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, and (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, 2000
Accession Number
ADA385709

Entities

People

  • Brian K. Rutt
  • Paul Gareau

Tags

DTIC Thesaurus Topics

  • Biomedical Research
  • Blood
  • Blood Flow
  • Blood Volume
  • Breast Cancer
  • Cancer
  • Diffusion
  • Diffusion Coefficient
  • Imaging Techniques
  • Magnetic Resonance
  • Magnetic Resonance Imaging
  • Materials
  • Neoplasms
  • Resonance
  • Sequences
  • Spatial Distribution
  • X-Ray Computed Tomography

Fields of Study

  • Medicine
  • Physics

Readers

  • Medical Imaging.