Cargando…
Computed Tomography Bronchus Sign Subclassification during Radial Endobronchial Ultrasound-Guided Transbronchial Biopsy: A Retrospective Analysis
The presence of computed tomography bronchus sign (CT-BS) substantially increases the diagnostic yield of peripheral pulmonary lesions. However, the clinical significance of subdividing CT-BS remains controversial. We classified bronchus types on CT into six subtypes (CT-BS group I: types Ia–Ic with...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047045/ https://www.ncbi.nlm.nih.gov/pubmed/36980372 http://dx.doi.org/10.3390/diagnostics13061064 |
_version_ | 1785013823539773440 |
---|---|
author | Imabayashi, Tatsuya Matsumoto, Yuji Uchimura, Keigo Furuse, Hideaki Tsuchida, Takaaki |
author_facet | Imabayashi, Tatsuya Matsumoto, Yuji Uchimura, Keigo Furuse, Hideaki Tsuchida, Takaaki |
author_sort | Imabayashi, Tatsuya |
collection | PubMed |
description | The presence of computed tomography bronchus sign (CT-BS) substantially increases the diagnostic yield of peripheral pulmonary lesions. However, the clinical significance of subdividing CT-BS remains controversial. We classified bronchus types on CT into six subtypes (CT-BS group I: types Ia–Ic with the bronchus connected within the lesion, group II: types IIa–IIc without connection) to clarify the differences in their characteristics and investigate the factors associated with diagnosis during radial endobronchial ultrasound (rEBUS)-guided bronchoscopy. In total, 1021 cases were analyzed. Our findings in diagnostic yields were that in CT-BS group I, penetrating type Ic was inferior to obstructed type Ia and narrowing type Ib (59.0% vs. 80.0% and 76.3%, p < 0.001, p = 0.004); in CT-BS group II, compressed type IIa showed no difference when compared with invisible type IIb and uninvolved type IIc (IIa: 52.8% vs. IIb: 46.3% and IIc: 35.7%, p = 0.253). Multivariable analysis revealed that bronchus type (types Ia and Ib vs. Ic) was a significant independent predictor of successful diagnosis in CT-BS group I (odds ratio, 1.78; 95% confidence interval, 1.04–3.05; p = 0.035), along with known factors such as rEBUS visualization. CT-BS subclassification may provide useful information regarding the bronchoscopic technique to facilitate accurate diagnosis. |
format | Online Article Text |
id | pubmed-10047045 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100470452023-03-29 Computed Tomography Bronchus Sign Subclassification during Radial Endobronchial Ultrasound-Guided Transbronchial Biopsy: A Retrospective Analysis Imabayashi, Tatsuya Matsumoto, Yuji Uchimura, Keigo Furuse, Hideaki Tsuchida, Takaaki Diagnostics (Basel) Article The presence of computed tomography bronchus sign (CT-BS) substantially increases the diagnostic yield of peripheral pulmonary lesions. However, the clinical significance of subdividing CT-BS remains controversial. We classified bronchus types on CT into six subtypes (CT-BS group I: types Ia–Ic with the bronchus connected within the lesion, group II: types IIa–IIc without connection) to clarify the differences in their characteristics and investigate the factors associated with diagnosis during radial endobronchial ultrasound (rEBUS)-guided bronchoscopy. In total, 1021 cases were analyzed. Our findings in diagnostic yields were that in CT-BS group I, penetrating type Ic was inferior to obstructed type Ia and narrowing type Ib (59.0% vs. 80.0% and 76.3%, p < 0.001, p = 0.004); in CT-BS group II, compressed type IIa showed no difference when compared with invisible type IIb and uninvolved type IIc (IIa: 52.8% vs. IIb: 46.3% and IIc: 35.7%, p = 0.253). Multivariable analysis revealed that bronchus type (types Ia and Ib vs. Ic) was a significant independent predictor of successful diagnosis in CT-BS group I (odds ratio, 1.78; 95% confidence interval, 1.04–3.05; p = 0.035), along with known factors such as rEBUS visualization. CT-BS subclassification may provide useful information regarding the bronchoscopic technique to facilitate accurate diagnosis. MDPI 2023-03-10 /pmc/articles/PMC10047045/ /pubmed/36980372 http://dx.doi.org/10.3390/diagnostics13061064 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Imabayashi, Tatsuya Matsumoto, Yuji Uchimura, Keigo Furuse, Hideaki Tsuchida, Takaaki Computed Tomography Bronchus Sign Subclassification during Radial Endobronchial Ultrasound-Guided Transbronchial Biopsy: A Retrospective Analysis |
title | Computed Tomography Bronchus Sign Subclassification during Radial Endobronchial Ultrasound-Guided Transbronchial Biopsy: A Retrospective Analysis |
title_full | Computed Tomography Bronchus Sign Subclassification during Radial Endobronchial Ultrasound-Guided Transbronchial Biopsy: A Retrospective Analysis |
title_fullStr | Computed Tomography Bronchus Sign Subclassification during Radial Endobronchial Ultrasound-Guided Transbronchial Biopsy: A Retrospective Analysis |
title_full_unstemmed | Computed Tomography Bronchus Sign Subclassification during Radial Endobronchial Ultrasound-Guided Transbronchial Biopsy: A Retrospective Analysis |
title_short | Computed Tomography Bronchus Sign Subclassification during Radial Endobronchial Ultrasound-Guided Transbronchial Biopsy: A Retrospective Analysis |
title_sort | computed tomography bronchus sign subclassification during radial endobronchial ultrasound-guided transbronchial biopsy: a retrospective analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047045/ https://www.ncbi.nlm.nih.gov/pubmed/36980372 http://dx.doi.org/10.3390/diagnostics13061064 |
work_keys_str_mv | AT imabayashitatsuya computedtomographybronchussignsubclassificationduringradialendobronchialultrasoundguidedtransbronchialbiopsyaretrospectiveanalysis AT matsumotoyuji computedtomographybronchussignsubclassificationduringradialendobronchialultrasoundguidedtransbronchialbiopsyaretrospectiveanalysis AT uchimurakeigo computedtomographybronchussignsubclassificationduringradialendobronchialultrasoundguidedtransbronchialbiopsyaretrospectiveanalysis AT furusehideaki computedtomographybronchussignsubclassificationduringradialendobronchialultrasoundguidedtransbronchialbiopsyaretrospectiveanalysis AT tsuchidatakaaki computedtomographybronchussignsubclassificationduringradialendobronchialultrasoundguidedtransbronchialbiopsyaretrospectiveanalysis |