EligibleTrials

Blood Based Risk Evaluation With AI for Targeted Primary Health Care in Early Lung Cancer Detection

Recruiting · NCT07552584 · Interventional (participants receive a specific treatment) · Lead sponsor: Vejle Hospital

View the official record on ClinicalTrials.gov →
Lung cancerCOPD

Interventions studied

Risk stratification

What this trial is about

The study is a prospective, non-randomized feasibility study evaluating blood sample and machine learning-based risk stratification for lung cancer in patients with COPD (chronic obstructive pulmonary disease). Patients with COPD will be recruited in general practice, where they will have a blood sample drawn. All data will be analyzed by the machine learning model, and patients with increased risk of lung cancer will be referred for a low-dose CT scan of the chest. The primary objective of the study is to evaluate the feasibility of AI and DNA methylation-based risk stratification for lung cancer in patients with COPD in a primary care setting. The secondary objectives are to evaluate the safety of the risk stratification approach, the potential effects on quality of life and wellbeing, to gain insight into the patient and physician perspectives, and to estimate the health economic consequences.

Who can take part

Age range
50 Years and older
Sex
All (male and female)
Healthy volunteers
No - a diagnosis or condition is required
Phase
Not applicable (e.g. observational or device study)
Study type
Interventional (participants receive a specific treatment)

Inclusion criteria

Exclusion criteria

Where it is running

2 locations listed.

Read the full protocol, contacts and eligibility on ClinicalTrials.gov →

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