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Differentiation of quantitative CT imaging phenotypes in asthma versus COPD

INTRODUCTION: Quantitative CT (QCT) imaging-based metrics have quantified disease alterations in asthma and chronic obstructive pulmonary disease (COPD), respectively. We seek to characterise the similarity and disparity between these groups using QCT-derived airway and parenchymal metrics. METHODS:...

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Autores principales: Choi, Sanghun, Haghighi, Babak, Choi, Jiwoong, Hoffman, Eric A, Comellas, Alejandro P, Newell, John D, Wenzel, Sally E, Castro, Mario, Fain, Sean B, Jarjour, Nizar N, Schiebler, Mark L, Barr, R Graham, Han, MeiLan K, Bleecker, Eugene R, Cooper, Christopher B, Couper, David, Hansel, Nadia, Kanner, Richard E, Kazeroni, Ella A, Kleerup, Eric A C, Martinez, Fernando J, O’Neal, Wanda K, Woodruff, Prescott G, Lin, Ching-Long
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5687530/
https://www.ncbi.nlm.nih.gov/pubmed/29435345
http://dx.doi.org/10.1136/bmjresp-2017-000252
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author Choi, Sanghun
Haghighi, Babak
Choi, Jiwoong
Hoffman, Eric A
Comellas, Alejandro P
Newell, John D
Wenzel, Sally E
Castro, Mario
Fain, Sean B
Jarjour, Nizar N
Schiebler, Mark L
Barr, R Graham
Han, MeiLan K
Bleecker, Eugene R
Cooper, Christopher B
Couper, David
Hansel, Nadia
Kanner, Richard E
Kazeroni, Ella A
Kleerup, Eric A C
Martinez, Fernando J
O’Neal, Wanda K
Woodruff, Prescott G
Lin, Ching-Long
author_facet Choi, Sanghun
Haghighi, Babak
Choi, Jiwoong
Hoffman, Eric A
Comellas, Alejandro P
Newell, John D
Wenzel, Sally E
Castro, Mario
Fain, Sean B
Jarjour, Nizar N
Schiebler, Mark L
Barr, R Graham
Han, MeiLan K
Bleecker, Eugene R
Cooper, Christopher B
Couper, David
Hansel, Nadia
Kanner, Richard E
Kazeroni, Ella A
Kleerup, Eric A C
Martinez, Fernando J
O’Neal, Wanda K
Woodruff, Prescott G
Lin, Ching-Long
author_sort Choi, Sanghun
collection PubMed
description INTRODUCTION: Quantitative CT (QCT) imaging-based metrics have quantified disease alterations in asthma and chronic obstructive pulmonary disease (COPD), respectively. We seek to characterise the similarity and disparity between these groups using QCT-derived airway and parenchymal metrics. METHODS: Asthma and COPD subjects (former-smoker status) were selected with a criterion of post-bronchodilator FEV(1) <80%. Healthy non-smokers were included as a control group. Inspiratory and expiratory QCT images of 75 asthmatic, 215 COPD and 94 healthy subjects were evaluated. We compared three segmental variables: airway circularity, normalised wall thickness and normalised hydraulic diameter, indicating heterogeneous airway shape, wall thickening and luminal narrowing, respectively. Using an image registration, we also computed six lobar variables including per cent functional small-airway disease, per cent emphysema, tissue fraction at inspiration, fractional-air-volume change, Jacobian and functional metric characterising anisotropic deformation. RESULTS: Compared with healthy subjects, both asthma and COPD subjects demonstrated a decreased airway circularity especially in large and upper lobar airways, and a decreased normalised hydraulic diameter in segmental airways. Besides, COPD subjects had more severe emphysema and small-airway disease, as well as smaller regional tissue fraction and lung deformation, compared with asthmatic subjects. The difference of emphysema, small-airway disease and tissue fraction between asthma and COPD was more prominent in upper and middle lobes. CONCLUSIONS: Patients with asthma and COPD, with a persistent FEV(1) <80%, demonstrated similar alterations in airway geometry compared with controls, but different degrees of alterations in parenchymal regions. Density-based metrics measured at upper and middle lobes were found to be discriminant variables between patients with asthma and COPD.
