title: Use of lung cancer risk models in planning research and service programs in CT screening for lung cancer.
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.
authors.affiliation: Cancer Research UK Centre for EMS, Wolfson Institute of Preventive Medicine, Barts and the London School of Medicine and Dentistry, Charterhouse Square, London EC1M 6BQ, UK. s.w.duffy@qmul.ac.uk
authors.forename: Stephen W
authors.initials: SW
authors.lastname: Duffy
authors.forename: Olaide Y
authors.initials: OY
authors.lastname: Raji
authors.forename: Olorunsola F
authors.initials: OF
authors.lastname: Agbaje
authors.forename: Prue C
authors.initials: PC
authors.lastname: Allgood
authors.forename: Adrian
authors.initials: A
authors.lastname: Cassidy
authors.forename: John K
authors.initials: JK
authors.lastname: Field
mesh_terms: D006801:Humans; D008175:Lung Neoplasms / Q000175:diagnosis* / Q000209:etiology; D008403:Mass Screening / Q000379:methods; D015233:Models, Statistical; D016730:Program Development / Q000379:methods; D012306:Risk; D012307:Risk Factors; D014057:Tomography, X-Ray Computed / Q000379:methods*