Building a Better Model: A Personalized Breast Cancer Risk Model Incorporating Breast Density to Stratify Risk and Improve Application of Resources
Abstract
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 (Harvey/Knaus). Validate and refine automated breast density software (Yaffe/Harvey). Build and validate the initial comprehensive model (Knaus/Yaffe/Harvey). Major Findings: During this first year, we have established messaging, IRB and CDMRP approval, and recruitment for this study. We have recruited over 1000 of our target 4000 women cohort. We have performed outlier correction for automated measurement of breast density, including two volumetric methods (CumulusV, Volpara), developed an automated area based density measurement, and have obtained very good correlation compared with the gold standard manual method.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2012
- Accession Number
- ADA573276
Entities
People
- J. Harvey
- Martin Yaffe
- W. Knaus