Literature DB >> 33992600

Reproducibility of peripheral branches in virtual bronchoscopic navigation using VINCENT and LungPoint software for peripheral lung lesions.

Atsushi Kitamura1, Kohei Okafuji2, Ryosuke Imai2, Manabu Murakami2, Shosei Ro2, Yutaka Tomishima2, Torahiko Jinta2, Naoki Nishimura2, Tomohide Tamura2.   

Abstract

BACKGROUND: Recently, virtual bronchoscopic navigation (VBN) has become frequently used for the pathological specimen collection of peripheral lung lesions using various VBN software packages. Herein, we examined the reproducibility of peripheral branches in VBN software using LungPoint and VINCENT versions 4.0 and 5.5.
METHODS: This study included patients suspected of malignant peripheral lung lesions who underwent bronchoscopy at our hospital from February 2016 to April 2017. Computed tomography was taken at a thickness of 1.25 mm in all cases, and VB images were created based on the computed tomography data using LungPoint, or VINCENT version 4.0 or 5.5. One observer read the program-generated VB images and compared how many branches could be visualized with the lobe bronchus as the primary branch.
RESULTS: A total of 129 patients (n = 131 lesions) underwent bronchoscopy, with 82 cases of primary lung cancer. Pathological bronchoscopic diagnosis was done in 63 cases, resulting to a diagnostic rate of 76.8%. VB images generated by LungPoint, and VINCENT versions 4.0 and 5.5 reproduced an average of 4.3, 3.47, and 5.12 branches, respectively, with significant differences (p < 0.05) between them.
CONCLUSIONS: VINCENT version 5.5 exhibits better reproducibility of peripheral branches than LungPoint for VBN.
Copyright © 2021 The Japanese Respiratory Society. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bronchoscopy; Lung cancer; Peripheral branches; Peripheral lung lesions; Virtual bronchoscopic navigation

Year:  2021        PMID: 33992600     DOI: 10.1016/j.resinv.2021.04.006

Source DB:  PubMed          Journal:  Respir Investig        ISSN: 2212-5345


  2 in total

1.  Findings of virtual bronchoscopic navigation can predict the diagnostic rate of primary lung cancer by bronchoscopy in patients with peripheral lung lesions.

Authors:  Atsushi Kitamura; Yutaka Tomishima; Ryosuke Imai; Naoki Nishimura; Kohei Okafuji; Shosei Ro; Torahiko Jinta; Tomohide Tamura
Journal:  BMC Pulm Med       Date:  2022-07-14       Impact factor: 3.320

2.  The superiority of manual over automated methods in identifying bronchial trees on identical CT images.

Authors:  So Takata; Kotaro Miyake; Atsushi Kumanogoh
Journal:  Sci Rep       Date:  2022-03-30       Impact factor: 4.379

  2 in total

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