Risk assessment of individuals with screen-detected lung nodules
As a subsequent step, a model which predicts risk of lung cancer in individuals with screening detected lung nodules will be built. A multivariable Cox regression model or a multivariable logistic regression model will be built, depending on whether time-to-event outcome variables have been successfully obtained. The factors identified in the systematic review will comprise the potential predictor variables in the model.
As a result of this project, it will be possible to more accurately identify the subset of screenees who are safe to be left without any further investigation or surveillance until the next screening round. The meta-analysis team will be advised and overseen by a group of multidisciplinary collaborators who are active in LC-screening research.
- To identify risk factors predictive of LC, which are known at the time of the scan, in patients with LDCT screen-detected lung nodules
- To more accurately identify the subset of screenees who are safe to be left without any further investigation or surveillance until the next screening round
Professor Harry de Koning, Erasmus MC
Professor John Field, University of Liverpool
Dr Christine Berg, US NCI (retired)
Dr Arjun Nair, University College London Hospitals NHS Foundation Trust
Professor Robert Rintoul, University of Cambridge
Professor Sam Janes, UCL
Dr Phil Crosbie, University of Manchester
Professor Matthew Callister, Leeds Teaching Hospitals
Dr Mark Hammer, Harvard Medical School
Dr Carolyn Horst, Kings College London