Prediction of pancreatic neuroendocrine tumour grade with MR imaging features: added value of diffusion-weighted imaging

@article{Lotfalizadeh2016PredictionOP,
  title={Prediction of pancreatic neuroendocrine tumour grade with MR imaging features: added value of diffusion-weighted imaging},
  author={Emad Lotfalizadeh and Maxime Ronot and Mathilde Wagner and J{\'e}r{\^o}me Cros and Anne Couvelard and Marie-pierre Vullierme and Wassim Allaham and Olivia Hentic and Philippe Ruzniewski and Val{\'e}rie Vilgrain},
  journal={European Radiology},
  year={2016},
  volume={27},
  pages={1748-1759}
}
AbstractObjectivesTo evaluate the value of MR imaging including diffusion-weighted imaging (DWI) for the grading of pancreatic neuroendocrine tumours (pNET).Material and MethodsBetween 2006 and 2014, all resected pNETs with preoperative MR imaging including DWI were included. Tumour grading was based on the 2010 WHO classification. MR imaging features included size, T1-w, and T2-w signal intensity, enhancement pattern, apparent (ADC) and true diffusion (D) coefficients.ResultsOne hundred and… CONTINUE READING
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