The contribution of risk prediction models to early detection of lung cancer

J Surg Oncol. 2013 Oct;108(5):304-11. doi: 10.1002/jso.23384. Epub 2013 Aug 29.


Low-dose computed tomography screening is a strategy for early diagnosis of lung cancer. The success of such screening will be dependent upon identifying populations at sufficient risk in order to maximise the benefit-to-harm ratio of the intervention. To facilitate this, the lung cancer risk prediction community has established several risk models with good predictive performance. This review focuses on current progress in risk modelling for lung cancer prediction, with some views on future development.

Keywords: early diagnosis; lung neoplasms; risk assessment; screening; statistical model.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Early Detection of Cancer*
  • Female
  • Humans
  • Lung Neoplasms / diagnosis*
  • Male
  • Models, Statistical
  • Risk
  • Risk Reduction Behavior
  • Tomography, X-Ray Computed