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Findings of virtual bronchoscopic navigation can predict the diagnostic rate of primary lung cancer by bronchoscopy in patients with peripheral lung lesions
- Source :
- BMC Pulmonary Medicine, Vol 22, Iss 1, Pp 1-7 (2022)
- Publication Year :
- 2022
- Publisher :
- BMC, 2022.
-
Abstract
- Abstract Background Despite being minimally invasive, bronchoscopy does not always result in pathological specimens being obtained. Therefore, we investigated whether virtual bronchoscopic navigation (VBN) findings were associated with the rate of diagnosis of primary lung cancer by bronchoscopy in patients with peripheral lung lesions. Methods This study included patients with suspected malignant peripheral lung lesions who underwent bronchoscopy at St. Luke’s International Hospital between October 2013 and March 2020. Patients diagnosed with primary lung cancer were grouped according to whether their pathology could be diagnosed by bronchoscopy, and their clinical factors were compared. In addition, the distance between the edge of the lesion and the nearest branch (“distance by VBN”) was calculated. The distance by VBN and various clinical factors were compared with the diagnostic rates of primary lung cancer. Results The study included 523 patients with 578 lesions. After excluding 55 patients who underwent multiple bronchoscopies, 381 patients were diagnosed with primary lung cancer. The diagnostic rate by bronchoscopy was 71.1% (271/381). Multivariate analysis revealed that the lesion diameter (odds ratio [OR] 1.107), distance by VBN (OR 0.94) and lesion structure (solid lesion or ground-glass nodule; OR 2.988) influenced the risk of a lung cancer diagnosis. The area under the receiver operating characteristic curve for diagnosis based on lesion diameter and distance by VBN was 0.810. Conclusion The distance by VBN and lesion diameter were predictive of the diagnostic rates of primary lung cancer by bronchoscopy in patients with peripheral lung lesions.
Details
- Language :
- English
- ISSN :
- 14712466
- Volume :
- 22
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- BMC Pulmonary Medicine
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.fd9c006414d3c98896263bad14b79
- Document Type :
- article
- Full Text :
- https://doi.org/10.1186/s12890-022-02071-2