Abstract #0606
Optimization of DCE-MRI measurement parameters for predicting response to neoadjuvant chemotherapy by breast cancer subtype
Wen Li 1 , Wei-Ching Lo 1 , Ella F Jones 1 , David C Newitt 1 , John Kornak 2 , Lisa J Wilmes 1 , and Nola M Hylton 1
1
Radiology and Biomedical Imaging, UCSF, San
Francisco, CA, United States,
2
Epidemiology
and Biostatistics, UCSF, San Francisco, CA, United
States
This abstract presents our retrospective study of
parameter optimization for tumor volume measurement in
DCE-MRI to predict response to neoadjuvant chemotherapy
by breast cancer subtype in clinical trials. Pilot study
consisting of 64 patients was used to test the proposed
optimization strategy. Two standard clinical outcomes
were used to assess the prediction. Results showed that
different profile was observed for different breast
cancer subtype when the prediction was evaluated on a
matrix of parameter settings and the predictive
performance of tumor volume measured in DCE-MRI can be
improved with parameter optimization.
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