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Abstract #0504

Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy with High b-Value Non-Gaussian Diffusion MRI

Muge Karaman1,2, Shunan Che3, Guangyu Dan1,4, Zheng Zhong1,2, Xinming Zhao3, Han Ouyang3, and Xiaohong Joe Zhou1,2,5

1Center for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 3Department of Radiology, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China, 4Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL, United States, 5Departments of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States

Neoadjuvant chemotherapy has been used to extend surgical options by downstaging tumor in both locally advanced and operable breast cancer. An early imaging assessment of tumor response to neoadjuvant chemotherapy is critical for timely tailoring personalized treatment strategies. In this study, we investigate whether the changes in the parameters derived from a non-Gaussian diffusion model – continuous-time random-walk (CTRW) model – are predictive of pathologic response in women undergoing neoadjuvant chemotherapy. Our results demonstrate the high predictive performance of the combined changes in CTRW parameters from pre-treatment levels as early as the second cycle of chemotherapy.

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