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Abstract #0945

Multi-parametric Diffusion-weighted Imaging Models: Useful Tools for Diagnosis and Prognosis in Breast Cancer?

Shiteng Suo1, Fang Cheng1, Jia Hua1, Qing Lu1, Lyu Li2, and Jianrong Xu1

1Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China, 2MR Clinical Science, Philips Healthcare, Greater China, Shanghai, People's Republic of China

Multi-parametric diffusion-weighted imaging (DWI) has shown potential in characterizing breast cancer. In this study, we for the first time evaluated the four common diffusion models in various breast lesions. Results showed that (1) optimal DWI signal attenuation behaviors differ between benign and malignant breast lesions (kurtosis model suited for benign and stretched-exponential model suited for malignant); (2) for predicting the malignancy of breast lesions, or the invasive nature of breast cancer, mono-exponential ADC is still the most preferred parameter; and (3) parameters based on non-mono-exponential DWI models may be more related with prognostic factors in invasive breast cancer.

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