Magnetic Resonance Spectroscopy: An Objective Modality to Identify the Pathology of Breast Neoplasms.

Abstract

Fine Needle Aspirates have been obtained from over 300 patients with breast cancer and analyzed by proton MR spectroscopy at 8.3 Tesla and the results compared with histopathological and clinical data. The results of the blinded study were compared with currently employed diagnostic approaches used in the assessment of breast lesions. Discrimination between invasive cancer and normal or benign or carcinoma in situ gave a sensitivity and specificity of 95 and 96% respectively. All carcinoma in Situ samples with comedo necrosis or a microinvasive component were ranked by MRS with the invasive specimens. Those with in situ disease alone ranked with benign unless there was a malignant tumor elsewhere in the same breast. in order to identify the chemical species which differ in these CIS specimens two dimensional spectroscopy has commenced. Mathematical multivariate analysis procedures have been employed but the large water contribution to the spectrum has interfered with the outcome. Methods to overcome this problem are underway. Specimens have been assessed for their stability in storage and it was found that specimens could not be stored for longer than six months at 7OC. The technology has now been extended and developed for MR spectroscopy assessment of fine needle aspirates from the lymph nodes of breast cancer patients.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1998
Accession Number
ADA357312

Entities

People

  • Carolyn E. Mountford

Organizations

  • University of Sydney

Tags

DTIC Thesaurus Topics

  • Breast Cancer
  • Cancer
  • Carcinoma
  • Cells
  • Chemical Synthesis
  • Chemistry
  • Colon Cancer
  • Health Services
  • Lymphocytes
  • Magnetic Resonance
  • Medical Personnel
  • Neoplasms
  • Oncology
  • Two Dimensional

Fields of Study

  • Medicine

Readers

  • Molecular Photonics/Laser Physics
  • Oncology and Biomarker-Based Cancer Detection.
  • Regression Analysis.