Computed tomography-identified phenotypes of small airway obstructions in chronic obstructive pulmonary disease. Issue 17 (5th September 2021)

• Record Type: Journal Article
• Authors: Li, Tao; Zhou, Hao-Peng; Zhou, Zhi-Jun; Guo, Li-Quan; Zhou, Linfu
• Editors: Wei, Pei-Fang
• Is Part Of: Chinese medical journal. Volume 134:Issue 17(2021)
• Page Start: 2025
• Page End: 2036
• Publication Date: 2021-09-05
• Subjects: Chronic obstructive pulmonary disease -- Small airway obstruction -- Computed tomography -- Phenotype -- Pulmonary function test; Medicine -- Periodicals; Medicine, Oriental -- Periodicals; Medicine; Medicine, Oriental; Medicine; Medicine, East Asian Traditional; Periodicals; Electronic journals; 610.5
• DOI: 10.1097/CM9.0000000000001724
• Languages: English
• ISSNs: 0366-6999

Abstract

Abstract : Abstract: Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease characteristic of small airway inflammation, obstruction, and emphysema. It is well known that spirometry alone cannot differentiate each separate component. Computed tomography (CT) is widely used to determine the extent of emphysema and small airway involvement in COPD. Compared with the pulmonary function test, small airway CT phenotypes can accurately reflect disease severity in patients with COPD, which is conducive to improving the prognosis of this disease. CT measurement of central airway morphology has been applied in clinical, epidemiologic, and genetic investigations as an inference of the presence and severity of small airway disease. This review will focus on presenting the current knowledge and methodologies in chest CT that aid in identifying discrete COPD phenotypes.