A New Model for the Estimation of Breast Cancer Risk

Abstract

Cancer risk is the probability that cancer will occur in a given population. Research on cancer risk seeks to identify populations with a high probability of developing cancer. The goal of this research is to merge a computerized analysis of mammograms, which characterizes the breast pattern, with information of a woman's personal and family histories into a novel model for use in estimating risk of breast cancer. The specific aims include 1. Creating a database of mammograms, along with tabulated clinical information of women at low risk and high risk for breast cancer; 2. Developing a new model using computer methods for merging mammographic information with clinical information; and 3. Evaluating the efficacies of the new model compared to currently used methods of risk assessment. The main hypothesis to be tested is that given a group of women, the new computerized risk model that merges computerized analyses of mammograms with clinical information should yield a novel way for identifying those women at risk for breast cancer. The new model will include computer-extracted features from digitized mammograms and clinical information from each woman. The computer-extracted features will be extracted within regions of digitized mammograms.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2000
Accession Number
ADA386521

Entities

People

  • Maryellen Lissak Giger

Organizations

  • University of Chicago

Tags

DTIC Thesaurus Topics

  • Biomedical Research
  • Breast Cancer
  • Computers
  • Correlation Analysis
  • Data Science
  • Databases
  • Genetic Testing
  • Information Science
  • Laboratory Animals
  • Linear Regression Analysis
  • Materials
  • Neoplasms
  • Probability
  • Recombinant Dna
  • Regression Analysis
  • Risk
  • Risk Analysis

Fields of Study

  • Medicine

Readers

  • Computational Modeling and Simulation
  • Medical Imaging.
  • Molecular and genetic basis of cancer.