Abstract #0504

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

Muge Karaman^1,2, Shunan Che³, Guangyu Dan^1,4, Zheng Zhong^1,2, Xinming Zhao³, Han Ouyang³, and Xiaohong Joe Zhou^1,2,5

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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