Improved and automated measures of breast cancer risk based on digital mammography and family history data collected by BreastScreen that will enable tailored screening for breast cancer [ 2018 - ]

Research Grant

Researchers: Prof John Hopper (Principal investigator) ,  Dr Carolyn Nickson ,  Dr Daniel Schmidt ,  Dr Enes Makalic ,  Dr Gillian Dite
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Brief description We will use mammograms and family history information collected by BreastScreen to update and improve our automated measures of mammographic density for the new era of digital mammograms. We will then develop a new risk prediction tool by combining the measure of mammographic density for digital mammograms with other risk factors so that information on risk can be given to women at the time of their scans. The results of this project will enable Australian women to receive tailored screening.

Funding Amount $730,947.00

Funding Scheme Project Grants

Notes Standard Project Grant