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Clinical features of three-dimensional computed tomography-based radiologic phenotypes of chronic obstructive pulmonary disease

PURPOSE: The diagnosis and severity of chronic obstructive pulmonary disease (COPD) are defined by airflow limitation using spirometry. However, COPD has diverse clinical features, and several phenotypes based on non-spirometric data have been investigated. To identify novel phenotypes of COPD using...

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Autores principales: Karayama, Masato, Inui, Naoki, Yasui, Hideki, Kono, Masato, Hozumi, Hironao, Suzuki, Yuzo, Furuhashi, Kazuki, Hashimoto, Dai, Enomoto, Noriyuki, Fujisawa, Tomoyuki, Nakamura, Yutaro, Watanabe, Hiroshi, Suda, Takafumi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598936/
https://www.ncbi.nlm.nih.gov/pubmed/31296985
http://dx.doi.org/10.2147/COPD.S207267
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author Karayama, Masato
Inui, Naoki
Yasui, Hideki
Kono, Masato
Hozumi, Hironao
Suzuki, Yuzo
Furuhashi, Kazuki
Hashimoto, Dai
Enomoto, Noriyuki
Fujisawa, Tomoyuki
Nakamura, Yutaro
Watanabe, Hiroshi
Suda, Takafumi
author_facet Karayama, Masato
Inui, Naoki
Yasui, Hideki
Kono, Masato
Hozumi, Hironao
Suzuki, Yuzo
Furuhashi, Kazuki
Hashimoto, Dai
Enomoto, Noriyuki
Fujisawa, Tomoyuki
Nakamura, Yutaro
Watanabe, Hiroshi
Suda, Takafumi
author_sort Karayama, Masato
collection PubMed
description PURPOSE: The diagnosis and severity of chronic obstructive pulmonary disease (COPD) are defined by airflow limitation using spirometry. However, COPD has diverse clinical features, and several phenotypes based on non-spirometric data have been investigated. To identify novel phenotypes of COPD using radiologic data obtained by three-dimensional computed tomography (3D-CT). PATIENTS AND METHODS: The inner luminal area and wall thickness of third- to sixth-generation bronchi and the percentage of the low-attenuation area (less than −950 HU) of the lungs were measured using 3D-CT in patients with COPD. Using the radiologic data, hierarchical clustering was performed. Respiratory reactance and resistance were measured to evaluate functional differences among the clusters. RESULTS: Four clusters were identified among 167 patients with COPD: Cluster I, mild emphysema with severe airway changes, severe airflow limitation, and high exacerbation risk; Cluster II, mild emphysema with moderate airway changes, mild airflow limitation, and mild dyspnea; Cluster III, severe emphysema with moderate airway changes, severe airflow limitation, and increased dyspnea; and Cluster IV, moderate emphysema with mild airway changes, mild airflow limitation, low exacerbation risk, and mild dyspnea. Cluster I had the highest respiratory resistance among the four clusters. Clusters I and III had higher respiratory reactance than Clusters II and IV. CONCLUSIONS: The 3D-CT-based radiologic phenotypes were associated with the clinical features of COPD. Measurement of respiratory resistance and reactance may help to identify phenotypic differences.
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spelling pubmed-65989362019-07-11 Clinical features of three-dimensional computed tomography-based radiologic phenotypes of chronic obstructive pulmonary disease Karayama, Masato Inui, Naoki Yasui, Hideki Kono, Masato Hozumi, Hironao Suzuki, Yuzo Furuhashi, Kazuki Hashimoto, Dai Enomoto, Noriyuki Fujisawa, Tomoyuki Nakamura, Yutaro Watanabe, Hiroshi Suda, Takafumi Int J Chron Obstruct Pulmon Dis Original Research PURPOSE: The diagnosis and severity of chronic obstructive pulmonary disease (COPD) are defined by airflow limitation using spirometry. However, COPD has diverse clinical features, and several phenotypes based on non-spirometric data have been investigated. To identify novel phenotypes of COPD using radiologic data obtained by three-dimensional computed tomography (3D-CT). PATIENTS AND METHODS: The inner luminal area and wall thickness of third- to sixth-generation bronchi and the percentage of the low-attenuation area (less than −950 HU) of the lungs were measured using 3D-CT in patients with COPD. Using the radiologic data, hierarchical clustering was performed. Respiratory reactance and resistance were measured to evaluate functional differences among the clusters. RESULTS: Four clusters were identified among 167 patients with COPD: Cluster I, mild emphysema with severe airway changes, severe airflow limitation, and high exacerbation risk; Cluster II, mild emphysema with moderate airway changes, mild airflow limitation, and mild dyspnea; Cluster III, severe emphysema with moderate airway changes, severe airflow limitation, and increased dyspnea; and Cluster IV, moderate emphysema with mild airway changes, mild airflow limitation, low exacerbation risk, and mild dyspnea. Cluster I had the highest respiratory resistance among the four clusters. Clusters I and III had higher respiratory reactance than Clusters II and IV. CONCLUSIONS: The 3D-CT-based radiologic phenotypes were associated with the clinical features of COPD. Measurement of respiratory resistance and reactance may help to identify phenotypic differences. Dove 2019-06-24 /pmc/articles/PMC6598936/ /pubmed/31296985 http://dx.doi.org/10.2147/COPD.S207267 Text en © 2019 Karayama et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Karayama, Masato
Inui, Naoki
Yasui, Hideki
Kono, Masato
Hozumi, Hironao
Suzuki, Yuzo
Furuhashi, Kazuki
Hashimoto, Dai
Enomoto, Noriyuki
Fujisawa, Tomoyuki
Nakamura, Yutaro
Watanabe, Hiroshi
Suda, Takafumi
Clinical features of three-dimensional computed tomography-based radiologic phenotypes of chronic obstructive pulmonary disease
title Clinical features of three-dimensional computed tomography-based radiologic phenotypes of chronic obstructive pulmonary disease
title_full Clinical features of three-dimensional computed tomography-based radiologic phenotypes of chronic obstructive pulmonary disease
title_fullStr Clinical features of three-dimensional computed tomography-based radiologic phenotypes of chronic obstructive pulmonary disease
title_full_unstemmed Clinical features of three-dimensional computed tomography-based radiologic phenotypes of chronic obstructive pulmonary disease
title_short Clinical features of three-dimensional computed tomography-based radiologic phenotypes of chronic obstructive pulmonary disease
title_sort clinical features of three-dimensional computed tomography-based radiologic phenotypes of chronic obstructive pulmonary disease
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598936/
https://www.ncbi.nlm.nih.gov/pubmed/31296985
http://dx.doi.org/10.2147/COPD.S207267
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