Prediction of Malignancy in Breast Tumors Using Diffusion Weighted Magnetic Resonance Imaging

Abstract

The purpose of this research is to develop a non-invasive predictor of malignancy in breast tumors using novel magnetic resonance imaging (MRI) techniques. The hypothesis is that the spatial distribution of microvasculature around a breast lesion is specific for malignancy and can be reliably measured by a completely non-invasive MRI method. This hypothesis is being tested by: 1) The design and construction of ultra-high gradient coils for MRI. 2) The implementation of advanced MRI pulse sequences for mapping of microvascular parameters 3) The correlation of MRI-derived vascular parameters (diffusion and perfusion) with histological parameters (tumor grade and microvessel density) in an animal model of human breast cancer.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2002
Accession Number
ADA410127

Entities

People

  • Brian K. Rutt
  • Paula Gareau

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Acquisition
  • Blood
  • Blood Flow
  • Breast Cancer
  • Cancer
  • Computer Programs
  • Construction
  • Diffusion
  • Diffusion Coefficient
  • Imaging Techniques
  • Magnetic Resonance
  • Magnetic Resonance Imaging
  • Materials
  • Neoplasms
  • Resonance
  • Sequences
  • Spatial Distribution

Fields of Study

  • Medicine
  • Physics

Readers

  • Oncology and Biomarker-Based Cancer Detection.
  • Plasma Physics / Magnetohydrodynamics
  • Trauma Surgery or Emergency Medicine.