Lung Cancer is common in Asia and is different from lung cancer from Western countries in terms of lung cancer epidemiology and management. Lung cancer can be detected early but most early-stage lung cancer appear as lung nodules with suspicious features on imaging. Workup and surveillance for subjects with suspicious lung nodule is a clinical problem. There is no consensus and clinical practice usually varies with local epidemiology of lung diseases namely the local clinical characteristics especially with lung cancer and pulmonary tuberculosis. The clinical challenge is to address whether pulmonary nodules identified on CT screening carry short- and long-term risk for lung cancer. The main objective of this study is to test the improvement of efficiency of diagnostic evaluation with clinical parameters and ctDNA mutation/methylation profiling for artificial intelligence modeling of for early detection of lung cancer in subjects with suspicious lung nodules. The hypothesis is that ctDNA mutation and methylation will enhance early detection of lung cancer in patients with suspicious lung nodules. This is a longitudinal cohort study. A total of 200 subjects (100 from Hong Kong and 100 from Vietnam) with suspicious lung nodules on CT Thorax will be recruited. Blood samples will be collected at recruitment and subsequent 6 months follow up. ctDNA mutations and methylation with SPOTMAS Lung assays would be performed at baseline and at 6 months follow-up. The CT scan where the suspicious lung nodules were identified, will be used as baseline scan for recruitment. Recruited subjects will be arranged with a non-contrast LDCT scans at 6 months follow-up. The primary outcome measure of the study is the detection of ctDNA mutation and methylation in correlation with diagnosis of lung cancer or persistence of suspicious lung nodules. The secondary outcome measures of the study are the Sensitivity and specificity of clinical biomarkers in correctly identifying malignant lung nodule, i.e., lung cancer.
Age range
45 Years – 80 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
ctDNA mutation and methylation may contribute to the early identification of lung cancer in patients with suspicious lung nodules.
Timeframe: 2 year study follow up and surveillance