Abstract #4014

Integrated DWI for Pre-treatment Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer

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

¹Center for MR 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, ⁴Departments of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States

Synopsis

Neoadjuvant chemotherapy (NAC) has been shown to improve the outcome in patients with locally advanced inoperable or operable breast cancer. An early imaging assessment of response to NAC is critical for managing breast cancer to minimize the toxic side effects of ineffective chemotherapy. In this study, we have used an integrated diffusion-weighted imaging approach for simultaneous assessment of tissue cellularity, vascularity, and heterogeneity – DISMANTLE – from a full b-value spectrum to predict breast cancer’s response to NAC. Histogram features of pre-treatment DISMANTLE parameters were evaluated for predicting tumor response to NAC in terms of pathological complete response.

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