| 摘要: |
| 目的 通过Meta分析的方法评价超声造影对胰腺良恶性病变的鉴别诊断的价值。方法 检索Cochrone图书馆、PubMed、Embase、CNKI、万方、维普数据库,检索截止时间为2017年8月7日。由两名研究者分别进行文献筛选并提取相关信息。采用QUADAS工具对纳入文献的质量进行评价,采用Meta-Disc 1.4软件进行统计学分析。结果 共有20项研究(1356例研究对象)纳入本次Meta分析。超声造影鉴别胰腺良恶性病变的敏感度为0.88 [95%CI (0.85, 0.90)]、特异度为0.73 [95%CI (0.69, 0.77)]、阳性似然比为3.25 [95%CI (2.36, 4.48)]、阴性似然比为0.18 [95%CI (0.13, 0.25)]、诊断比值比为23.88 [95%CI (12.94, 44.09)]、AUC为0.8985、Q*指数为0.8297。各研究间存在异质性,未发现产生异质性的来源。结论 超声造影对胰腺良恶性病变具有较好的鉴别诊断价值。 |
| 关键词: 超声造影 胰腺 良恶性病变 诊断 Meta分析 |
| DOI： |
| 投稿时间：2017-09-11修订日期：2017-09-27 |
| 基金项目: |
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| The diagnostic value of contrast-enhanced ultrasound for benign and malignant pancreatic masses: a meta-analysis |
| WU Liangqun |
| (Department of Special Diagnosis,the 97th Hospital of PLA) |
| Abstract: |
| Objective To systematically review the diagnostic value of contrast-enhanced ultrasound for benign and malignant pancreatic masses. Methods By searching Cochrone liberary, PubMed, Embase, CNKI, Wanfang database and VIP database from establishment to 7 August 2017, all of the eligible articles which conformed to the inclusion and exclusion criteria were harvested. The methodological quality of each literature was evaluated by QUADAS tools. Statistical analysis was conducted by the Meta-Disc 1.4 software. Results A total of 20articles, 1356 cases were analyzed in this study. The pooled sensitivity, specificity, positive likelihood radio, negative likelihood ratio and diagnostic odds ratio of contrast-enhanced ultrasound in the diagnosis of benign and malignant pancreatic masses were 0.88 [95%CI (0.85, 0.90)], 0.73 [95%CI (0.69, 0.77)], 3.25 [95%CI (2.36, 4.48)], 0.18 [95%CI (0.13, 0.25)], 23.88 [95%CI (12.94, 44.09)], respectively. The AUC and Q* were 0.8985 and 0.8297. Significant heterogeneity was found between studies. The threshold effect was not the main source of heterogeneity. Conlusions Contrast-enhanced ultrasound is a valuable method in the diagnosis of benign and malignant pancreatic masses. |
| Key words: Contrast-enhanced ultrasound Pancreatic Benign and malignant pancreatic masses Diagnosis meta-analysis |
