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作 者:刘欣[1] 杨海涛[1] 王琪琪 周素颖 赵洁 LIU Xin;YANG Haitao;WANG Qiqi;ZHOU Suying;ZHAO Jie(Department of Radiology,the First Affiliated Hospital of Chongqing Medical University,Chongqing 400016,China)
机构地区:[1]重庆医科大学附属第一医院放射科,重庆400016
出 处:《磁共振成像》2021年第5期50-54,共5页Chinese Journal of Magnetic Resonance Imaging
基 金:2020年重庆科卫联合医学科研项目(编号:2020MSXM034)。
摘 要:目的探讨基于MR T2WI图像纹理分析鉴别类风湿关节炎(rheumatoid arthritis,RA)和痛风性关节炎(gouty arthritis,GA)的可行性。材料与方法回顾性分析经临床综合确诊的RA患者81个关节和GA患者61个关节的MRI图像,从T2WI脂肪抑制图像中提取纹理特征,筛选出一致性较好(ICC>0.75)的纹理特征进行统计分析。结果一阶统计量、灰度共生矩阵、灰度长度矩阵、灰度形状矩阵特征纹理分析分别有10、9、6、5个组间差异具有统计学意义(P<0.05),对应AUC值分别为0.898、0.826、0.831、0.830。多特征集联合分析的AUC值为0.902。一阶统计量特征中的Minimum在所有单个纹理特征中AUC值(0.836)最大。结论基于MR T2WI抑脂单序列图像纹理分析能有效鉴别RA与GA,不同特征集纹理分析对于鉴别RA与GA具有一定价值,以一阶统计量特征最佳。Objective:To evaluate the feasibility of texture analysis based on MR T2WI for differentiating rheumatoid arthritis(RA)from gouty arthritis(GA).Materials and Methods:The MRI imaging data of 81 joints with RA and 61 joints with GA were retrospectively analyzed.Texture features were extracted from T2WI fat saturated sequence image,and the texture features with good consistency(ICC>0.75)were selected for statistical analysis.Results:There were significant differences in 10,9,6 and 5 texture features in the first order statistics,GLCM,GLRLM,and GLSZM(P<0.05),corresponding AUC value were 0.898,0.826,0.831 and 0.830,respectively.The AUC value of all texture feature sets combined analysis was 0.902.The minimum in the first order statistics showed the maximum AUC value(0.836)of all individual texture features.Conclusions:Texture analysis based on MR TaWI fat saturated single sequence image could effectively identify RA from GA.Texture analysis of different texture feature sets displayed certain value for differentiating RA from GA,and the texture features in the first order statistics set showed the best identification efficiency.
关 键 词:类风湿关节炎 痛风性关节炎 纹理分析 鉴别诊断 磁共振成像
分 类 号:R445.2[医药卫生—影像医学与核医学] R684.3[医药卫生—诊断学]
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