4.6 Article

Comparison of the diagnostic efficacy of white light endoscopy and magnifying endoscopy with narrow band imaging for early gastric cancer: a meta-analysis

Journal

GASTRIC CANCER
Volume 19, Issue 2, Pages 543-552

Publisher

SPRINGER
DOI: 10.1007/s10120-015-0500-5

Keywords

Gastric cancer; Magnifying endoscopy; Narrow band imaging; White light endoscopy

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Magnifying endoscopy with narrow band imaging (ME-NBI) is widely used in gastroscopy, especially in the diagnosis of early gastric cancer. The purpose of this meta-analysis is to compare the diagnostic efficacy of white light imaging (WLI) and that of ME-NBI for early gastric cancer. PubMed/MEDLINE, EMBASE, and the Cochrane Library were searched to identify studies which met the inclusion criteria. A random-effects model was used to calculate overall sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC) to assess the diagnostic efficacy of WLI and ME-NBI in early gastric cancer. Sensitivity analysis was performed to assess the stability of the results. Ten studies met the inclusion criteria, and included 1724 patients and 2153 lesions. The pooled sensitivity, specificity, and AUC for the diagnosis of early gastric cancer using WLI were 0.48 [95 % confidence interval (CI) 0.39-0.57; I (2) = 78.6 %], 0.67 (95 % CI 0.62-0.71; I (2) = 81.9 %), and 0.62, respectively. The pooled sensitivity, specificity, and AUC using ME-NBI were 0.83 (95 % CI 0.79-0.87; I (2) = 79.8 %), 0.96 (95 % CI 0.95-0.97; I (2) = 89.3 %), and 0.96, respectively. The studies showed a high degree of heterogeneity. Further sensitivity analysis was mainly performed for the studies of small lesions (mean size 10 mm or less) and the studies with a the score of 12 points or greater in the literature quality assessment, and the AUCs for ME-NBI for diagnosis of early gastric cancer were between 0.93 and 0.98, which suggested that the diagnostic value was still high and stable. Compared with WLI, ME-NBI can effectively diagnose early gastric cancer.

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