Abstract Library

Welcome to the open-access search for all ENETS abstracts presented at the Annual ENETS Conferences.

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ENETS Abstract Search

#4379 Fully automated segmentation and lymph node metastasis prediction of non-functional pancreatic neuroendocrine tumours using deep learning

Introduction: Lymph node status is an important factor for the patients with NF-PanNETs with respect to surgical methods, prognosis, and recurrence. Our model serves as a non-invasive tool that supports clinical decision-making for precision surgical treatment in patients with NF-PanNETs.

Conference:

Presenting Author: Tang W

Authors: Tang W, Chen J,

Keywords: Non-functional pancreatic neuroendocrine tumour, deep learning, fully automated segmentation, imaging Informatics,

#4236 Do metastatic appendiceal NETs ever develop metachronously after appendectomy or right hemicolectomy?

Introduction: Appendiceal NETs are typically detected incidentally during appendectomy. A recent study reported no cases of metachronous metastases among patients (pts) with primary tumors

Conference:

Presenting Author: Al-Toubah T

Authors: Al-Toubah T, Haider M, Strosberg J,

Keywords: appendiceal net, appendix net, neuroendocrine tumor, right hemicolectomy, appendectomy,

#3911 Development and validation of CT-based radiomics deep learning signatures to preoperatively predict lymph node metastasis in non-functional pancreatic neuroendocrine tumor: A multi-cohort study

Introduction: Lymph node status is an important factor for the patients with non-functional pancreatic neuroendocrine tumors (NF-PanNETs) with respect to surgical methods, prognosis, recurrence.

Conference:

Presenting Author: Tang W

Authors: Tang W, Chen J, Gu W,

Keywords: Non-functional pancreatic neuroendocrine tumor, Radiomics, Deep learning, Lymph node metastasis,

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

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.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author:

Authors: Heidsma C, Van Dieren S, Gill A, Engelsman A, Strobel O,

Keywords: Prediction model, recurrence, pancreatic neuroendocrine,

#2957 New Evidence of Emerging Nodal Metastasis in Staging System after Surgical pNET Resection as Predictive Factor for Recurrence. Result from Monocentric Retrospective Series

Introduction: New evidence is emerging of the role of pNETs lymphatic metastasis in terms of Oncological Outcomes. A specific staging classification is not actually available.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author: Mastrangelo l

Authors: Mastrangelo L, Romboli A, Masetti M, Zanello M, Cipressi C,

Keywords: lymph node status, neuroendocrine tumor, pancreas, prognosis, surgery,