Computer Simulation of Breast Cancer Screening

Abstract

A breast cancer screening computer model was developed. Simulations of the physics of mammography detection were performed, and the detection probability of breast cancer using mammographic screening was assessed. The detection characteristics of mammographic screening were quantified as a function of breast density and tumor diameter. In addition to modeling the actual screening process, other factors that were incorporated into the screening model include the growth rate of breast cancer, the ethnic breakdown of the US female population, the age and race dependent incidence of breast cancer, and the prognosis of surviving breast cancer once it is detected (size and node status dependent). The age dependent death rate from other (non-breast cancer) causes was also included in the model. The model was capable of producing output parameters which correspond well to published data, and these parameters include the size distribution of breast cancer at detection, and the survival rates from breast cancer. The development of the model led us to consider alternate screening strategies such as breast CT techniques. We conclude that modeling the performance of breast cancer screening is an important tool which will help in the optimization of screening procedures and in reducing breast cancer mortality.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2001
Accession Number
ADB277404

Entities

People

  • John Boone

Organizations

  • University of California

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Computational Science
  • Computer Programs
  • Computers
  • Data Science
  • Databases
  • Detection
  • Detectors
  • Diagnostic Imaging
  • Health Services
  • Information Science
  • Medical Personnel
  • Operating Systems
  • Radiography
  • Spreadsheet Software
  • Three Dimensional
  • Tomography
  • X-Ray Computed Tomography

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