MedTrace Logo

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

NCT07602192 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2026-05-22

No results posted yet for this study

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.

Conditions

  • Asthma (Diagnosis)
  • COPD (Chronic Obstructive Pulmonary Disease)

Sponsors & Collaborators

  • The Korean Academy of Tuberculosis and Respiratory Diseases

    collaborator OTHER

  • Korea University Guro Hospital

    lead OTHER

Principal Investigators

  • Sang Hyuk Kim, MD · Korea University Guro Hospital

Eligibility

Min Age
19 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-12-22
Primary Completion
2027-11-30
Completion
2027-12-22

Countries

  • South Korea

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07602192 on ClinicalTrials.gov