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

#4670 The efficacy of first-line combination therapy with everolimus plus lanreotide for gastroenteropancreatic neuroendocrine tumour with a poor prognostic factor: Updated and subgroup analysis of the phase III study, STARTER-NET (JCOG1901)

Introduction: Everolimus monotherapy provided a limited median progression-free survival (PFS) for gastroenteropancreatic neuroendocrine tumours (GEP-NETs), there remains a necessity for better therapeutic approaches.

Conference:

Presenting Author:

Authors: Hijioka S, Honma Y, Machida N, Mizuno N, Hamaguchi T,

Keywords: everolimus, lanreotide, PFS, RCT,

#4667 Clinical outcomes in patients with typical (TC) and atypical bronchial carcinoids (AC): A 15-year retrospective study from an ENETS Center of Excellence

Introduction: Bronchial neuroendocrine neoplasms (NENs) can be subdivided into TCs, ACs and neuroendocrine carcinomas (NECs). Although a few studies have explored treatment approaches and oncological outcomes, most focus on surgical cohorts, small sample sizes, or mixed groups including TC, AC, and NECs. Real-life cohort data are lacking.

Conference:

Presenting Author: Clement D

Authors: Correia J, Sarker D, Dolly S, Frydman A, Srirajaskanthan R,

Keywords: bronchial carcinoid, treatment pattern, recurrence-free survival, overall survival,

#4600 Artificial intelligence in predicting neuroendocrine tumour (NET) outcomes: A model-based prognostic approach

Introduction: Neuroendocrine tumours (NETs) vary widely in clinical behaviour, complicating prognosis. Traditional models often struggle with accuracy due to the complexity of NETs. Artificial intelligence (AI) offers tools for enhanced prognostic precision by analysing complex datasets. This study explores an AI-driven approach to predict outcomes in NET patients at Cantonment General Hospital, Pakistan.

Conference:

Presenting Author: Fatima A

Authors: Fatima A,

Keywords: artificial intelligence, machine learning, Precision medicine, Personalised treatment,

#4589 Clinical efficacy of RLT to assess OS and PFS using 177Lu DOTATATE, 90Y DOTATATE, and a mixture of both in patients with advanced, unresectable, progressive rectal NET – A retrospective analysis

Introduction: Retrospective, single-arm, open-label, case series study evaluating the efficacy of different types of radioligand therapy (RLT): 177Lu, 90Y DOTATATE, or mix of both used in advanced, unresectable progressive rectal NETG1/G2.

Conference:

Presenting Author: Ćwikła J

Authors: Kolasińska-Ćwikla A, Sankowski A, Pałucki J, Sekelcka N, Ćwikła J,

Keywords: Rectal Neuroendocrine Tumour, SST Receptor, Radioligand Therapy (RLT),

#4541 Prognosis analysis of metastatic rectal neuroendocrine tumour: Liver-directed trans arterial embolisation may play a pivotal role

Introduction: Rectal neuroendocrine tumour (rNET) is prone to metastasis, and distant metastasis is associated with worse prognosis. However, factors influencing the prognosis of metastatic rNET and the recommended treatments remain controversial.

Conference:

Presenting Author: Yang Y

Authors: Yang Y, Chen L, Liu M, Jiang Y, Lin Y,

Keywords: metastatic rectal neuroendocrine tumour, liver metastasis, trans arterial embolisation, inverse probability of treatment weighting, overall survival,