DTI quantitative parameter texture features for differentiating solid pseudopapillary neoplasm from pancreatic neuroendocrine tumors
Yi Wang1, Xinqi Wang2, Lu Wang2, Lizhi Xie3, Qinhe Zhang4, and Ailian Liu4
1Department of Radiology, Dalian Friendship Hospital, Dalian, China, 2School of Medical Imaging, Dalian Medical University, Dalian, China, 3GE Healthcare, MR Research China, Beijing, China, 4Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China
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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