Article ; Online: Efficiency of Electromagnetic Navigation Bronchoscopy and Virtual Bronchoscopic Navigation.
The Annals of thoracic surgery
2020 Volume 109, Issue 6, Page(s) 1731–1740
Abstract: Background: Image-guided bronchoscopy techniques have emerged as a means of improving pulmonary nodule biopsy yield. However comparisons of the diagnostic efficacy of electromagnetic navigation bronchoscopy (ENB) and virtual bronchoscopic navigation ( ... ...
Abstract | Background: Image-guided bronchoscopy techniques have emerged as a means of improving pulmonary nodule biopsy yield. However comparisons of the diagnostic efficacy of electromagnetic navigation bronchoscopy (ENB) and virtual bronchoscopic navigation (VBN) have not reached a consensus. This meta-analysis evaluates the overall diagnostic yield and accuracy of ENB and VBN for pulmonary nodules. Methods: A systematic search was conducted to identify relevant articles. Meta-analysis was used to summarize the sensitivities, specificities, and area under the curve for ENB and VBN. Results: Thirty-two studies (1981 patients with pulmonary nodules) were included in this analysis. The pooled sensitivity, specificity, and area under the curve (95% confidence interval) of ENB were 0.80 (0.73-0.85), 0.81 (0.71-0.88), and 0.87 (0.84-0.90), respectively. Corresponding VBN values were 0.80 (0.76-0.83), 0.65 (0.56-0.73), and 0.81 (0.78-0.85), respectively. Comparison of the 2 techniques revealed that ENB had higher specificity and area under the curve but no difference in sensitivity. Conclusions: Both ENB and VBN are valuable tools in the diagnosis of lung nodules. ENB achieved a higher specificity than VBN in the diagnose of lung nodules, whereas ENB performed better than VBN for pulmonary nodules. These results are due to the real-time positioning function of ENB. |
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MeSH term(s) | Bronchoscopy/methods ; Electromagnetic Phenomena ; Humans ; Multiple Pulmonary Nodules/pathology ; Sensitivity and Specificity ; User-Computer Interface |
Language | English |
Publishing date | 2020-02-26 |
Publishing country | Netherlands |
Document type | Comparative Study ; Journal Article ; Meta-Analysis ; Research Support, Non-U.S. Gov't |
ZDB-ID | 211007-6 |
ISSN | 1552-6259 ; 0003-4975 |
ISSN (online) | 1552-6259 |
ISSN | 0003-4975 |
DOI | 10.1016/j.athoracsur.2020.01.019 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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