Denne siden ble automatisk oversatt og nøyaktigheten av oversettelsen er ikke garantert. Vennligst referer til engelsk versjon for en kildetekst.

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

3. juli 2026 oppdatert av: Kim, Sang Hyuk, Korea University Guro Hospital

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.

Studieoversikt

Status

Rekruttering

Forhold

Detaljert beskrivelse

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.

Studietype

Observasjonsmessig

Registrering (Antatt)

200

Kontakter og plasseringer

Denne delen inneholder kontaktinformasjon for de som utfører studien, og informasjon om hvor denne studien blir utført.

Studiekontakt

Studer Kontakt Backup

  • Navn: Clinical Research Office Korea University Guro Hospital
  • Telefonnummer: +82-2-2626-1659
  • E-post: kumc.guro.rst@kumc.or.kr

Studiesteder

  • Sør -Korea
    • Dongjak-gu
      • Seoul, Dongjak-gu, Sør -Korea, 07061
        • Rekruttering
        • SMG-SNU Boramae Medical Center
        • Ta kontakt med:
    • Guro-gu
      • Seoul, Guro-gu, Sør -Korea, 08308
        • Rekruttering
        • Korea University Guro Hospital
        • Ta kontakt med:

Deltakelseskriterier

Forskere ser etter personer som passer til en bestemt beskrivelse, kalt kvalifikasjonskriterier. Noen eksempler på disse kriteriene er en persons generelle helsetilstand eller tidligere behandlinger.

Kvalifikasjonskriterier

Alder som er kvalifisert for studier

  • Voksen
  • Eldre voksen

Tar imot friske frivillige

Nei

Prøvetakingsmetode

Ikke-sannsynlighetsprøve

Studiepopulasjon

Adults aged 19 years or older with clinically diagnosed asthma or COPD who are receiving routine care at participating centers and consent to participate in a prospective observational cohort study involving clinical assessments, pulmonary function testing, and chest CT imaging.

Beskrivelse

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

Studieplan

Denne delen gir detaljer om studieplanen, inkludert hvordan studien er utformet og hva studien måler.

Hvordan er studiet utformet?

Designdetaljer

Kohorter og intervensjoner

Gruppe / Kohort
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.

Hva måler studien?

Primære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
Imaging and multi-omic signatures that differentiate asthma from COPD and predict treatment response
Tidsramme: 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.
From baseline to last follow-up visit (anticipated up to 12 months after enrollment)

Sekundære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
Change in Lung Function (FEV1)
Tidsramme: Baseline to 12 months
Change in pre-bronchodilator and/or post-bronchodilator FEV1 (mL) from baseline to last follow-up visit.
Baseline to 12 months
Frequency of acute exacerbations
Tidsramme: 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)
Tidsramme: 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.
Baseline to last follow-up visit (up to 12 months)

Samarbeidspartnere og etterforskere

Det er her du vil finne personer og organisasjoner som er involvert i denne studien.

Sponsor

Korea University Guro Hospital

Samarbeidspartnere

Seoul National University Boramae Hospital
The Korean Academy of Tuberculosis and Respiratory Diseases

Etterforskere

  • Hovedetterforsker: Sang Hyuk Kim, MD, Korea University Guro Hospital

Publikasjoner og nyttige lenker

Den som er ansvarlig for å legge inn informasjon om studien leverer frivillig disse publikasjonene. Disse kan handle om alt relatert til studiet.

Generelle publikasjoner

Studierekorddatoer

Disse datoene sporer fremdriften for innsending av studieposter og sammendragsresultater til ClinicalTrials.gov. Studieposter og rapporterte resultater gjennomgås av National Library of Medicine (NLM) for å sikre at de oppfyller spesifikke kvalitetskontrollstandarder før de legges ut på det offentlige nettstedet.

Studer hoveddatoer

Studiestart (Faktiske)

22. desember 2025

Primær fullføring (Antatt)

30. november 2027

Studiet fullført (Antatt)

22. desember 2027

Datoer for studieregistrering

Først innsendt

22. februar 2026

Først innsendt som oppfylte QC-kriteriene

20. mai 2026

Først lagt ut (Faktiske)

22. mai 2026

Oppdateringer av studieposter

Sist oppdatering lagt ut (Faktiske)

7. juli 2026

Siste oppdatering sendt inn som oppfylte QC-kriteriene

3. juli 2026

Sist bekreftet

1. juli 2026

Mer informasjon

Begreper knyttet til denne studien

Nøkkelord

Ytterligere relevante MeSH-vilkår

Andre studie-ID-numre

  • CTOMICS1
  • 2025GR0637 (Annen identifikator: Korea University Guro Hospital IRB)

Plan for individuelle deltakerdata (IPD)

Planlegger du å dele individuelle deltakerdata (IPD)?

JA

IPD-planbeskrivelse

De-identified individual participant data (IPD), including clinical variables, pulmonary function data, and quantitative chest CT metrics, may be shared with qualified investigators upon reasonable request. Data sharing will be subject to approval by the Institutional Review Board and execution of a data use agreement to ensure appropriate use, confidentiality, and protection of participant privacy. Requests may be submitted after publication of primary study results.

Legemiddel- og utstyrsinformasjon, studiedokumenter

Studerer et amerikansk FDA-regulert medikamentprodukt

Nei

Studerer et amerikansk FDA-regulert enhetsprodukt

Nei

Denne informasjonen ble hentet direkte fra nettstedet clinicaltrials.gov uten noen endringer. Hvis du har noen forespørsler om å endre, fjerne eller oppdatere studiedetaljene dine, vennligst kontakt register@clinicaltrials.gov. Så snart en endring er implementert på clinicaltrials.gov, vil denne også bli oppdatert automatisk på nettstedet vårt. .

Abonnere