Automated mammographic measures that predict breast cancer risk

Funding Activity

Website
http://purl.org/au-research/grants/nhmrc/1010644

Funding Status
Closed

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Funded Activity Summary

Mammographic density (MD) is one of the strongest predictors of breast cancer risk but its impractical measurement prevents its use in a clinical setting. An automated measure of MD would allow screening programs to identify and target women at higher risk of breast cancer which could lead to earlier diagnoses and better breast cancer outcomes. We aim to develop an automated measurement, maximized by its ability to predict breast cancer risk, and applicable to both film and digital mammograms.

Funded Activity Details

Start Date: 01-01-2011

End Date: 01-01-2013

Funding Scheme: NHMRC Project Grants

Funding Amount: $406,260.00

Funder: National Health and Medical Research Council

Research Topics

ANZSRC Field of Research (FoR)

Epidemiology

ANZSRC Socio-Economic Objective (SEO)

There are no SEO codes available for this funding activity

Other Keywords

breast cancer | mammogram screening | mammography | risk factors | risk prediction

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