Lung Cancer Risk Models for Screening (R package: lcrisks)
In both the absence and presence of screening, the R package calculates individual risks of lung cancer and lung cancer death based on covariates: age, education, sex, race, smoking intensity/duration/quit-years, Body Mass Index, family history of lung-cancer, and self-reported emphysema. In the presence of CT screening akin to the NLST (3 yearly screens, 5 years of follow-up), it uses the covariates to estimate risk of false-positive CT screen as well as the reduction in risk of lung cancer death and increase in risk of lung cancer screening.
Software Download (Version 2.0.0):
- Katki HA, Kovalchik SA, Berg CD, Cheung LC, Chaturvedi AK. Development and validation of risk models to select ever-smokers for CT lung cancer screening. JAMA. 2016; 315(21):2300-2311. doi: 10.1001/jama.2016.6255. [PubMed]
Email: Li Cheung and Hormuzd Katki