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 (
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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