Abstract Library

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

Everyone can browse the library to find basic information on abstracts. To get full access to each entry, you will be asked to log in to your myENETS account.

 

Please note:

Participants of the 2025 ENETS Conference enjoy full access to the 2025 conference digital resources through myENETS: the abstract booklet, e-posters and videos, slide decks of talks, the poster carousel, and more.

ENETS Abstract Search

#3983 Identification of new biomarkers associated with prognosis of pancreatic neuroendocrine neoplasms and establishment of survival prediction model

Introduction: The Pan-NENs show high heterogeneity, and traditional classification cannot accurately predict tumor biological behavior and patient prognosis.

Conference:

Presenting Author: Yanling X

Authors: Yanling X, Pin Y, Mujie Y, Jianan B, Danyang G,

Keywords: pancreatic neuroendocrine neoplasm, biomarker, nomogram,

#3981 Identifying patients with undiagnosed small intestinal neuroendocrine tumors using statistical and machine learning: Model development and validation study

Introduction: Diagnosis of small intestinal neuroendocrine tumors (SI-NETs) is often delayed due to non-specific symptoms and lack of awareness among primary and secondary care physicians. Earlier diagnosis may lead to improved clinical and patient outcomes. Clinical prediction models using machine learning could present novel opportunities for expedited diagnosis in primary care.

Conference:

Presenting Author:

Authors: Clift A, Mahon H, Khan G, Boardman-Pretty F, Worker A,

Keywords: machine learning, artificial intelligence, diagnosis, neuroendocrine tumor,

#3484 A systematic review of clinical prediction models for recurrence in patients with resectable grade 1 and 2 non-functional pancreatic neuroendocrine tumors

Introduction: The survival of patients with non-functional pancreatic neuroendocrine tumors (NF-pNET) is significantly impacted by recurrence. Accurate risk-stratification to identify patients at risk for recurrence can help tailor follow-up but may also reduce follow-up in patients with a low recurrence risk.

Conference:

Presenting Author: Chen J

Authors: Chen J, Heidsma C, Kabaktepe E, van Dieren S, Besselink M,

Keywords: pancreatic, neuroendocrine, tumor, non-functional, prediction, model, systematic, review, recurrence,

#3431 Development and validation of a nomogram to predict survival of colorectal mixed neuroendocrine–non-neuroendocrine neoplasm

Introduction: Colorectal mixed neuroendocrine–non-neuroendocrine neoplasm(MiNENs) are rare tumors that lack a prognostic prediction model.

Conference:

Presenting Author: Chen J

Authors: Chen J, Chen Q, Zhou J, Zhao H,

Keywords: Mixed neuroendocrine–non-neuroendocrine neoplasm, Nomogram, Survival, SEER, Colorectum,

#3350 Development and validation of prognostic nomograms for patients with periampullary neuroendocrine neoplasms

Introduction: Periampullary neuroendocrine neoplasms (NENs) are rare tumors that lack a prognostic prediction model.

Conference:

Presenting Author: Chen J

Authors: Chen J, Chen Q, Zhou J, Zhao H,

Keywords: periampullary neuroendocrine neoplasm, prognosis, nomogram, SEER,