Emerging technologies in surgical planning for breast cancer

Justin P Smith; John Hanson; John Dawson; Bruce Porter; Ron J Tickman

doi:10.1016/s0002-9610(02)00938-8

Emerging technologies in surgical planning for breast cancer

Am J Surg. 2002 Oct;184(4):377-9. doi: 10.1016/s0002-9610(02)00938-8.

Authors

Justin P Smith¹, John Hanson, John Dawson, Bruce Porter, Ron J Tickman

Affiliation

¹ First Hill Diagnostic Imaging, Seattle Surgical Group, and Washington Pathology Consultants, Seattle, WA 98104, USA. jpsmith@firsthill.com

PMID: 12383907
DOI: 10.1016/s0002-9610(02)00938-8

Abstract

Background: Computer-assisted diagnosis (CAD) has been applied to mammography and chest radiography to improve diagnostic accuracy, and has the potential to improve the accuracy of magnetic resonance imaging (MRI) for detecting nodal metastases in women with newly diagnosed breast cancer.

Methods: Six women with newly diagnosed breast cancer underwent MRI of the breast and axilla. Radiologists applied digital tissue recognition (DTR), a form of CAD, to the MR images to detect nodal metastases. The results were compared with clinical staging and to surgical pathology.

Results: The accuracy of clinical staging for the 6 subjects was 3 of 6 (50%), and with DTR-MRI it rose to 6 of 6 (100%).

Conclusions: DTR-MRI is a potential method for noninvasively detecting axillary nodal involvement in women with newly diagnosed breast carcinoma.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Axilla
Breast Neoplasms / diagnosis*
Breast Neoplasms / pathology
Breast Neoplasms / surgery
Diagnosis, Computer-Assisted / methods*
Female
Forecasting
Humans
Lymph Nodes / pathology
Lymphatic Metastasis / diagnosis*
Magnetic Resonance Imaging / methods*
Neoplasm Staging