Tumor cells and the complex micro-environment would lead to restricted the water molecules diffusion, in the form of non-Gaussian distribution at space, and diffusion kurtosis imaging (DKI)(1) describes the degree of non-Gaussian distribution, and it has shown to reflect more sensitive diffusion information comparing with regular diffusion weighted image(DWI)(2). It was reported that DKI helped to classify tumors like astrocytomas (3). However, there is challenges on the DKI application mostly due to low SNR in pancreas diffusion images and motion artifacts. pancreatic cancer is a malignant pancreatic tumor,and the recent prognosis of patients with pancreatic cancer is determined by the histopathological grade of tumor. Herein, we reported the investigation on applying DKI to differentiate the histological grade of pancreatic cancer.,by assessing DKI parameters.