Improving Detection of Early Lung Cancer in a Diverse Population

What this Trial Is About

This research aims to improve early detection of lung cancer in people who are currently at high risk but do not meet existing lung cancer screening criteria. It focuses on individuals with incidental pulmonary nodules (IPNs), which often go without proper follow-up despite their link to lung cancer risk. The study will develop new ways to assess lung cancer risk, including breath and blood tests, and improve interpretation of chest CT scans to better identify and manage these nodules. Participants will provide information about their health, smoking history, and other factors through a questionnaire. They will then give a breath sample using a special device and provide a small amount of blood. Existing chest CT scans will be analyzed with computer software to detect nodules, followed by appropriate monitoring based on current guidelines. The study includes a large group of 3600 people from multiple provinces and plans to validate new tests and technologies to support lung cancer detection. During the study, participants will be asked about their health and history, provide breath and blood samples, and have their CT scans reviewed. Researchers will use these data to develop a risk assessment framework and validate tests over a period of four years. Outcomes include improving lung cancer risk assessment for IPN patients, validating breath and blood tests, enhancing CT scan reading accuracy, and evaluating the cost-effectiveness of these approaches. Participants will be monitored and followed up according to standard clinical guidelines throughout the study.

Improving Detection of Early Lung Cancer in a Diverse Population (IDEAL) Study