Is Breast Densitometry a Measure of Breast Cancer Risk?

Abstract

Perhaps the least recognized risk factor for breast cancer is breast density. Other than age breast density as measured using the radiographic contrast in mammograms between fat and nonfatty tissue has been shown to be one of the strongest indicators of breast cancer risk available. The primary aim of our research is to fully develop new technologies, dual and single energy x-ray absorptiometry (DXA and SXA), for breast densitometry that could be used to clinically assess the risk of breast cancer and to serve as a sensitive and highly reproducible surrogate marker for testing new methods for preventing breast cancer. DXA %FAT was found to be highly correlated to phantom percent glandular density (r > 0.998). In addition, DXA %FAT was found to be highly correlated to mammographic density using excised cadaveric breasts (r (r adjusted = 0.83). DXA precision (SD) on whole breast tissue samples was 0.5% without repositioning and 1.1% with breast repositioning. Based on this validation of the DXA technique, we have constructed an In vivo DXA positioning aid to be used on commercial DXA equipment and in planned clinical validation trials. With regards to SXA, a workstation and a dynamically adjustable phantom have been designed and constructed. However, full validation of precision and accuracy has not been completed. We plan to follow these encouraging initial results with a case-control study to show that compositional breast density is as highly or more highly predictive of cancer risk than mammographic density alone.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2002
Accession Number
ADB288221

Entities

People

  • John A. Shepherd
  • Karla Kerlikowske
  • Steve Cummings
  • Sven Prevrhal

Organizations

  • University of California, San Francisco

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Accuracy
  • Biomedical Research
  • Breast Cancer
  • Detectors
  • Government Procurement
  • Governments
  • Gray Scale
  • Mammography
  • Measurement
  • Medical Personnel
  • Neoplasms
  • Pilot Studies
  • Radiation
  • Risk Factors
  • Soft Tissues
  • Standards
  • X Rays

Fields of Study

  • Medicine
  • Physics

Readers

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