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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