Lean Cynthia, Doran Sinead, Somorjai Ray L, Malycha Peter, Clarke David, Himmelreich Uwe, Bourne Roger, Dolenko Brion, Nikulin Alexander E, Mountford Carolyn
Institute for Magnetic Resonance Research, Dept. of Magnetic Resonance in Medicine, University of Sydney, New South Wales 2006, Australia.
Technol Cancer Res Treat. 2004 Dec;3(6):551-6. doi: 10.1177/153303460400300604.
Magnetic resonance spectra (MRS) from fine needle aspiration biopsies (FNAB) from primary breast lesions were analysed using a pattern recognition method, Statistical Classification Strategy, to assess tumor grade and oestrogen receptor (ER) and progesterone receptor (PgR) status. Grade 1 and 2 breast cancers were separated from grade 3 cancers with a sensitivity and specificity of 96% and 95%, respectively. The ER status was predicted with a sensitivity of 91% and a specificity of 90%, and the PgR status with a sensitivity of 91% and a specificity of 86%. These classifiers provide rapid and reliable, computerized information and may offer an objective method for determining these prognostic indicators simultaneously with the diagnosis of primary pathology and lymph node involvement.
