Abstract #0938

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

Synopsis

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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