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Abstract #1110

Functional Diffusion Mapping (fDM) for Quantitative DW-MRI to Predict Breast Cancer Response to Neoadjuvant Chemotherapy

Xia Li 1 , Lori R Arlinghaus 1 , A Bapsi Chakravarthy 1 , Richard G Abramson 1 , Vandana Abramson 1 , and Thomas E Yankeelov 1

1 Vanderbilt University, Nashville, Tennessee, United States

DW-MRI has been used to predict treatment response in breast cancer. Studies have shown the ability of the functional diffusion mapping (fDM) method applied on DW-MRI as an early biomarker for survival for patients with brain tumor. However, there is only one study reporting the fDM analysis on breast cancer data. In this study, we attempted to determine 1) if fDM performed on patients with breast cancer can be used to separate responders from non-responders, and 2) does the fDM approach outperform simple region of interest based analysis. The results indicate that the fDM approach on the DW-MRI breast data retains the information of tumor heterogeneity, therefore allowing for an improved ability to predict treatment response when compared to a standard region of interest based analysis.

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