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Abstract #3692

Differentiation of benign and malignant breast lesions using diffusion-weighted imaging with a fractional order calculus model

Guanying Wang1, Xingjun Gao1, Jianhong Li1, Dan Yang1, Dongmei Wu2, Yunfei Zhang3, Yongming Dai3, and Chunhong Wang3
1Department of Radiology, Xinyang Central Hospital, Xinyang, China, 2East China Normal University, Shanghai, China, 3Central Research Institute, United Imaging Healthcare, Shanghai, China


Diffusion-weighted imaging (DWI) is a powerful tool for cancer imaging. Many advanced DWI techniques have been developed and applied during clinical practice. Since fractional order calculus (FROC) model was proposed, it has shown huge clinical potential for cancer diagnosis, prognostic prediction and so on. However, scarcely has the FROC-DWI been utilized for breast imaging. The purpose of this study is to demonstrate that a new set of parameters (D, β and μ) from a fractional order calculus (FROC) diffusion model can be used to improve the accuracy of differentiating among benign and malignant breast lesions. Results suggested it’s feasible to use FROC diffusion model to improve the differentiation between benign and malignant breast lesions.

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