Emerging technologies in surgical planning for breast cancer.
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.
Smith
Justin P
JP
First Hill Diagnostic Imaging, Seattle Surgical Group, and Washington Pathology Consultants, Seattle, WA 98104, USA. jpsmith@firsthill.com
Hanson
John
J
Dawson
John
J
Porter
Bruce
B
Tickman
Ron J
RJ
D001365:Axilla; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000473:pathology / Q000601:surgery; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005260:Female; D005544:Forecasting; D006801:Humans; D008198:Lymph Nodes / Q000473:pathology; D008207:Lymphatic Metastasis / Q000175:diagnosis*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009367:Neoplasm Staging