OncoMatch/Clinical Trials/NCT07848815

Risk-Based Lung Cancer Detection in COPD Patients

Official title: Early Lung Cancer Detection in High-Risk Patients With Risk-Based Machine Learning Models and Biomarkers

Is NCT07848815 recruiting? Yes, currently enrolling (Oct 2026). This NA trial studies non-drug interventions for lung cancer (diagnosis).

The goal of the interventional study is to evaluate whether risk-based stratification using the PLCOm2012 model and a machine learning (ML) model can identify patients with chronic obstructive pulmonary disease (COPD) who are at high risk of developing lung cancer and may benefit from low-dose computed tomography (LDCT) screening. The study population includes adults aged 50 years and older with COPD and a history of smoking attending an outpatient clinic. The main question it aims to answer are: \- What is the incidence of histopathologically confirmed lung cancer following risk-based stratification? Participants will: * Undergo lung cancer risk assessment using the PLCOm2012 model and an ML-based model based on clinical and laboratory data * Be referred for LDCT if classified as high-risk * Continue standard care if classified as low-risk * Be followed through electronic health records for up to six years to assess outcomes including lung cancer incidence, adherence to LDCT, time to imaging, healthcare utilization, costs, and safety