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

#4577 Diagnosis of a cervical carotid paraganglioma: A case report and review of diagnostic imaging approaches

Introduction: Cervical paragangliomas are rare, often non-secreting tumours of neuroectodermal origin. Their diagnosis can be challenging due to the variability of clinical presentations and the diagnostic tests required.

Conference:

Presenting Author: Otmane R

Authors: Otmane R, Boudersa A, Kouadri N,

Keywords: Paraganglioma, cervical, octreoscan,

#4554 Base on deep learning-integrated multimodal diagnostic framework for enhanced early detection of neuroendocrine tumours

Introduction: Neuroendocrine tumours (NETs) are a heterogeneous group of malignant neoplasms originating from neuroendocrine cells, commonly found in the digestive system, lungs, pancreas, and other organs. Due to their diverse clinical presentations and overlap with common diseases, the early diagnosis of NETs is challenging, often leading to misdiagnosis or delayed diagnosis at advanced stages.

Conference:

Presenting Author:

Authors: Ding Z, Li H, Tang Z, Chen Y, Li H,

Keywords: Neuroendocrine Tumour, Early Disease Screening, Multimodal Medical Data Analysis,

#4551 Characterisation and management of neuroendocrine tumours: Findings from a prospective study in Algeria

Introduction: Gastrointestinal neuroendocrine tumours are characterised by varied clinical presentations and behaviours. Their increasing incidence highlights the need for better understanding and management strategies.

Conference:

Presenting Author:

Authors: Zerrouk D, Boukerzaza I, Laouar N, Kassama Z, Mansouri F,

Keywords: Neuroendocrine neoplasm, Observational Study, Treatment Outcomes,

#4512 A deep learning-integrated multimodal diagnostic framework for enhanced early detection of neuroendocrine tumours

Introduction: Neuroendocrine tumours (NETs) are a heterogeneous group of malignant neoplasms originating from neuroendocrine cells, commonly found in the digestive system, lungs, pancreas, and other organs. Due to their diverse clinical presentations and overlap with common diseases, the early diagnosis of NETs is challenging, often leading to misdiagnosis or delayed diagnosis at advanced stages. While current imaging techniques and biomarkers are useful in certain cases, their diagnostic sensitivity and specificity remain limited when used in isolation.

Conference:

Presenting Author:

Authors: Ding Z, Li H, Tang Z, Chen Y, Li H,

Keywords: Neuroendocrine Tumour, Multimodal Diagnostic algorithm, Deep Learning, Early Disease Screening,

#4288 A virtual patient handbook

Introduction: Neuroendocrine cancer has lower public recognition than more common cancer types and when this is combined with geographical inequalities in neuroendocrine cancer care across the UK, patients can often find themselves reliant on online resources to educate themselves about the disease.

Conference:

Presenting Author:

Authors: Chesser B,

Keywords: patient handbook, digital resources, patient information, multi-media,