Abstract #0919
Multiparametric MRI detection and prediction of response to neoadjuvant chemotherapy in breast cancer.
Elizabeth AM O'Flynn 1 , David Collins 2 , James D'Arcy 2 , Maria Schmidt 2 , Kabir Mohammed 3 , and Nandita M deSouza 1
1
Clinical Magnetic Resonance, Institute of
Cancer Research and Royal Marsden Hospital, Sutton,
Surrey, United Kingdom,
2
Clinical
Magnetic Resonance, Insitute of Cancer Research, Sutton,
Surrey, United Kingdom,
3
Statistics,
Royal Marsden Hospital, Sutton, Surrey, United Kingdom
We investigate the role of multiparametric MRI in the
prediction of response to neoadjuvant chemotherapy (NAC)
in breast cancer. 27 women underwent breast MRI at 3T
prior to and after two cycles of NAC. Values for ADC,
R2*, Ktrans, ve, kep and IAUGC were recorded
pixel-by-pixel. The enhancement fraction (EF) was
calculated for each patient. The percentage decrease in
EF after 2 cycles was the best predictor of complete
pathological response on discriminant analysis. EF
should be considered as a potential biomarker for
predicting response to NAC.
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