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New tool for clinicians proves effective predictor of lung cancer risk
Date:8/20/2012

LIVERPOOL, UK 20 August 2012: A lung cancer risk prediction model developed by scientists at the University of Liverpool has been shown to be a viable tool for selecting high risk individuals for prevention and control programmes.

The model, developed at the University's Cancer Research Centre and funded by the Roy Castle Lung Cancer Foundation, was tested in international datasets and found to be a more effective predictor of individuals at risk than smoking duration or family history alone. The results are published in the Annals of Internal Medicine.

Professor John Field, who led the development of the model, said: "Risk prediction models are now considered an important method of identifying high risk patients for cancer screening programmes. Lung cancer kills more people than any other malignancy in the UK, with over 35,000 deaths per year, thus it's imperative that we have a method of identifying individuals with a high risk of developing this disease and investigate appropriately."

The risk model is now being used to select individuals for the UK Lung Cancer CT Screening Trial (UKLS), funded by the National Institute for Health Research Health Technology Assessment Programme (NIHR HTA), which is also run from Liverpool.

The Liverpool Lung Project risk prediction model calculates an individual's chance of developing lung cancer within the next five years. The model currently uses information on smoking duration; previous diagnosis of pneumonia; previous diagnosis of other cancer; occupational exposure to asbestos and relative age at onset of lung cancer diagnosis. The model is also useful for selecting high risk individuals for prevention and control programmes.

The model was validated in three independent studies from Europe and a Harvard case-control study in North America. The analysis demonstrated the model's predicted benefit for stratifying patients for CT screening. The analysis, which i
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Contact: Kate Mizen
kate.mizen@liv.ac.uk
0044-151-794-2247
University of Liverpool
Source:Eurekalert  

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