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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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