Computed tomography-identified phenotypes of small airway obstructions in chronic obstructive pulmonary disease.
10.1097/CM9.0000000000001724
- VernacularTitle:Computed tomography-identified phenotypes of small airway obstructions in chronic obstructive pulmonary disease
- Author:
Tao LI
1
;
Hao-Peng ZHOU
2
;
Zhi-Jun ZHOU
3
;
Li-Quan GUO
4
;
Linfu ZHOU
1
Author Information
1. Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu 210029, China.
2. Department of Medicine, Jiangsu University School of Medicine, Zhenjiang, Jiangsu 212013, China.
3. Institute of Radio Frequency & Optical Electronics-Integrated Circuits, School of Information and Engineering, Southeast University, Nanjing, Jiangsu 210096, China.
4. Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China.
- Publication Type:Review
- MeSH:
Airway Obstruction;
Humans;
Phenotype;
Pulmonary Disease, Chronic Obstructive/diagnostic imaging*;
Pulmonary Emphysema/diagnostic imaging*;
Tomography, X-Ray Computed
- From:
Chinese Medical Journal
2021;134(17):2025-2036
- CountryChina
- Language:English
-
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.
