Background:The comparison between endoscopic ultrasound guided fine needle aspiration (EUS-FNA) and endoscopic ultrasound guided fine needle biopsy (EUS-FNB) for the diagnosis of pancreatic masses is still controversial. Many factors can affect the final results.Methods:Databases, such as PubMed, EMBASE, Cochrane Library, and Science Citation Index updated from 2000 to 2016 were searched to include eligible articles. In the meta-analysis, the main outcome measurements were the diagnostic accuracy, number of needle passes, specimen adequacy, the rate of complications, and technical success.Results:Eight randomized controlled trials (RCTs) were identified, and a total of 921 cases were included in the meta-analysis. The diagnostic accuracy was not significantly different between the FNA and FNB groups. The specimen adequacy was higher in the FNB group compared with the FNA group. The number of needle passes to obtain sufficient tissue was lower in the FNB group. The rate of adverse events and technical success did not significantly differ between the 2 groups. But, the forest plot showed a trend toward lower technical success rate and a trend toward higher diagnostic accuracy in the FNB group, compared with FNA.Conclusion:We provide the evidence that FNB is comparable to FNA in terms of diagnostic accuracy, adverse events, and technical success. FNB gives higher specimen adequacy than that of FNA, despite performance of fewer needle passes.

In order to predict related risk factors for lymph node metastasis (LNM) in patients with superficial esophageal carcinoma (SEC) and provide reference for endoscopic minimally invasive treatment, we included a total of 93 patients with superficial esophageal carcinoma who have underwent esophagectomy and lymph node dissection from 2010 to 2015. The depth of invasion was remeasured and classified into 6 groups according to their wall penetration. The prediction model was founded based on the independent risk factors. The results shows that lymph node metastasis of m1, m2, m3, sm1, sm2, and sm3 of superficial esophageal carcinoma was 0%, 0%, 5.3%, 8.7%, 17.6%, and 37.5%, respectively. The tumor size, differentiation, and lymphvascular invasion were also significantly related to lymph node metastasis by univariate analysis. Multivariate analysis showed that the depth of invasion and lymphovascular invasion were independent risk factors of lymph node metastasis. A prediction model for lymph node metastasis was established as follows: p = e x/(1 + e x), and x = −5.469 + 0.839 × depth of invasion + 1.992 × lymphavascular metastasis. The area under ROC curve was 0.858 (95% CI: 0.757–0.959). It was also shown that the depth of invasion was related to tumor differentiation, macroscopic type, and tumor size.

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