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Meta-Analysis
. 2018 Jan 11;8(1):515.
doi: 10.1038/s41598-017-19069-0.

The value of narrow band imaging in diagnosis of head and neck cancer: a meta-analysis

Hui Zhou  1 , Jing Zhang  1 , Linghong Guo  1 , Ji Nie  2   1 , Chenjing Zhu  2   1 , Xuelei Ma  3   4
Affiliations
Meta-Analysis

The value of narrow band imaging in diagnosis of head and neck cancer: a meta-analysis

Hui Zhou et al. Sci Rep. .

Abstract

Head and neck cancer is difficult to diagnose early. We aimed to estimate the diagnosis value of narrow band imaging(NBI) in head and neck cancers. We identified relevant studies through a search of PubMed, Embase and the Cochrane Library. We used a random effect model. Subgroup analysis and meta-regression analysis were performed to estimate the factors which may influence the sensitivity and specificity of the NBI. We included 25 studies with total 6187 lesions. The pooled sensitivity, specificity, positive likelihood rate, negative likelihood rate and diagnostic odds ratios of NBI were 88.5%, 95.6%, 12.33, 0.11 and 121.26, respectively. The overall area under the curve of SROC was 96.94%. The location, type of assessment, type of endoscope system and high definition were not significant sources of heterogeneity (P > 0.05). However, magnification may be related to the source of heterogeneity (P = 0.0065). Therefore, NBI may be a promising endoscopic tool in the diagnosis of head and neck cancer.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Figure. 1
Figure. 1
Study flow chart.
Figure 2
Figure 2
Forest plot showing pooled sensitivity of narrow-band imaging for head and neck cancer.
Figure 3
Figure 3
Forest plot showing pooled specificity of narrow-band imaging for head and neck cancer.
Figure 4
Figure 4
Forest plot showing pooled positive likelihood ratio of narrow-band imaging for head and neck cancer.
Figure 5
Figure 5
Forest plot showing pooled negative likelihood ratio of narrow-band imaging for head and neck cancer.
See this image and copyright information in PMC

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