Pancreatic neuroendocrine tumor: prediction of the tumor grade using CT findings and computerized texture analysis.

@article{Choi2018PancreaticNT,
  title={Pancreatic neuroendocrine tumor: prediction of the tumor grade using CT findings and computerized texture analysis.},
  author={Tae Won Choi and Jung Hoon Kim and Mi Hye Yu and Sang Joon Park and Joon Koo Han},
  journal={Acta radiologica},
  year={2018},
  volume={59 4},
  pages={
          383-392
        }
}
Background Pancreatic neuroendocrine tumors (PNET) include heterogeneous tumors with a variable degree of inherent biologic aggressiveness represented by the histopathologic grade. Although several studies investigated the computed tomography (CT) characteristics which can predict the histopathologic grade of PNET, accurate prediction of the PNET grade by CT examination alone is still limited. Purpose To investigate the important CT findings and CT texture variables for prediction of grade of… CONTINUE READING

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