Quantitative Chest CT and Multi-Omics to Distinguish Asthma From COPD and Predict Treatment Response (CTOMICS)
Prospective Multicenter Cohort to Discriminate Asthma Versus Chronic Obstructive Pulmonary Disease and Predict Treatment Response Using Quantitative Chest CT and Multi-Omics
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.
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
This is a prospective, observational, multi-center cohort study designed to integrate quantitative chest CT imaging with multi-omics data to improve differentiation between asthma and chronic obstructive pulmonary disease (COPD) and to identify biomarkers associated with treatment response.
Eligible participants will include adults diagnosed with asthma or COPD who agree to participate in longitudinal clinical follow-up. At baseline and during follow-up, participants will undergo standard clinical assessments, including symptom questionnaires, pulmonary function testing, blood sampling, and chest CT imaging. Additional biological samples, such as sputum and microbiome specimens, may be collected when clinically feasible.
Quantitative CT metrics (e.g., low attenuation area percentage, parametric response mapping features, airway wall measurements, and mucus plug scores) will be extracted from imaging data. These imaging biomarkers will be integrated with clinical variables, laboratory parameters (including inflammatory markers and immunoglobulin profiles), and microbiome data.
The primary objectives are: (1) to identify imaging and biological signatures that distinguish asthma from COPD, and (2) to determine whether these signatures can predict response to standard clinical treatments. No investigational drugs or medical devices are involved, and all procedures reflect routine clinical care.
Data will be analyzed using advanced statistical and computational methods to explore associations between imaging, biological markers, and clinical outcomes. Results are expected to enhance understanding of disease mechanisms and support the development of personalized treatment strategies for chronic airway diseases.
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Sang Hyuk Kim, MD
- Phone Number: +82-2-2626-1659
- Email: gost702@korea.ac.kr
Study Contact Backup
- Name: Clinical Research Office Korea University Guro Hospital
- Phone Number: +82-2-2626-1659
- Email: kumc.guro.rst@kumc.or.kr
Study Locations
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-
Guro-gu
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Seoul, Guro-gu, South Korea, 08308
- Recruiting
- Korea University Guro Hospital
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
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
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
|---|
|
Prospective Asthma-COPD Cohort
This cohort includes adults with physician-diagnosed asthma or chronic obstructive pulmonary disease (COPD) who are enrolled in a prospective, observational study.
Participants undergo routine clinical assessments, pulmonary function testing, blood sampling, and chest computed tomography (CT) imaging as part of standard care and study-related data collection.
No investigational drugs or medical devices are administered.
Data from clinical evaluations, imaging, and biospecimens (e.g., blood and sputum) will be analyzed to characterize disease features and predict treatment response.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Imaging and multi-omic signatures that differentiate asthma from COPD and predict treatment response
Time Frame: From baseline to last follow-up visit (anticipated up to 12 months after enrollment)
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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.
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From baseline to last follow-up visit (anticipated up to 12 months after enrollment)
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in Lung Function (FEV1)
Time Frame: Baseline to 12 months
|
Change in pre-bronchodilator and/or post-bronchodilator FEV1 (mL) from baseline to last follow-up visit.
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Baseline to 12 months
|
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Frequency of acute exacerbations
Time Frame: Up to 12 months after enrollment
|
Number of moderate or severe exacerbations during follow-up.
|
Up to 12 months after enrollment
|
|
Changes in Quantitative Chest CT Imaging Biomarkers (LAA-950, PRMfSAD, Pi10, BV5/TBV)
Time Frame: Baseline to last follow-up visit (up to 12 months)
|
Changes in chest CT-derived quantitative imaging biomarkers including parametric response mapping of functional low attenuation area at -950 HU (LAA-950), small airway disease (PRMfSAD), airway wall thickness (Pi10), and small vessel fraction (BV5/TBV) from baseline to last follow-up visit.
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Baseline to last follow-up visit (up to 12 months)
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Sang Hyuk Kim, MD, Korea University Guro Hospital
Publications and helpful links
General Publications
- Chaudhary MFA, Bhatt SP. Imaging Endpoints for Biologic Therapy in Chronic Obstructive Pulmonary Disease. Br J Radiol. 2025 Jul 31:tqaf179. doi: 10.1093/bjr/tqaf179. Online ahead of print.
- Trivedi A, Hall C, Hoffman EA, Woods JC, Gierada DS, Castro M. Using imaging as a biomarker for asthma. J Allergy Clin Immunol. 2017 Jan;139(1):1-10. doi: 10.1016/j.jaci.2016.11.009.
- Bhatt SP, Han MK. Developing and Implementing Biomarkers and Novel Imaging in COPD. Chronic Obstr Pulm Dis. 2016 Jan 15;3(1):485-490. doi: 10.15326/jcopdf.3.1.2015.0170.
- Kim SH, Yang Z, Chang SW, Sim JK, Oh JY, Min KH, Hur GY, Lee SY, Shim JJ, Choi J, Yong HS. Airway Quantification Using Ultra-Low-Dose Computed Tomography Correlates With Pulmonary Function Indices in Patients With Asthma. J Korean Med Sci. 2026 Feb 2;41(5):e56. doi: 10.3346/jkms.2026.41.e56.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Pathologic Processes
- Chronic Disease
- Disease Attributes
- Immune System Diseases
- Respiratory Tract Diseases
- Lung Diseases
- Bronchial Diseases
- Lung Diseases, Obstructive
- Respiratory Hypersensitivity
- Hypersensitivity, Immediate
- Hypersensitivity
- Pathological Conditions, Signs and Symptoms
- Pulmonary Disease, Chronic Obstructive
- Asthma
- Disease
Other Study ID Numbers
Other Study ID Numbers
- CTOMICS1
- 2025GR0637 (Other Identifier: Korea University Guro Hospital IRB)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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