Detection of Metastases in Sentinel Nodes from Patients with Breast Cancer Using Proton Magnetic Resonance Spectroscopy

Funding Activity

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Funded Activity Summary

The objective is to develop magnetic resonance spectroscopy (MRS) for the rapid and accurate intra-operative detection of cancer cells in sentinel lymph nodes from breast cancer patients. Accurate intra-operative diagnosis of cancer in lymph nodes will enable informed decisions to be made regarding surgery and therapy and reduce the morbidity associated with complete clearance of axillary nodes. Using current histopathological techniques (frozen section) this is not possible. Proton MRS can detect chemicals in malignant cells in lymph nodes with a greater sensitivity than histology and can detect micrometastases in 20 minutes. The MR diagnostic information can be obtained from fine needle biopsies (FNB) making the technique eminently suitable for rapid intra-operative diagnosis. The FNB technique has been shown to be a rapid and accurate method for the assessment of breast lesions, distinguishing benign lesions and invasive cancer with a sensitiviy and specificity of 95% and 96%, respectively. Here we propose to evaluate the use of MRS for the rapid and accurate assessment of sentinel nodes from breast cancer patients. Two blinded studies will be conducted comparing the MRS chemical fingerprints with serial section histopathological data. To evaluate the clinical significance of the MRS diagnosis, all patients will be entered into a prospective study correlating the MRS data with recurrence of disease within 3 and 5 year periods.

Funded Activity Details

Start Date: 01-01-2000

End Date: 01-01-2002

Funding Scheme: NHMRC Project Grants

Funding Amount: $186,372.00

Funder: National Health and Medical Research Council

Research Topics

ANZSRC Field of Research (FoR)

Pathology

ANZSRC Socio-Economic Objective (SEO)

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Other Keywords

Breast Cancer | Diagnosis of Node Metastases | Fine Needle Biopsy | Magnetic Resonance Spectroscopy | Micrometastases | Sentinel Node Assessment | Sentinel Nodes