Literature DB >> 26085510

Narrow-band imaging bronchoscopy in the detection of premalignant airway lesions: a meta-analysis of diagnostic test accuracy.

Imran H Iftikhar1, Ali I Musani2.   

Abstract

OBJECTIVES: Both autofluorescence imaging bronchoscopy and narrow-band imaging have shown promise in the detection of premalignant airway lesions, each by utilizing different bandwidths of lights for better characterization of the mucosal and submucosal vascular grid. Since previously published meta-analyses have shown poor specificity of autofluorescence imaging bronchoscopy, we specifically studied the diagnostic accuracy of narrow-band imaging alone and in combination with autofluorescence imaging bronchoscopy in the detection of premalignant airway lesions.
METHODS: After an extensive search of eligible studies from PubMed and Medline, extracted data were pooled with weighted averages. Symmetrical summary-receiver operating characteristic curves were constructed to summarize the results quantitatively. Study heterogeneity was assessed by the I(2) index.
RESULTS: Analysis of data from eight studies on narrow-band imaging showed a pooled sensitivity of 0.80 [95% confidence interval (CI): 0.77-0.83] and a pooled specificity of 0.84 (95% CI: 0.81-0.86). Summary-receiver operating characteristic curves from the data on narrow-band imaging calculated an area-under-the-curve of 0.908 (standard error 0.01). The diagnostic odds ratio of narrow-band imaging was 31.49 (95% CI: 12.17-81.45). Data from studies where narrow-band imaging and autofluorescence imaging bronchoscopy were used together showed a pooled sensitivity, specificity, area-under-the-curve and diagnostic odds ratios of 0.86 (95% CI: 0.82-0.89), 0.75 (95% CI: 0.71-0.79), 0.964 (standard error 0.05) and 27.96 (95% CI: 3.04-257.21), respectively.
CONCLUSIONS: Our findings indicate that in the evaluation of premalignant airway lesions, narrow-band imaging has a higher sensitivity, specificity and diagnostic odds ratios compared with autofluorescence imaging bronchoscopy. However, combining autofluorescence imaging bronchoscopy and narrow-band imaging does not significantly improve test performance characteristics.
© The Author(s), 2015.

Keywords:  autofluorescence imaging bronchoscopy; meta-analysis; narrow-band imaging bronchoscopy

Mesh:

Year:  2015        PMID: 26085510     DOI: 10.1177/1753465815589698

Source DB:  PubMed          Journal:  Ther Adv Respir Dis        ISSN: 1753-4658            Impact factor:   4.031


  10 in total

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2.  White light, autofluorescence and narrow-band imaging bronchoscopy for diagnosing airway pre-cancerous and early cancer lesions: a systematic review and meta-analysis.

Authors:  Jianrong Zhang; Jieyu Wu; Yujing Yang; Hua Liao; Zhiheng Xu; Lindsey Tristine Hamblin; Long Jiang; Lieven Depypere; Keng Leong Ang; Jiaxi He; Ziyan Liang; Jun Huang; Jingpei Li; Qihua He; Wenhua Liang; Jianxing He
Journal:  J Thorac Dis       Date:  2016-11       Impact factor: 2.895

Review 3.  The role of bronchoscopy in the diagnosis of early lung cancer: a review.

Authors:  Marco Andolfi; Rossella Potenza; Rosanna Capozzi; Valeria Liparulo; Francesco Puma; Kazuhiro Yasufuku
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4.  Development of a novel image-based program to teach narrow-band imaging.

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Review 5.  The technique of endoscopic airway tumor treatment.

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8.  Case Reports: Bronchial Mucosal Vasculature Is Also Involved in the Acute Vascular Distress Syndrome of COVID-19.

Authors:  Vincent Jounieaux; Damien Basille; Bénédicte Toublanc; Claire Andrejak; Daniel Oscar Rodenstein; Yazine Mahjoub
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9.  The value of narrow-band imaging bronchoscopy in diagnosing central lung cancer.

Authors:  Juanjuan Zhu; Rui Liu; Xiancheng Wu; Qin Li; Beilei Gong; Yuanbing Shen; Yurong Ou; Wei Li
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10.  Analysis of risk factors for stage I lung adenocarcinoma using low-dose high-resolution computed tomography.

Authors:  Rui Fang; Yong Yang; Haicheng Han; Xiaoqing Fu; Liwen Dong; Baisheng Xie; Wei Lu; Chenyang Ma; Feng Cui; Jian Hu; Jun Wang
Journal:  Oncol Lett       Date:  2018-06-06       Impact factor: 2.967

  10 in total

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