Canellas R, et al. - In the current study, whether or not CT texture analysis and CT features were predictive factors for pancreatic neuroendocrine tumor (PNET) grade based on the World Health Organization (WHO) classification was determined. Additionally, the features associated with disease progression after surgery were determined. The findings revealed that CT features predictive of a more aggressive tumor (grades 2 and 3) were size larger than 2.0 cm, the presence of vascular involvement, the presence of pancreatic ductal dilatation, and the presence of lymphadenopathy. Furthermore, texture served as a predictive factor of more aggressive tumors. Therefore, CT texture analysis and CT features can assist in identifying patients at risk of early disease progression after surgical resection.