Lung Cancer Screening: Optimization through risk stratification

Abstract

Lung cancer is the leading cause of cancer related mortality worldwide. However, results from randomized controlled trials indicate that lung cancer mortality can be reduced by early detection through computed tomography screening. This thesis describes the development of a microsimulation model for the evaluation of lung cancer screening programs, based on individual-level data from two large randomized controlled trials. It then evaluates the long-term benefits and harms of implementing lung cancer screening programs. Finally, it investigates how risk stratification may be used to optimize lung cancer screening programs