Determination of grade and receptor status from the primary breast lesion by magnetic resonance spectroscopy.
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.
Lean
Cynthia
C
Institute for Magnetic Resonance Research, Dept. of Magnetic Resonance in Medicine, University of Sydney, New South Wales 2006, Australia.
Doran
Sinead
S
Somorjai
Ray L
RL
Malycha
Peter
P
Clarke
David
D
Himmelreich
Uwe
U
Bourne
Roger
R
Dolenko
Brion
B
Nikulin
Alexander E
AE
Mountford
Carolyn
C
D001943:Breast Neoplasms / Q000145:classification / Q000175:diagnosis* / Q000378:metabolism* / Q000473:pathology; D006801:Humans; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D011960:Receptors, Estrogen / Q000378:metabolism*; D011980:Receptors, Progesterone / Q000378:metabolism*
D011960:Receptors, Estrogen; D011980:Receptors, Progesterone