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
Introduction: Somatostatin receptor 2 (SST2) is an established target for the treatment of NETs and potentially other solid tumours.
Conference:
Presenting Author:
Authors: Zhao J, Sturchler E, Yang B, Chen M, Tang Y,
Keywords: somatostatin, solid tumour, drug conjugate, internalisation, cytotoxicity,
#4599 Endosonography guided coloenterostomy for management of malignant small bowel ileus
Introduction: Small-bowel ileus (SBI) is often decisive for the prognosis in midgut neuroendocrine tumours (NET) and other peritoneally metastasised neoplasias. Conventional procedures of palliative care deliver unsatisfying results.
Conference:
Presenting Author: Weich A
Authors: Weich A, Retzbach L, Hartung V, Brand M, Kudlich T,
Keywords: Coloenterostomy, Endosonography, small bowel ileus, peritoneal carcinomatosis, midgut NET,
Introduction: Neuroendocrine tumours (NETs) are a group of cancers that can be difficult to distinguish from other malignancies in CT imaging. Their diverse appearance often leads to diagnostic challenges, requiring advanced techniques to improve classification accuracy. Pretrained Vision Transformers (ViTs) have shown promise in medical image analysis, but additional methods are needed to enhance model robustness, particularly when dealing with complex and heterogeneous tumour characteristics.
Conference:
Presenting Author:
Authors: Li H, Tang Z, Ding Z, Chen Y, Li H,
Keywords: Vision transformers, Cancer Detection, Transfer Learning, Medical Image Analysis,
Introduction: The continuous progress of comprehensive treatment enables neuroendocrine tumour liver metastasis (NENLM) that meets Milan criteria to achieve longer survival without liver transplantation (LT). LT often faces high tumour burden, while comprehensive treatment also brings new opportunities for recurrence.
Conference:
Presenting Author: Chen C
Authors: Chen C, Jiang W, Chen J, Liang Y, Xie Y,
Keywords: liver transplantation, neuroendocrine tumour liver metastasis, Milan Criteria, comprehensive treatment,
#4580 Improving diagnosis of neuroendocrine tumours using large language models
Introduction: Neuroendocrine tumours (NETs) are a heterogeneous group of cancers that can be difficult to diagnose due to their variable clinical presentation and non-specific symptoms. Accurate diagnosis often requires integrating a wide range of clinical, radiological, and pathological information. Large language models (LLMs) have shown promise in processing and understanding complex medical text, making them a valuable tool for improving diagnostic accuracy in oncology.
Conference:
Presenting Author:
Authors: Tang Z, Chen P, Tang J, Li H, Chen Y,
Keywords: Neuroendocrine Tumour (NET), Large Language Model (LLM), Medical Natural Language Processing (NLP), Clinical Decision Support,