Risk-based lung cancer screening in COPD patients using ML and clinical models
Official title: Early Lung Cancer Detection in High-Risk Patients With Risk-Based Machine Learning Models and Biomarkers
Run by Vejle Hospital · NCT07848815 · Data updated 2026-11-12
This study tests whether a PLCOm2012 risk model plus a machine learning model can spot COPD patients at high risk for lung cancer to see if they benefit from low-dose CT screening.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 50 Years and up |
| Sex | All |
| Enrollment | 1000 (estimated) |
| Sponsor | Vejle Hospital Academic / other |
| Locations | 1 site (Vejle, Region Syddanmark) |
| Status | Recruiting |
| Started | June 1, 2026 |
| Main results expected | December 2027 |
| Study ends | December 2033 |
| Registry record updated | September 30, 2026 |
| Trial ID | NCT07848815 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 50 or older with COPD and a history of smoking, attending the outpatient Respiratory Medicine clinic at Vejle Hospital, who consent to translational research.
✕Probably not a fit
Patients not classified as high-risk by either model or with contraindications to LDCT may not directly gain benefit from screening.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
In this prospective, single-centre interventional study, 1,000 adults aged 50 and older with COPD and a smoking history will undergo risk assessment using the PLCOm2012 model and an ML-based model. Those identified as high-risk by either model will be referred for low-dose CT screening, while low-risk individuals continue standard care. Participants will be followed through electronic health records for up to six years to evaluate the incidence of histopathologically confirmed lung cancer and other outcomes such as adherence to LDCT and time to screening. The trial aims to assess feasibility and clinical implementation of risk-based stratification to optimize lung cancer detection in a high-risk COPD population.
Why it matters
Potential benefit: If successful, this approach could improve early lung cancer detection in COPD patients by targeting LDCT to those at highest risk.
How similar studies have gone: Prior trials show LDCT screening can reduce lung cancer mortality, and risk-based approaches are being explored, though this specific COPD-focused, model-based stratification is novel.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Diagnosed with COPD * Age ≥ 50 years * Attendance at the outpatient Respiratory Medicine clinic, Vejle Hospital, University Hospital of Southern Denmark * Smoking history (current or former smoker) * Consent to translational research and biobank. Exclusion Criteria: * Previous diagnosis of lung cancer within the last five years. * Active treatment for cancer within the last 12 months except non-melanoma skin cancer and carcinoma in situ cervicis uteri. * Invasive methods to verify potential lung cancer not an option. * Inability to provide informed consent.
Where it's running
-
Vejle Hospital, University Hospital of Southern Denmark
Vejle, Region Syddanmark, Denmark Recruiting
Study contacts
- Study coordinator: Cecilie M. Jacobsen, MScEng
- Email: cecilie.mondrup.jacobsen@rsyd.dk
- Phone: +4579406644
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.