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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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