MRI与MR关节造影诊断肩袖不同程度撕裂准确性的Meta分析

发布时间：2018-04-22 20:33

本文选题：磁共振成像 + 关节造影术　；参考：《中国医学影像技术》2016年10期

【摘要】：目的通过Meta分析评价MRI和MR关节造影(MRA)对肩袖不同程度撕裂的诊断价值。方法检索Cochrane图书馆、Embase、PubMed、万方、维普及CNKI等数据库,收集符合纳入标准的文献,并对文献进行评价和筛选。应用Metadisc及STATA软件对纳入的试验结果进行分析。结果共获取符合纳入标准的文献36篇,其中包含全层撕裂文献33组数据、部分撕裂文献25组数据。各研究间存在异质性。MRI及MRA诊断肩袖全层撕裂的汇总加权敏感度、特异度、SROC曲线下面积(AUC)分别为0.88[95%CI(0.85,0.90)]、0.95[95%CI(0.93,0.96)]、0.973 3、0.93[95%CI(0.91,0.95)]、0.96[95%CI(0.93,0.97)]、0.981 4。MRI及MRA诊断肩袖部分撕裂的汇总加权敏感度、特异度、SROC曲线下面积分别为0.70[95%CI(0.64,0.76)]、0.92[95%CI(0.89,0.94)]、0.824 3、0.82[95%CI(0.77,0.86)]、0.94[95%CI(0.92,0.95)]、0.937 6。两种检查手段对诊断肩袖不同程度撕裂的AUC差异无统计学意义。结论虽然MRA诊断肩袖撕裂的准确率高于MRI,但两者无显著差异。常规MRI诊断肩袖撕裂不明确时,可考虑采用MRA进一步检查。
[Abstract]:Objective to evaluate the diagnostic value of MRI and Mr arthrography in the diagnosis of rotator cuff tears by Meta analysis. Methods the databases of Cochrane library including Embase, Wanfang, Wiper and CNKI were searched, and the literatures that met the inclusion criteria were collected, and the literatures were evaluated and screened. The test results were analyzed by Metadisc and STATA software. Results A total of 36 articles were collected, including 33 groups of full-layer tear literature and 25 groups of partial tear literature. The sum weighted sensitivity of heterogeneity. MRI and MRA in the diagnosis of rotator cuff tears were 0.88 [95CI 0.850.90] 0.95 [95CI0.30.96] 0.973 3n 0.93 [95CI0.910.995] 0.96 [95CI0.930.97)] 0.981 4.MRI and 0.981 4.MRI and MRA in diagnosis of rotator cuff partial tear. The area under the SROC curve was 0.70 [95CI0.640.76)] 0.92 [95CI0.89 0.94] 0.82 [95CI0.770.86] 0.94 [95CI0.920.95] 0.937 6. There was no significant difference in AUC between the two methods in the diagnosis of rotator cuff tears. Conclusion although the accuracy of MRA in diagnosis of rotator cuff tear is higher than that of MRI, there is no significant difference between the two. Further examination with MRA may be considered when routine MRI diagnosis of rotator cuff tear is not clear.
【作者单位】：广州市红十字会医院暨南大学医学院附属广州红十字会医院放射科;
【基金】：国家自然科学基金(30973067) 广州市医药卫生科技项目(2014A011020)
【分类号】：R684;R445.2

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