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Comparison of autofluorescence and white-light bronchoscopies performed with the Evis Lucera Spectrum for the detection of bronchial cancers: a meta-analysis
BACKGROUND: Many recent studies have reported that autofluorescence bronchoscopy (AFB) has a superior sensitivity and decreased specificity in the diagnosis of bronchial cancers when compared with white-light bronchoscopy (WLB). We specifically analyzed the diagnostic performances of autofluorescenc...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082289/ https://www.ncbi.nlm.nih.gov/pubmed/32206550 http://dx.doi.org/10.21037/tlcr.2020.01.04 |
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author | Sun, Shuangshuang Yang, Yang Chen, Meizi Wang, Li Pan, Hangcheng Zhang, Xiuwei Wagnieres, Georges Mohammad, Yousser Barreiro, Esther Pirozzolo, Giovanni Villeneuve, P. James Zhan, Ping Wan, Bing |
author_facet | Sun, Shuangshuang Yang, Yang Chen, Meizi Wang, Li Pan, Hangcheng Zhang, Xiuwei Wagnieres, Georges Mohammad, Yousser Barreiro, Esther Pirozzolo, Giovanni Villeneuve, P. James Zhan, Ping Wan, Bing |
author_sort | Sun, Shuangshuang |
collection | PubMed |
description | BACKGROUND: Many recent studies have reported that autofluorescence bronchoscopy (AFB) has a superior sensitivity and decreased specificity in the diagnosis of bronchial cancers when compared with white-light bronchoscopy (WLB). We specifically analyzed the diagnostic performances of autofluorescence imaging video bronchoscopy (AFI) performed with the Evis Lucera Spectrum from Olympus, which is a relatively novel approach in detecting and delineating bronchial cancers, and compared it to the older WLB method. METHODS: We searched the PubMed, Embase, Web of Science, and CNKI databases from inception to July 12(th), 2018 for trials in which patients were diagnosed with lung cancer via concurrent or combined use of AFI and WLB. The included studies were required to have a histologic diagnosis as the gold standard comparison, and a sufficient amount of data was extracted to assess the diagnostic capacity. A 2×2 table was constructed, and the area under the receiver-operating characteristic curve (AUC) of AFI and WLB was estimated by using a stochastic model for diagnostic meta-analysis using STATA software. RESULTS: A total of 10 articles were eligible for the meta analysis, comprising 1,830 patients with complete data included in the analysis. AFI showed a superior sensitivity of 0.92 (95% CI, 0.88–0.95) over WLB’s 0.70 (95% CI, 0.58–0.80) with P<0.01, and a comparable specificity of 0.67 (95% CI, 0.51–0.80) compared with WLB’s 0.78 (95% CI, 0.68–0.86) with P=0.056. Egger’s test P value (0.225) demonstrated that there was no publication bias. CONCLUSIONS: Our research showed that in the evaluation of bronchial cancers, AFI was superior to conventional WLB. With its higher sensitivity, AFI could be valuable for avoiding misdiagnosis. |
format | Online Article Text |
id | pubmed-7082289 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-70822892020-03-23 Comparison of autofluorescence and white-light bronchoscopies performed with the Evis Lucera Spectrum for the detection of bronchial cancers: a meta-analysis Sun, Shuangshuang Yang, Yang Chen, Meizi Wang, Li Pan, Hangcheng Zhang, Xiuwei Wagnieres, Georges Mohammad, Yousser Barreiro, Esther Pirozzolo, Giovanni Villeneuve, P. James Zhan, Ping Wan, Bing Transl Lung Cancer Res Original Article BACKGROUND: Many recent studies have reported that autofluorescence bronchoscopy (AFB) has a superior sensitivity and decreased specificity in the diagnosis of bronchial cancers when compared with white-light bronchoscopy (WLB). We specifically analyzed the diagnostic performances of autofluorescence imaging video bronchoscopy (AFI) performed with the Evis Lucera Spectrum from Olympus, which is a relatively novel approach in detecting and delineating bronchial cancers, and compared it to the older WLB method. METHODS: We searched the PubMed, Embase, Web of Science, and CNKI databases from inception to July 12(th), 2018 for trials in which patients were diagnosed with lung cancer via concurrent or combined use of AFI and WLB. The included studies were required to have a histologic diagnosis as the gold standard comparison, and a sufficient amount of data was extracted to assess the diagnostic capacity. A 2×2 table was constructed, and the area under the receiver-operating characteristic curve (AUC) of AFI and WLB was estimated by using a stochastic model for diagnostic meta-analysis using STATA software. RESULTS: A total of 10 articles were eligible for the meta analysis, comprising 1,830 patients with complete data included in the analysis. AFI showed a superior sensitivity of 0.92 (95% CI, 0.88–0.95) over WLB’s 0.70 (95% CI, 0.58–0.80) with P<0.01, and a comparable specificity of 0.67 (95% CI, 0.51–0.80) compared with WLB’s 0.78 (95% CI, 0.68–0.86) with P=0.056. Egger’s test P value (0.225) demonstrated that there was no publication bias. CONCLUSIONS: Our research showed that in the evaluation of bronchial cancers, AFI was superior to conventional WLB. With its higher sensitivity, AFI could be valuable for avoiding misdiagnosis. AME Publishing Company 2020-02 /pmc/articles/PMC7082289/ /pubmed/32206550 http://dx.doi.org/10.21037/tlcr.2020.01.04 Text en 2020 Translational Lung Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Sun, Shuangshuang Yang, Yang Chen, Meizi Wang, Li Pan, Hangcheng Zhang, Xiuwei Wagnieres, Georges Mohammad, Yousser Barreiro, Esther Pirozzolo, Giovanni Villeneuve, P. James Zhan, Ping Wan, Bing Comparison of autofluorescence and white-light bronchoscopies performed with the Evis Lucera Spectrum for the detection of bronchial cancers: a meta-analysis |
title | Comparison of autofluorescence and white-light bronchoscopies performed with the Evis Lucera Spectrum for the detection of bronchial cancers: a meta-analysis |
title_full | Comparison of autofluorescence and white-light bronchoscopies performed with the Evis Lucera Spectrum for the detection of bronchial cancers: a meta-analysis |
title_fullStr | Comparison of autofluorescence and white-light bronchoscopies performed with the Evis Lucera Spectrum for the detection of bronchial cancers: a meta-analysis |
title_full_unstemmed | Comparison of autofluorescence and white-light bronchoscopies performed with the Evis Lucera Spectrum for the detection of bronchial cancers: a meta-analysis |
title_short | Comparison of autofluorescence and white-light bronchoscopies performed with the Evis Lucera Spectrum for the detection of bronchial cancers: a meta-analysis |
title_sort | comparison of autofluorescence and white-light bronchoscopies performed with the evis lucera spectrum for the detection of bronchial cancers: a meta-analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082289/ https://www.ncbi.nlm.nih.gov/pubmed/32206550 http://dx.doi.org/10.21037/tlcr.2020.01.04 |
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