Quantitative Chest CT and Multi-Omics to Distinguish Asthma From COPD and Predict Treatment Response

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.

NCT Number	NCT07602192
Lead Sponsor	Korea University Guro Hospital Collaborators: The Korean Academy of Tuberculosis and Respiratory Diseases, Seoul National University Boramae Hospital
Conditions	Asthma (Diagnosis), COPD (Chronic Obstructive Pulmonary Disease)
Enrollment	200 participants
Start Date	2025-12-22
Primary Completion	2027-11-30 (estimated)
Study Completion	2027-12-22 (estimated)
Updated on ClinicalTrials.gov	2026-07-07