Abstract #0716

Various parameters derived from mono-exponential DWI, IVIM, SEM, DKI and CTRW in breast cancer diagnosis and the prediction of prognostic factors

Yanjin Qin¹, Yunfei Zhang², Yongming Dai², and Tao Ai¹

¹Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, ²MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China

Synopsis

Keywords: Breast, CancerIn the present study, we compared the potential of various diffusion parameters derived from five models in distinguishing breast lesions, including the mono-exponential model (Mono), intravoxel incoherent motion (IVIM) model, diffusion kurtosis imaging (DKI) model, stretched exponential model (SEM), and continuous-time random-walk (CTRW) mode. We found that diffusion-related parameters by the SEM and CTRW models are superior to ADC in discriminating breast lesions. Multiple diffusion parameters by all five diffusion models are related while the information provided is diverse.

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