Featured Research

from universities, journals, and other organizations

New tool for clinicians proves effective predictor of lung cancer risk

Date:
August 20, 2012
Source:
University of Liverpool
Summary:
A lung cancer risk prediction model has been shown to be a viable tool for selecting high risk individuals for prevention and control programs.

A CT-detected nodule in the lung.
Credit: University of Liverpool

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.

Related Articles


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 incorporated the harms and benefit of using a risk model to make clinical decisions, indicated that the LLP risk model performed better than smoking duration or family history alone in stratifying high-risk patients for lung cancer CT screening.

Professor Field added: "The identification of individuals with a high risk of developing lung cancer who require appropriate investigations and subsequent treatment is the most important area of early lung cancer research today. The potential for lung cancer screening programmes is now a major focus of ongoing UK and international clinical screening trials which potentially could be instigated in Europe within the next three years. We need to be in a position to have validated methods in place to identify individuals for these screening programmes. The validation of the LLP Risk Model now provides the community with a powerful tool for the selection of future patients into such screening programmes."

Paula Chadwick, Chief Executive of the Roy Castle Lung Cancer Foundation, said: "For the majority, lung cancer is characterised by late diagnosis and remains a devastating disease. That is why the Foundation has focused on funding early detection research over many years. We warmly welcome this research publication, in furthering knowledge on lung cancer screening and we thank our supporters, whose generosity has funded this important work."

The research was undertaken in collaboration with the Cancer Research UK Centre for EMS, Queen Mary University of London, Wolfson Institute of Preventive Medicine, Barts and the London School of Medicine and Dentistry and the National Cancer Institute, USA.


Story Source:

The above story is based on materials provided by University of Liverpool. Note: Materials may be edited for content and length.


Journal Reference:

  1. Olaide Y. Raji, Stephen W. Duffy, Olorunshola F. Agbaje, Stuart G. Baker, David C. Christiani, Adrian Cassidy, John K. Field. Predictive Accuracy of the Liverpool Lung Project Risk Model for Stratifying Patients for Computed Tomography Screening for Lung CancerA Case–Control and Cohort Validation Study. Annals of Internal Medicine, 2012; Aug; 157 (4): 242-250 [link]

Cite This Page:

University of Liverpool. "New tool for clinicians proves effective predictor of lung cancer risk." ScienceDaily. ScienceDaily, 20 August 2012. <www.sciencedaily.com/releases/2012/08/120820170712.htm>.
University of Liverpool. (2012, August 20). New tool for clinicians proves effective predictor of lung cancer risk. ScienceDaily. Retrieved October 30, 2014 from www.sciencedaily.com/releases/2012/08/120820170712.htm
University of Liverpool. "New tool for clinicians proves effective predictor of lung cancer risk." ScienceDaily. www.sciencedaily.com/releases/2012/08/120820170712.htm (accessed October 30, 2014).

Share This



More Health & Medicine News

Thursday, October 30, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Mind-Controlled Prosthetic Arm Restores Amputee Dexterity

Mind-Controlled Prosthetic Arm Restores Amputee Dexterity

Reuters - Innovations Video Online (Oct. 29, 2014) A Swedish amputee who became the first person to ever receive a brain controlled prosthetic arm is able to manipulate and handle delicate objects with an unprecedented level of dexterity. The device is connected directly to his bone, nerves and muscles, giving him the ability to control it with his thoughts. Matthew Stock reports. Video provided by Reuters
Powered by NewsLook.com
Google To Use Nanoparticles, Wearables To Detect Disease

Google To Use Nanoparticles, Wearables To Detect Disease

Newsy (Oct. 29, 2014) Google X wants to improve modern medicine with nanoparticles and a wearable device. It's all an attempt to tackle disease detection and prevention. Video provided by Newsy
Powered by NewsLook.com
Can Drinking Milk Lead To Early Death?

Can Drinking Milk Lead To Early Death?

Newsy (Oct. 29, 2014) Researchers in Sweden released a study showing heavy milk drinkers face an increased mortality risk from a variety of causes. Video provided by Newsy
Powered by NewsLook.com
Obama: The US Will Not 'run and Hide' From Ebola

Obama: The US Will Not 'run and Hide' From Ebola

AP (Oct. 29, 2014) Surrounded by health care workers in the White House East Room, President Barack Obama said the U.S. will likely see additional Ebola cases in the weeks ahead. But he said the nation can't seal itself off in the fight against the disease. (Oct. 29) Video provided by AP
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:

Strange & Offbeat Stories


Health & Medicine

Mind & Brain

Living & Well

In Other News

... from NewsDaily.com

Science News

Health News

    Environment News

    Technology News



    Save/Print:
    Share:

    Free Subscriptions


    Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

    Get Social & Mobile


    Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

    Have Feedback?


    Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
    Mobile: iPhone Android Web
    Follow: Facebook Twitter Google+
    Subscribe: RSS Feeds Email Newsletters
    Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins