This work aimed for diffusion tensor imaging (DTI) quantitative parameter texture features based strategy to identify solid pseudopapillary neoplasm(SPN)and pancreatic neuroendocrine tumors(PNET),which may represent a diagnostic challenge due to many overlapping MRI features. The results showed that Large Area Emphasis (AUC: 0.737, sensitivity: 64.7%, specificity: 80%on FA signal intensity) was the optimal strategy to identify SPN and PNET.
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