Internal Medicine
Online ISSN : 1349-7235
Print ISSN : 0918-2918
ISSN-L : 0918-2918
ORIGINAL ARTICLES
Virtual Bronchoscopic Navigation Improves the Diagnostic Yield of Radial-Endobronchial Ultrasound for Peripheral Pulmonary Lesions with Involved Bronchi on CT
Fumihiro AsanoNaofumi ShinagawaTakashi IshidaAkifumi TsuzukuMotoko TachiharaKenya KanazawaNoriyuki YamadaSatoshi OizumiHiroshi Moriya
Author information
JOURNAL OPEN ACCESS

2015 Volume 54 Issue 9 Pages 1021-1025

Details
Abstract

Objective Bronchoscopy using radial-endobronchial ultrasound (R-EBUS) and virtual bronchoscopic navigation (VBN) is a promising method for diagnosing peripheral pulmonary lesions. We previously performed a randomized comparative trial (RCT) (i.e., VBN combined with EBUS RCT) involving patients with 30-mm or smaller peripheral pulmonary lesions and found that the addition of VBN to R-EBUS improved the diagnostic yield. In the present study, we performed a retrospective subanalysis in order to identify patients for whom VBN is useful.
Methods The per-protocol population (194 cases) of the VBN combined with EBUS RCT was divided into subgroups based on the lesion size, lung lobe containing the lesion, lesion location, presence or absence of involved bronchi (bronchus sign) on thin-section CT and whether the lesion was detected on posterior-anterior (P-A) radiographs. The difference in the diagnostic yield between the VBN-assisted (VBNA) and non-VBN-assisted (NVBNA) groups was investigated.
Results Within the bronchus sign-positive subgroup, the diagnostic yield in the VBNA and NVBNA groups was 94.4% (68/72) and 77.8% (56/72), respectively, showing a significantly higher yield in the VBNA group (p=0.004; odds ratio: 4.9). The yield was particularly high for lesions smaller than 20 mm (94.6% vs. 70.7%; p=0.006), lesions located in the peripheral third of the lung field (95.1% vs. 71.4%; p=0.005) and lesions invisible on P-A radiographs (90.0% vs. 41.7%; p=0.026).
Conclusion VBN improves the diagnostic yield when combined with R-EBUS to assess lesions exhibiting involved bronchi on CT images.

Content from these authors
© 2015 by The Japanese Society of Internal Medicine
Previous article Next article
feedback
Top