Katki HA, et al. - In this population-based prospective studies, the researchers compared the U.S. screening populations selected by 9 lung cancer risk models (the Bach model; the Spitz model; the Liverpool Lung Project [LLP] model; the LLP Incidence Risk Model [LLPi]; the Hoggart model; the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial Model 2012 [PLCOM2012]; the Pittsburgh Predictor; the Lung Cancer Risk Assessment Tool [LCRAT]; and the Lung Cancer Death Risk Assessment Tool [LCDRAT]) and to investigate their predictive performance in 2 cohorts. According to the findings obtained, the 9 lung cancer risk models chose widely differing U.S. screening populations, however, 4 models (the Bach model, PLCOM2012, LCRAT, and LCDRAT) most precisely predicted risk and performed best in selecting ever-smokers for screening.