Abstract Library

#4520 Is late diagnosis and carcinoid heart disease (CaHD) associated with deprivation index? – An audit of practice and assessment of deprivation index in Sheffield ENETS Centre of Excellence

Introduction: Delays to diagnosis in neuroendocrine neoplasms is a world-wide problem. Challenges and inequities recognised include low awareness and access to expert centres. Indices of multiple deprivation (IMD) assess the least to the most deprived areas in the UK, 1 being the most deprived of the 10 deciles.

Conference:

Presenting Author: Munir A

Authors: Abdella O, Abdelhaleem E, Kwok W, Harber J, Rowett O,

Keywords: Index of multiple deprivation, carcinoid syndrome, carcinoid heart disease,

#4400 Analysis of clinicopathologic features and prognosis of 8096 patients with gastric neuroendocrine neoplasms

Introduction: Gastric neuroendocrine neoplasms (G-NENs), as rare tumours, continue to increase in morbidity and mortality. The specificity of the clinical features of G-NENs has led to a lack of awareness of this disease.

Conference:

Presenting Author:

Authors: Han D, Du H,

Keywords: Gastric neuroendocrine neoplasm, Clinicopathologic features, Prognosis,

#4071 Hospital record data on the clinical presentation and diagnostic investigations of small intestinal neuroendocrine tumors (SI-NETs)

Introduction: The diagnosis of small intestinal neuroendocrine tumors(SI-NETs) is often delayed due to non-specific symptoms, difficulty imaging, and lack of awareness.

Conference:

Presenting Author: Gould H

Authors: Gould H, Kapish A, Karategos T, Abbas S, Olive S,

Keywords: small intestinal neuroendocrine tumor, investigation, Colonoscopy, CT, presentation, symptoms, Diagnosis,

#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,

#3791 Trends in neuroendocrine-related searches on Google – How famous cases impact on interest of general population

Introduction: General population interest in neuroendocrine tumors (NET) is influenced by mass-media news and awareness campaigns by advocacy and medical groups. Cases of NET in famous people greatly impact conversations about this disease.

Conference:

Presenting Author:

Authors: Hernando Cubero J, Garcia Alvarez A, Roca-Herrera M, Carmona Alonso A, Garcia Burillo A,

Keywords: Google, Trends, Famous,