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spelling pubmed-56875302018-02-12 Differentiation of quantitative CT imaging phenotypes in asthma versus COPD Choi, Sanghun Haghighi, Babak Choi, Jiwoong Hoffman, Eric A Comellas, Alejandro P Newell, John D Wenzel, Sally E Castro, Mario Fain, Sean B Jarjour, Nizar N Schiebler, Mark L Barr, R Graham Han, MeiLan K Bleecker, Eugene R Cooper, Christopher B Couper, David Hansel, Nadia Kanner, Richard E Kazeroni, Ella A Kleerup, Eric A C Martinez, Fernando J O’Neal, Wanda K Woodruff, Prescott G Lin, Ching-Long BMJ Open Respir Res Asthma INTRODUCTION: Quantitative CT (QCT) imaging-based metrics have quantified disease alterations in asthma and chronic obstructive pulmonary disease (COPD), respectively. We seek to characterise the similarity and disparity between these groups using QCT-derived airway and parenchymal metrics. METHODS: Asthma and COPD subjects (former-smoker status) were selected with a criterion of post-bronchodilator FEV(1) <80%. Healthy non-smokers were included as a control group. Inspiratory and expiratory QCT images of 75 asthmatic, 215 COPD and 94 healthy subjects were evaluated. We compared three segmental variables: airway circularity, normalised wall thickness and normalised hydraulic diameter, indicating heterogeneous airway shape, wall thickening and luminal narrowing, respectively. Using an image registration, we also computed six lobar variables including per cent functional small-airway disease, per cent emphysema, tissue fraction at inspiration, fractional-air-volume change, Jacobian and functional metric characterising anisotropic deformation. RESULTS: Compared with healthy subjects, both asthma and COPD subjects demonstrated a decreased airway circularity especially in large and upper lobar airways, and a decreased normalised hydraulic diameter in segmental airways. Besides, COPD subjects had more severe emphysema and small-airway disease, as well as smaller regional tissue fraction and lung deformation, compared with asthmatic subjects. The difference of emphysema, small-airway disease and tissue fraction between asthma and COPD was more prominent in upper and middle lobes. CONCLUSIONS: Patients with asthma and COPD, with a persistent FEV(1) <80%, demonstrated similar alterations in airway geometry compared with controls, but different degrees of alterations in parenchymal regions. Density-based metrics measured at upper and middle lobes were found to be discriminant variables between patients with asthma and COPD. BMJ Publishing Group 2017-11-09 /pmc/articles/PMC5687530/ /pubmed/29435345 http://dx.doi.org/10.1136/bmjresp-2017-000252 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/
spellingShingle Asthma
Choi, Sanghun
Haghighi, Babak
Choi, Jiwoong
Hoffman, Eric A
Comellas, Alejandro P
Newell, John D
Wenzel, Sally E
Castro, Mario
Fain, Sean B
Jarjour, Nizar N
Schiebler, Mark L
Barr, R Graham
Han, MeiLan K
Bleecker, Eugene R
Cooper, Christopher B
Couper, David
Hansel, Nadia
Kanner, Richard E
Kazeroni, Ella A
Kleerup, Eric A C
Martinez, Fernando J
O’Neal, Wanda K
Woodruff, Prescott G
Lin, Ching-Long
Differentiation of quantitative CT imaging phenotypes in asthma versus COPD
title Differentiation of quantitative CT imaging phenotypes in asthma versus COPD
title_full Differentiation of quantitative CT imaging phenotypes in asthma versus COPD
title_fullStr Differentiation of quantitative CT imaging phenotypes in asthma versus COPD
title_full_unstemmed Differentiation of quantitative CT imaging phenotypes in asthma versus COPD
title_short Differentiation of quantitative CT imaging phenotypes in asthma versus COPD
title_sort differentiation of quantitative ct imaging phenotypes in asthma versus copd
topic Asthma
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5687530/
https://www.ncbi.nlm.nih.gov/pubmed/29435345
http://dx.doi.org/10.1136/bmjresp-2017-000252
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