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

Summary

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

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

Conditions4

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