。这表明这些光学成像参数可能是诊断骨关节炎和监测其进展的指标。