Improving Lung Cancer Screening Selection: The HUNT Lung Cancer Risk Model for Ever-Smokers Versus the NELSON and 2021 United States Preventive Services Task Force Criteria in the Cohort of Norway: A Population-Based Prospective Study

• DOI: 10.1016/j.jtocrr.2024.100660
• Publication Date: 2024-03-05T17:35:46Z
• Authors: Olav Toai Duc Nguyen; Ioannis Fotopoulos; Maria Markaki; Ioannis Tsamardinos; Vincenzo Lagani; Oluf Dimitri Røe
• Keywords: Task force; Norwegian

Background: Improving the method for selecting participants lung cancer (LC) screening is an urgent need.Here we compare performance of HUNT Lung Cancer Model (HUNT LCM) versus NELSON and 2021 USPSTF criteria regarding LC risk prediction efficiency.Methods: We used linked data from ten Norwegian prospective population-based cohorts, Cohort Norway (CONOR).The study included 44,831 ever-smokers where 686 (1.5%) subjects developed LC, median follow-up time was 11.6 years (0.01-20.8 years).Results: Within six years, 222 (0.5%) individuals LC.The predicted 37.4% 59.5% cases, respectively.By considering same number as selected, LCM increased rate with 41.0% 12.1%, respectively.The significantly sensitivity (P<0.001 P=0.028), reduced needed to predict one case (29 vs. 40, P<0.001 36 P=0.02), respectively.Applying six-year 0.98% score a cutoff (14.0% ever-smokers) 70.7% all increasing 89.2% 18.9% USPSTF, respectively (both P<0.001). Conclusions:The more efficient than criteria, improving diagnosis may be validated clinical tool selection.