An Evaluation of Stereoscopic Digital Mammography for Earlier Detection of Breast Cancer and Reduced Rate of Recall

Abstract

The goal of this project is to evaluate stereoscopic digital mammography, compared to standard, non-stereo digital mammography, for the earlier detection of breast cancer and reduced rate of patient recall for further workup. During the project, approximately 2000 women at elevated risk for development of breast cancer will receive both standard (non- stereo) and stereo digital mammograms at the Emory Breast Clinic. In this second year of the project, we replaced the original CRT-based stereo display workstation with a new improved stereo workstation based on a pair of high-resolution, LCD medical monitors. The change to the new workstation has required us to rewrite the software application that will be used by the participating mammographers to control various aspects of the displayed stereo mammogram as they interpret mammographic cases. The revised software will include new capabilities that were not feasible on the original workstation. A copy of the completed stereo workstation will be shipped to Emory University in August, 2004 at which time we will begin enrolling patients into the study. The research protocol was changed slightly during the year. The Research Protocol and Subject Consent documents were modified accordingly and approved by both the Emory and Army IRB's.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2004
Accession Number
ADA429845

Entities

People

  • David J. Getty

Organizations

  • BBN Technologies

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Angiography
  • Application Software
  • Breast Cancer
  • Databases
  • Detection
  • Detectors
  • Diagnostic Imaging
  • Display Systems
  • Health Services
  • High Resolution
  • Information Science
  • Liquid Crystal Displays
  • Medical Personnel
  • Radiography
  • Three Dimensional
  • Tomography
  • X-Ray Computed Tomography

Readers

  • Clinical Trial Research.
  • Human-Computer Interaction (HCI).
  • Oncology and Biomarker-Based Cancer Detection.