摘要
目的：采用Meta分析的方法探讨超声造影对肾囊性病变的诊断价值。资料与方法：以contrast enhanced，US，cystic，renal mass，超声造影，囊性肾癌，肾囊性病变等为关键词，检索cochrane图书馆、PubMed、Embase、中国知网、万方数据服务平台等数据库中的中英文文献。使用Meta-Disc软件，对采用的文献数据进行异质性检验，计算其汇总灵敏度、特异度、阳性似然比和阴性似然比，描绘受检者工作特征曲线（SROC），通过曲线下面积评估超声造影诊断肾囊性肿块的价值。使用QUADAS条目进行文献质量评价。结果：经检索总共采纳7篇文献，其中4篇为中文，3篇为英文。按照随机效应模型合并，结果其汇总灵敏度、特异度、阳性似然比、阴性似然比和诊断试验比值比分别为0.92、0.84、4.54、0.09、69.9，SROC曲线下面积为95.2%。结论：超声造影对肾囊性病变具有较好的诊断和临床应用价值。
Abstract
Objective: To assess the diagnostic value of contrast enhanced ultrasound technology in the diagnosis of cystic renal masses by Meta-analysis. Methods: Contrast enhanced ultrasound and cystic renal masses were selected as the keywords. Searching the Cochrane library, PubMed, Embase, CNKI and the WANFANG DATA, the original data were abstracted and performed heterogeneity test with the Meta-Disc software. The weighted sensitivity, specificity, positive likelihood ratio and negative likelihood ratio were calculated, as well as the summary receiver operating characteristic(SROC) curve. Further estimated the diagnostic value of contrast enhanced ultrasound in the research of cystic renal masses by calculating the area under the curve. The quality of evidence in researches were evaluated by QUADAS items. Result: A total of 7 studies including four Chinese papers and three English articles were adopted for Meta-analysis. According to the random effects model, the weighted sensitivity, specificity, positive likelihood ratio, negative likelihood ratio，diagnostic odds ratio were 0.92, 0.84, 4.54, 0.09, 69.9, respectively; and the area under the curve was 0.952. Conclusion: Contrast enhanced ultrasound technology has a good diagnostic and clinical value in the study of cystic renal masses.
关键词
肾肿瘤 /
肾 /
囊性 /
超声检查 /
Meta分析
Key words
Kidney neoplasms /
Kidney /
cystic /
Ultrasonography /
Meta-analysis
吴 磊;查云飞;陈 文;龚晓虹.
超声造影诊断肾囊性病变价值的Meta分析[J]. 中国临床医学影像杂志. 2013, 24(11): 780-783
WU Lei;ZHA Yun-fei;CHEN Wen;GONG Xiao-hong.
Diagnostic value of contrast enhanced US for cystic renal masses: a Meta analysis[J]. Journal of China Clinic Medical Imaging. 2013, 24(11): 780-783
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