Abstract
Computed tomography screening for lung cancer is now being tested in a number of international trials. The long-term success of the approach in the future National Screening Programme is dependent upon identifying populations at sufficient risk of lung cancer that the benefit–harm ratio of the intervention is likely to be high. There are a number of lung cancer risk prediction models currently available. We review these, and demonstrate, using the Liverpool Lung Project risk prediction model as a case study, the potential for use of a risk prediction model in the design of a randomized trial of lung cancer screening and in the planning of a service screening program.
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