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CT灌注成像对孤立性肺结节诊断价值的Meta分析 被引量:3

Meta-analysis of the diagnostic value of CT perfusion imaging in solitary pulmonary nodules
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摘要 目的采用Meta分析评价cT灌注成像对孤立性肺结节的诊断价值。方法计算机检索Pubmed、CNKI和万方数据库,收集以CT灌注成像对孤立性肺结节进行诊断的相关文献。采用Meta-disc软件对纳入文献灌注参数值进行Meta分析,并绘制受试者工作特征曲线(SROC)。结果6篇文献纳入本次研究,Meta分析显示:合并DOR值为47.76(95%C120.34-112.14),各研究间异质性比较差异无统计学意义(Cochran—Q=3.25;P=0.6615);合并敏感度值为0.9(95%C10.86—0.94);合并特异度值为0.86(95%C10.76-0.93);阳性似然比值为5.11(95%C12.48~10.53):阴性似然比值为0.12(95%C10.08~0.18);合并曲线下面积为0.9503,但以血容量结合表面通透性为恶性结节的诊断阈值时,合并曲线下面积为0.9811。结论以血容量结合表面通透性为恶性结节的诊断阈值,能够提高灌注成像对孤立性肺结节的诊断价值。 Objective To evaluate the diagnostic value of CT perfusion imaging in solitary pul- monary nodules by using Meta-analysis. Methods Pubmed, CNKI and Wanfang Database were searched, to eollecte for diagnosis of solitary pulmonary nodules on CT perfusion imaging literature. The Meta-disc software meta-analysis included studies perfusion parameters, and draw the receiver operating characteristic curve( Summary ROC). Results The six studies were included in the study, Meta-anal- ysied showed that the combined DOR value was 47.76 (95% CI , 20. 34 - 112. 14) , there was no statis- tically significant between studies for the heterogeneity ( Cochran-Q = 3.25 ; P = 0. 6615 ). The pooled sensitivity value was 0. 9 ( 95 % CI , 0. 86 - 0. 94 ) , merger specificity value was 0. 86 ( 95 % CI , 0. 76 -0. 93), positive likelihood ratio was 5.11 (95% CI, 2. 48 - 10. 53), negative likelihood ratio was 0. 12 (95% CI , 0. 08 -0. 18) , merged area under the curve (AUC) was 0. 9503, but when combi- nation of surface permeability with blood volume for the diagnosis threshold of malignant nodules, the merged area under the curve was 0. 9503. Conclusions Combination of surface permeability with blood volume for the diagnosis threshold of malignant nodules, can improve the diagnostic value of perfusion im- aging in solitary pulmonary nodules.
作者 辛海东
出处 《中国实用医刊》 2013年第2期13-15,共3页 Chinese Journal of Practical Medicine
关键词 孤立性肺结节 体层摄影术 灌注成像 META分析 Solitary pulmonarynodule Tomography Perfusion imaging Metaanalysis
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