Abstract #0139

A Hybrid DWI Approach for Simultaneous Assessment of Cellularity, Vascularity, and Heterogeneity of Breast Lesions

Muge Karaman^1,2, Yangyang Bu^3,4, Guangyu Dan^1,2, Zheng Zhong^1,2, Qingfei Luo¹, Shiwei Wang^3,4, Changyu Zhou^3,4, Weihong Hu^3,4, X. Joe Zhou^1,2,5, and Maosheng Xu^3,4

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, ³The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China, ⁴Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China, ⁵Departments of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States

Breast cancer is the second most common cancer among women. Breast tissue has a variety of structural features leading to different tissue properties which are collectively linked to the pathologic state of the breast lesions. In this study we demonstrate a hybrid DWI approach for simultaneous assessment of tissue cellularity, vascularity, and heterogeneity (DISMANTLE) based on intravoxel incoherent motion (IVIM) and continuous-time random walk (CTRW) diffusion models. Our results have shown that DISMANTLE improved the differentiation among benign and malignant breast lesions compared to the classical implementation of either IVIM or CTRW model.

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