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Abstract #4583

Assumed AIFs in DCE-MRI: Which performs best for assessing breast cancer response?

David K Woolf 1 , N. Jane Taylor 2 , Nina Tunariu 3 , Andreas Makris 1 , Sonia P Li 1 , Mei-Lin W Ah-See 1 , Mark J Beresford 4 , J. James Stirling 2 , James A d'Arcy 3 , David J Collins 3 , and Anwar R Padhani 2

1 Academic Department of Oncology, Mount Vernon Hospital, Northwood, Middlesex, United Kingdom, 2 Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, Middlesex, United Kingdom, 3 CR-UK-EPSRC Cancer Imaging Centre, Institute of Cancer Research & Royal Marsden Hospital, Sutton, Surrey, United Kingdom, 4 Royal United Hospital Bath, Bath, United Kingdom

We evaluated the performance of six modelled Arterial Input Functions (AIFs) used with the standard Tofts model in the setting of primary breast cancer treatment with neoadjuvant (NAC) chemotherapy. Quantitative parameters were calculated for 27 patients at baseline and after 2 cycles of NAC. We assessed the models abilities to fit patient DCE-MRI data, provide physiologically-plausible results, and to predict pathologic complete response (pCR). The modified Fritz-Hansen model performed best with area under the ROC curve 0.74 and a sensitivity of 87.5% for pCR prediction. The Weinmann and femoral artery AIFs performed least well.

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