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基于红外热成像的膝关节骨性关节炎早期筛查临床研究

Clinical research of knee osteoarthritis screening based on infrared thermography

作者: 金超  杨阳  薛祖军  刘克敏  刘静                  
单位:                      清华大学医学院生物医学工程系(北京100084)        
关键词:                     骨性关节炎;早期筛查;红外热成像;自动诊断          
分类号:
出版年·卷·期(页码):2014·33·5(456-462)
摘要:

目的 为评估骨性关节炎早期疼痛症状的热表现,并探索红外热成像识别早期关节异常的适用性,本文发展出一种用于膝关节骨性关节炎的红外热成像筛查方法。方法 本研究在中国康复研究中心开展,共招募膝关节测试对象177例并采集其双膝关节红外热图像。基于大量临床红外热图数据,通过总结正常与异常膝关节间温度分布与特征差异,实现一种以髌骨为中心的膝关节热诊断方法。结果 此方法的初步诊断准确率达91.6%(P<0.05),识别异常关节热分布的灵敏度为93.5%。结论 此方法对于膝关节早期异常的发现有良好的筛查效果,且适合推广于大规模关节筛查与体检中。

Objective To characterize the early pain-induced thermal manifestations of knee joints, an accessible thermographic method for screening the abnormalities related to knee OA was developed. Methods One hundred and seventy-seven subjects were enrolled and the thermal images of knee joints were captured in China Rehabilitation Research Centre (CRRC). By quantitatively characterizing the temperature distributions and features of all the knee joints, a thermal screening method based on patella-centering was performed. Results Based on this method, the average screening accuracy rate of 91.6% (P<0.05) and sensitivity of 93.5% were obtained in distinguishing normal and abnormal cases. Conclusions This method shows high performance for screening the abnormal knee joints, which can be further utilized in the joint disease screening and physical examination.

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