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Abstract #4068

Assessing breast cancer response with DCE-MRI: Are signal intensity/time curves adequate?

David K Woolf 1 , Sonia P Li 1 , N. Jane Taylor 2 , Andreas Makris 1 , Andrew Gogbashian 2 , Mark J Beresford 3 , Mei-Lin W Ah-See 1 , J. James Stirling 2 , David J Collins 4 , 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 Royal United Hospital Bath, Bath, United Kingdom, 4 CR-UK-EPSRC Cancer Imaging Centre, Institute of Cancer Research & Royal Marsden Hospital, Sutton, Surrey, United Kingdom

Quantitative DCE-MRI can predict both response and outcome in breast cancer patients after 2 cycles of neoadjuvant chemotherapy (NAC). Quantitative parameters are time-consuming to calculate, requiring expensive software and interpretive expertise. This study shows that the easier to use, signal intensity-time curve (SITC) shapes were significantly associated with K trans values at baseline and after two cycles of NAC (both p = 0.000). Changes in curve type and K trans were significantly associated ( lower case Greek chi 2 = 53.5, p = 0.000). Reductions of >1 in SITC shape predicts improved overall 5 year survival (81% vs 69% (p = 0.048)).

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