1. The contribution of risk prediction models to early detection of lung cancer
- Author
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Fiona E. McRonald, John K. Field, Olaide Y. Raji, Stephen W. Duffy, Ying Chen, and Michael W. Marcus
- Subjects
medicine.medical_specialty ,medicine.diagnostic_test ,business.industry ,Early detection ,Computed tomography ,General Medicine ,medicine.disease ,Risk prediction models ,Surgery ,Oncology ,medicine ,business ,Lung cancer ,Intensive care medicine ,Risk assessment - Abstract
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. J. Surg. Oncol. 2013 108:304–311. © 2013 Wiley Periodicals, Inc.
- Published
- 2013
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