Case Library for Standardization and Testing of a Breast MRI Lexicon

Abstract

The goal of this project was to develop an image database to include the spectrum of findings encountered on breast MR images, along with pertinent clinical history and histopathologic findings. The purpose of the image library was to support the standardization and testing of a breast MRI lexicon, originally developed as part of the International Working Groups on Breast MRI, funded by the DHHS Office on Women's Health. Subsequent support for further refinement of the lexicon was provided by the Susan G. Komen Breast Cancer Foundation and the American College of Radiology. A library of 121 representative breast MRI cases were collected and included representative examples of each of the 26 possible combinations of findings for lesion type, shape/margin and internal enhancement patterns that comprise the current breast MRI lexicon. Groups were asked to provide cases demonstrating specific feature combinations and were also asked to provide relevant associated clinicalinformation and histopathologic outcome. Breast MR images were formatted with case histories and pathologic diagnosis and compiled into a library that was subsequently used in multi-reader studies. The formatted cases will be used to illustrate the ACR BI-RADS MRI Lexicon, which is currently in preparation.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2002
Accession Number
ADA412781

Entities

People

  • Nola M. Hylton

Organizations

  • University of California, San Francisco

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Biomedical Research
  • Breast Cancer
  • California
  • Classification
  • Databases
  • Electronic Mail
  • Health
  • Magnetic Resonance
  • Magnetic Resonance Imaging
  • Medical Personnel
  • Neoplasms
  • Radiology
  • Resonance
  • Standardization
  • Universities
  • Women'S Health

Fields of Study

  • Medicine

Readers

  • Library and Information Science
  • Medical Imaging.
  • Oncology and Biomarker-Based Cancer Detection.