Building a Better Model: A Comprehensive Breast Cancer Risk Model Incorporating Breast Density to Stratify Risk and Apply Resources
Annual rept. 25 Sep 2013-24 Sep 2014
VIRGINIA UNIV CHARLOTTESVILLE RECTOR AND VISTORS OF THE UNIVERSITY OF VIRGINIA
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Purpose Development and validation of a personalized breast cancer risk assessment model that includes automated measurement of breast density. Scope Assemble a cohort of women with known breast cancer risk factors and digital mammogram files for women diagnosed with breast cancer using existing data sources and match them to controls HarveyKnaus. Validate and refine automated breast density software YaffeHarvey. Build and validate the initial comprehensive model KnausYaffeHarvey. Major Findings During this second year, we have recruited over 3200 women 622 cases. Breast density measurement has been evaluated for accuracy using a second test set showing very good correlation with 2D methods, for precision using repeated measures with excellent correlation, and variation between vendors. A survey instrument was developed, vetted using focus groups, and administered nearing completion to evaluate screening knowledge, practices, and willingness to change practice.
- Medicine and Medical Research
- Computer Programming and Software