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超声造影诊断小肝细胞癌的Meta分析

A meta-analysis of contrast-enhanced ultrasound for small hepatocellular carcinoma diagnosis.

作者信息

Deng Huadong, Shi Hongwei, Lei Jianming, Hu Yan, Li Gang, Wang Chaojun

机构信息

Department of Ultrasound, Lishui People's Hospital, The 6th Affiliated Hospital of Wenzhou Medical University, Zhejiang, Lishui 323000, PR China.

出版信息

J Cancer Res Ther. 2016 Dec;12(Supplement):C274-C276. doi: 10.4103/0973-1482.200756.

DOI:10.4103/0973-1482.200756
PMID:28230035
Abstract

OBJECTIVE

To discuss the efficacy of contrast-enhanced ultrasound (CEUS) for diagnosis of small hepatocellular carcinoma (HCC) by pooling the open published data.

METHODS

A comprehensive publication electronic search was performed by reviewers in the databases of PubMed, Embase, Web of Science, and China National Knowledge Infrastructure. The open published studies about CEUS for small HCC diagnosis were collected. The sensitivity, specificity, positive likelihood ratio (+LR), negative likelihood ratio (-LR), and diagnostic odds ratio (DOR) were pooled by stata 12.0 software.

RESULTS

A total of 16 studies were included in the present study. The sensitivity, specificity, +LR, and -LR were aggregated by random effects model because of significant heterogeneity (I2 >50.0%). However, DOR was pooled by fixed effects model without significant heterogeneity (I2 <50.0%). The aggregate sensitivity was 0.86 (95% confidence interval [CI]: 0.79-0.91); the aggregate specificity was 0.87 (95% CI: 0.75-0.94); the aggregate +LR and -LR were 7.06 (95% CI: 1.64-30.36) and 0.20 (95% CI: 1.64-30.36), respectively. The DOR was 33.71 (95% CI: 20.34-55.88); the area under the receiver operating characteristic was 0.93 (95% CI: 0.90-0.95). There was significant publication bias tested by funnel plot and line regression test (t = 2.29, P < 0.05).

CONCLUSION

With the present evidence, CEUS is useful for diagnosis of small HCC with relatively high sensitivity and specificity.

摘要

目的

通过汇总公开的已发表数据,探讨超声造影(CEUS)诊断小肝细胞癌(HCC)的疗效。

方法

由审阅者在PubMed、Embase、Web of Science和中国知网数据库中进行全面的电子文献检索。收集关于CEUS诊断小HCC的公开已发表研究。使用Stata 12.0软件汇总敏感性、特异性、阳性似然比(+LR)、阴性似然比(-LR)和诊断比值比(DOR)。

结果

本研究共纳入16项研究。由于存在显著异质性(I2>50.0%),敏感性、特异性、+LR和-LR采用随机效应模型进行汇总。然而,DOR采用固定效应模型进行汇总,无显著异质性(I2<50.0%)。汇总敏感性为0.86(95%置信区间[CI]:0.79-0.91);汇总特异性为0.87(95%CI:0.75-0.94);汇总+LR和-LR分别为7.06(95%CI:1.64-30.36)和0.20(95%CI:0.12-0.32)。DOR为33.71(95%CI:20.34-55.88);受试者工作特征曲线下面积为0.93(95%CI:0.90-0.95)。通过漏斗图和线性回归检验检测到显著的发表偏倚(t=2.29,P<0.05)。

结论

基于现有证据,CEUS对小HCC的诊断具有较高的敏感性和特异性,是一种有用的诊断方法。

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