Abstract Library

#4648 Analysis of presentation and outcomes of mixed adenoneuroendocrine carcinoma (MANEC) – A single centre experience

Introduction: Mixed adenoneuroendocrine carcinoma (MANEC) is a rare neoplasm characterised by the coexistence of both adenocarcinoma and neuroendocrine carcinoma components. Due to its rarity, limited data exist regarding its clinical presentation, treatment strategies, and outcomes. This study provides an analysis of MANEC cases from a single centre, providing insights into its clinical features, diagnostic challenges, treatment strategies, and prognosis.

Conference:

Presenting Author: Khosla D

Authors: Khosla D, Kapoor R, Mehta A, Gupta R, Singh H,

Keywords: MANEC, mixed adenoneuroendocrine carcinoma, treatment,

#4646 Dysregulated miRNA in patients with GEP-NEN and potential role as circulating biomarker

Introduction: Neuroendocrine neoplasms (NENs) are a class of rare and molecularly extremely heterogeneous tumours. NENs arise predominantly in the gastrointestinal (GEP) and pulmonary tracts but can also involve thyroid and breast. NENs often present with non-specific symptoms and lack early specific biomarkers, leading to frequent metastatic diagnoses and primary site challenges.

Conference:

Presenting Author:

Authors: Di Mauro A, Clemente O, Cannella L, Della Vittoria G, Neri G,

Keywords: neuroendocrine tumour, miRNome profiling, biomarker, gep-net, molecular biology,

#4592 Uncovering cell-state heterogeneity in large-cell panNEC indicates potentially targetable aberrant brain type neuronal de-differentiation

Introduction: Classification and treatment of high-grade pancreatic neuroendocrine carcinoma (panNEC), particularly those with large-cell morphology, present significant clinical challenges due to considerable inter- and intra-patient tumour heterogeneity.

Conference:

Presenting Author: Debnath O

Authors: Debnath O, Berger H, Detjen K, Kirchner P, Marinoni I,

Keywords: pancreatic neuroendocrine carcinoma, single cell, personalised medicine,

#4586 Base on neuroendocrine tumour classification in CT imaging using pretrained vision transformers and data augmentation

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,

#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,