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Meta-Analysis: Narrow Band Imaging for Diagnosis of Gastric Intestinal Metaplasia

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  • Jia Song
  • Jixiang Zhang
  • Jun Wang
  • Xufeng Guo
  • Jing Wang
  • Ya Liu
  • Weiguo Dong

Abstract

Background: Distinguishing early gastric cancer is challenging with current imaging techniques. Narrow band imaging (NBI) is effective for characterizing gastric lesions. Objectives: The aim of this meta-analysis was to estimate the diagnostic accuracy of NBI in the gastric intestinal metaplasia (GIM). Methods: We performed data analysis using Meta-DiSc (version 1.4) and STATA (version 11.0) software. To assess study quality and potential for bias, we used the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. Results: Six studies involving 347 patients were included. On a per-patient basis, the sensitivity of NBI for diagnosis of GIM was 0.65 (95% CI = 0.56–0.74), and the specificity was 0.93 (95% CI = 0.88–0.97). The area under the summary receiver operating characteristic (SROC) curve was 0.8731. However, on a per-lesion basis, the sensitivity and specificity of NBI were 0.69 (95% CI = 0.63–0.74) and 0.91 (95% CI = 0.87–0.94), respectively. The SROC was 0.9009. The pooled sensitivity and specificity of magnification endoscopy (NBI-ME) were 0.76 (95% CI = 0.61–0.87) and 0.89 (95% CI = 0.80–0.94), respectively, on per-patient analysis. On a per-lesion basis, the pooled sensitivity and specificity of NBI-ME were 0.84 (95% CI = 0.76–0.89) and 0.93 (95% CI = 0.89–0.96), respectively. Heterogeneity was observed with an I2 for diagnostic odds ratio (DOR) of 0.01% and 85.8%, respectively. There was no statistical significance for the evaluation of publication bias. Conclusions: Our meta-analysis shows that NBI is a useful tool for differential diagnosis of GIM with relatively low sensitivity and high specificity.

Suggested Citation

  • Jia Song & Jixiang Zhang & Jun Wang & Xufeng Guo & Jing Wang & Ya Liu & Weiguo Dong, 2014. "Meta-Analysis: Narrow Band Imaging for Diagnosis of Gastric Intestinal Metaplasia," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-8, April.
    • Handle: RePEc:plo:pone00:0094869
    DOI: 10.1371/journal.pone.0094869
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    References listed on IDEAS

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    1. Benjamin Littenberg & Lincoln E. Moses, 1993. "Estimating Diagnostic Accuracy from Multiple Conflicting Reports," Medical Decision Making, , vol. 13(4), pages 313-321, December.
    2. Martin Hellmich & Keith R. Abrams & David R. Jones & Paul C. Lambert, 1998. "A Bayesian Approach to a General Regression Model for ROC Curves," Medical Decision Making, , vol. 18(4), pages 436-443, October.
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