This study aims to improve the diagnosis and treatment prediction of asthma and chronic obstructive pulmonary disease (COPD) by combining quantitative chest computed tomography (CT) imaging with multi-omics data.
Adults with asthma or COPD will be enrolled and undergo routine clinical evaluations, pulmonary function tests, blood tests, and chest CT scans. Additional samples, such as sputum and microbiome specimens, may also be collected. No experimental drugs or devices will be administered as part of this study.
Researchers will analyze CT imaging features together with clinical, laboratory, and biological data to better distinguish asthma from COPD and to identify factors that may predict treatment response. The findings are expected to contribute to more precise and personalized management of chronic airway diseases.
Eligibility
Sex
ALL
Min age
19 Years
Max age
—
Healthy volunteers
No
Inclusion Criteria:
* Age ≥19 years
* COPD group: post-bronchodilator FEV1/FVC \< 0.70
* Asthma group: clinically confirmed diagnosis of asthma by a physician
* Able to provide voluntary written informed consent
Exclusion Criteria:
* Acute exacerbation or active lower respiratory tract infection (e.g., pneumonia) within the past 4 weeks
* Pregnancy or breastfeeding
* Inability to undergo chest CT (e.g., poor cooperation or severe medical condition)
* Refusal to consent to study procedures
Primary outcome measure(s)
Imaging and multi-omic signatures that differentiate asthma from COPD and predict treatment response — From baseline to last follow-up visit (anticipated up to 12 months after enrollment) Composite signatures derived from quantitative chest CT metrics (e.g., low attenuation area percentage, parametric response mapping features, airway measurements, and mucus plug score) integrated with clinical variables, pulmonary function indices, blood-based inflammatory markers, and sputum/microbiome profiles. These integrated features will be evaluated for their ability to (1) distinguish asthma from COPD and (2) predict clinical treatment response.
Trial sites (2)
Facility
City
Region
Status
SMG-SNU Boramae Medical Center
Seoul
Dongjak-gu
Recruiting
Korea University Guro Hospital
Seoul
Guro-gu
Recruiting
More Korea University Guro Hospital trials in South Korea
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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