Format

Send to

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

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

Author information

1
Roy Castle Lung Cancer Research Programme, Department of Molecular and Clinical Cancer Medicine, The University of Liverpool Cancer Research Centre, Liverpool, UK.

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.

KEYWORDS:

early diagnosis; lung neoplasms; risk assessment; screening; statistical model

PMID:
23996507
DOI:
10.1002/jso.23384
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Wiley
Loading ...
Support Center