International Validation of a Nomogram to Predict Recurrence after Resection of Grade 1 and 2 Pancreatic Neuroendocrine Tumors Abstract #3010

Introduction: A prediction model to predict recurrence within 5 years after surgery for nonfunctional pancreatic neuroendocrine tumors (PanNets) was recently published. This model includes WHO tumor grade, lymph node status and perineural invasion as predictors.
Aim(s): The aim of this study was to externally validate the prediction model in an international cohort.
Materials and methods: All patients who underwent any type of pancreatic resection for a nonfunctional WHO grade 1 or 2 PanNet without distant metastases at the time of surgery, between 1992-2018 at 7 tertiary centers, were included. Model performance was evaluated by validation plots, Hosmer-Lemeshow goodness of fit, Harrel’s C-statistic and area under the curve (AUC) of the receiver operating characteristics (ROC-) curve for 5-year recurrence-free survival (RFS). Validation followed the TRIPOD statement.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Surgical treatment and Ablative Therapies
Presenting Author: drs Charlotte Heidsma

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