Building a Better Model: A Comprehensive Breast Cancer Risk Model Incorporating Breast Density to Stratify Risk and Apply 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.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2012
Accession Number
ADA573279

Entities

People

  • Jennifer A Harvey
  • M. Yaffe
  • W. Knaus

Organizations

  • University of Virginia

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Biomedical Research
  • Breast Cancer
  • Business Administration
  • Cancer Screening
  • Data Acquisition
  • Data Sets
  • Databases
  • Department Of Defense
  • Institutional Review Board
  • Mammography
  • Measurement
  • Public Health
  • Risk
  • Risk Analysis
  • Risk Factors
  • Two Dimensional

Fields of Study

  • Medicine
  • Physics

Readers

  • Computational Modeling and Simulation
  • Oncology and Biomarker-Based Cancer Detection.