Signal Enhancement Ratios (SERs) in Breast Carcinomas Measured by 3D Contrast - MRI and Verified by Histopathology

Abstract

The goal of this project is the evaluation of a three-point contrast-enhanced magnetic resonance imaging (MRI) technique for characterizing breast carcinoma. We have developed a high resolution method that captures both anatomic heterogeneity as well as differences in contrast uptake pattern, using the signal enhancement ratio (SER). 161 patients have been enrolled to date; 148 of these have had histopathologic correlation. 42 patients with stage III/IV breast cancer underwent pre-operative chemotherapy and received contrast-MRI exams prior to chemotherapy, following 1 cycle, and after completing a full course (4 cycles) of neoadjuvant treatment. We previously reported superior capability of MRI relative to mammography for defining extent of disease in the symptomatic breast, with particular value in cases of multifocal disease or presence of an associated in-situ component. We found a significant correlation between peak SER value and both tumor grade and microvessel density, and demonstrated improved diagnostic specificity of the three-point SER method over a standard two- point static' method. Our recent preliminary results in treated tumors demonstrate that contrast-MRI can accurately assess residual tumor volume. Tumor classification by MRI pattern appears to correlate with clinical response and nodal status. MRI may have value for early prediction of end response, recurrence and survival.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1999
Accession Number
ADA386428

Entities

People

  • Nola Hylton

Organizations

  • University of California, San Francisco

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Biopsy
  • Breast Cancer
  • Carcinoma
  • Chemotherapy
  • Classification
  • Contrast
  • Databases
  • Diseases And Disorders
  • High Resolution
  • Histopathology
  • Magnetic Resonance
  • Magnetic Resonance Imaging
  • Mammography
  • Neoplasms
  • North America
  • Residuals

Fields of Study

  • Medicine
  • Physics

Readers

  • Approximation Theory.
  • Oncology and Biomarker-Based Cancer Detection.