Prospective study to assess lung cancer screening with low dose CT scan (LDCT) in Latin America (LATAM) and prospectively evaluate chest-XRay analyzed with artificial intelligence (AI) using qXRin (QURE ai) at the initial visit correlating with the findins of the initial LDCT in patients with other high risk criteria to develop lung cancer. 2000 patients will be recruited in 4 LATAM countries (Mexico 700 pts, Costa Rica 300 pts, Colombia 500 pts, Argentina 500 pts). All patients will be ≥50years of age with one of the following additional inclusion criteria: a. exposure to wood smoke (at least 100 hours/year), b.family history of lung cancer in a first degree relative, c. COPD and/or emphysema, d. smokers with a tobacco index of 10 y or more. The exclusion criteria include: a. lung cancer diagnosis or other type of cancer 5 years prior to screening, b. loss of 10% of baseline weight 6 months before inclusion, c. ineligible for LDCT, d. life expectancy ≤5 years, and e. previous history of pulmonary nodules.
The primary objective of the study is the utility of LDCT-based lung cancer screening in identifying suspicious lung nodules in smokers and non-smokers across LATAM, with secondary objectives including: 1- Utility of qXR-LNMS (lung nodule malignancy score) of chest XRay for lung cancer risk assessment to exclude low risk patients from LDCT screening, 2- Utility of LDCT-based lung cancer screening in subjects with various risk profiles in LATAM, 3- Prevalence of lung nodules in the study population, 4-Mortality rate in the subjects diagnosed with an anomaly in the LDCT (with or without LC diagnosis).
