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Quantitative computed tomography imaging in chronic obstructive pulmonary disease

Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease having small airway inflammation, emphysema, and pulmonary hypertension. It is now clear that spirometry alone cannot differentiate each component. Quantitative computed tomography (QCT) is increasingly used to quantify the amou...

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Autores principales: Fernandes, Lalita, Fernandes, Yasmin, Mesquita, Anthony Menezes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112822/
https://www.ncbi.nlm.nih.gov/pubmed/27890994
http://dx.doi.org/10.4103/0970-2113.192880
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author Fernandes, Lalita
Fernandes, Yasmin
Mesquita, Anthony Menezes
author_facet Fernandes, Lalita
Fernandes, Yasmin
Mesquita, Anthony Menezes
author_sort Fernandes, Lalita
collection PubMed
description Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease having small airway inflammation, emphysema, and pulmonary hypertension. It is now clear that spirometry alone cannot differentiate each component. Quantitative computed tomography (QCT) is increasingly used to quantify the amount of emphysema and small airway involvement in COPD. Inspiratory CT guides in assessing emphysema while expiratory CT identifies areas of air trapping which is a surrogate of small airway inflammation. By constructing a three-dimensional model of airways, we can also measure the airway wall thickness of segmental and subsegmental airways. The aim of this review is to present the current knowledge and methodologies in QCT of the lung that aid in identifying discrete COPD phenotypes.
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spelling pubmed-51128222016-11-25 Quantitative computed tomography imaging in chronic obstructive pulmonary disease Fernandes, Lalita Fernandes, Yasmin Mesquita, Anthony Menezes Lung India Review Article Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease having small airway inflammation, emphysema, and pulmonary hypertension. It is now clear that spirometry alone cannot differentiate each component. Quantitative computed tomography (QCT) is increasingly used to quantify the amount of emphysema and small airway involvement in COPD. Inspiratory CT guides in assessing emphysema while expiratory CT identifies areas of air trapping which is a surrogate of small airway inflammation. By constructing a three-dimensional model of airways, we can also measure the airway wall thickness of segmental and subsegmental airways. The aim of this review is to present the current knowledge and methodologies in QCT of the lung that aid in identifying discrete COPD phenotypes. Medknow Publications & Media Pvt Ltd 2016 /pmc/articles/PMC5112822/ /pubmed/27890994 http://dx.doi.org/10.4103/0970-2113.192880 Text en Copyright: © 2016 Indian Chest Society http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Review Article
Fernandes, Lalita
Fernandes, Yasmin
Mesquita, Anthony Menezes
Quantitative computed tomography imaging in chronic obstructive pulmonary disease
title Quantitative computed tomography imaging in chronic obstructive pulmonary disease
title_full Quantitative computed tomography imaging in chronic obstructive pulmonary disease
title_fullStr Quantitative computed tomography imaging in chronic obstructive pulmonary disease
title_full_unstemmed Quantitative computed tomography imaging in chronic obstructive pulmonary disease
title_short Quantitative computed tomography imaging in chronic obstructive pulmonary disease
title_sort quantitative computed tomography imaging in chronic obstructive pulmonary disease
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112822/
https://www.ncbi.nlm.nih.gov/pubmed/27890994
http://dx.doi.org/10.4103/0970-2113.192880
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