摘要
目的采用Meta分析评价3.0T全心MRI对比增强冠状动脉成像(CE—CMRA)诊断冠状动脉狭窄的价值。方法检索2003年1月-2013年10月Pubmed、Cochrane协作网、Cochrane图书馆、OVID、Embase、中国生物医学文献数据库、中国学术期刊网全文数据库中关于3.0T全心CE-CMRA诊断冠状动脉狭窄的中英文文献,对纳入文献进行质量评估;采用Meta—Discversion1.4软件进行Meta分析,获得3.0-T全心CE-CMRA诊断冠状动脉狭窄的汇总敏感度和特异度,绘制汇总工作特征曲线(SROC),计算曲线下面积(Auc)。结果共纳入9篇文献。3.0T全心CE-CMRA诊断冠状动脉狭窄基于患者水平(n=477)的汇总敏感度和特异度分别为0.92(95%C10.88~0.95)和0.85(95%CI0.79~0.89),AUC为0.9201;基于血管水平(n=1740)分别为0.89(95%CI0.85~0.91)和0.90(95%CI0.88~0.92),AUC为0.9564;基于节段水平(n=4126)分别为0.85(95%CI0.82~0.88)和0.91(95%CI0.91~0.92),AUC为0.9506。结论3.0T全心CE-CMRA诊断冠状动脉狭窄的敏感度及特异度较高,具有广阔临床应用前景。
Objective To assess the value of 3.0T whole heart contrast enhanced coronary MR angiography (CE-CMRA) in diagnosing coronary artery stenosis using Meta analysis. Methods English or Chinese literature about the ability of 3.0T whole heart CE-CMRA in diagnosing coronary artery stenosis from Jan. 2003 to Nov. 2013 in Pubmed, Cochrane collaboration, Cochrane library, OVID, Ebase, CBMdisc and CNKI were searched. The quality of literature was assessed, and Meta-Disc version 1.4 was used to perform Meta analysis. The pooled sensitivity and pooled specificity of 3.0T whole heart CE-CMRA in diagnosing coronary artery stenosis were calculated, and the summary ROC was drawn to obtain the area under summary ROC. Results Totally 9 studies were considered for the analysis, 3 with quality of grade A and 6 with quality of grade B. The pooled sensitivity of 3.0T whole heart CE-CMRA was 0.92 (95 %CI 0. 88-0. 95), pooled specificityof0.85 (95%0CI0.79 0.89) and AUC of 0. 9201on patient level (n=477), on vessel-based level (n=1740) was0.89 (95%CI 0. 85-0. 91) , 0.90 (95 %CI 0. 88-0. 92) respectively and AUC of 0. 9564, while on segment level (n=4126) was 0.85 (95%CI 0. 82-0. 88), 0.91 (95%CI 0. 91-0. 92) respectively and AUC of 0. 9506. Conclusion 3.0T whole heart CE-CMRA has high sensitivity and specificity in diagnosing coronary stenosis segments, therefore having wide prospect of clinical application.
出处
《中国医学影像技术》
CSCD
北大核心
2014年第6期867-871,共5页
Chinese Journal of Medical Imaging Technology