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Prediction of pancreatic neuroendocrine tumor grade based on CT features and texture analysis

American Journal of Roentgenology Nov 20, 2017

Canellas R, et al. - This study was planned to assess if CT texture analysis and CT features are predictive of pancreatic neuroendocrine tumor (PNET) grade based on the World Health Organization (WHO) classification and to identify features related to disease progression after surgery. Findings revealed that PNET aggressiveness could be predicted with CT texture analysis and CT features, this suggests their utility in identifying patients at risk of early disease progression after surgical resection.
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