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

基于数字乳房 X 光检查和 BreastScreen 收集的家族史数据，改进和自动化地测量乳腺癌风险，从而实现乳腺癌的定制筛查

• 批准号: nhmrc : GNT1147764
• 负责人: Dr Carolyn Nickson
• 金额: $ 73.09万
• 依托单位国家: 澳大利亚
• 项目类别: Project Grants
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-01-01 至 无数据
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/improved-automated-measures-breast-cancer/1348847
• 关键词: Improved; automated; measures; breast; cancer

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.

我们将使用BreastScreen收集的乳房X线照片和家族史信息，更新和改进我们的数字乳房X线照片新时代的乳房X线照片密度自动测量。然后，我们将开发一种新的风险预测工具，将数字乳房X线摄影的乳房X线摄影密度与其他风险因素结合起来，以便在扫描时向妇女提供风险信息。这一项目的成果将使澳大利亚妇女能够接受有针对性的筛查。