Abstract Library

#4613 Correlation of serum cytokeratin 18, ferritin, cancer antigen 125, and beta-2 microglobulin with tumour grade and stage in pancreatic neuroendocrine tumours

Introduction: Pancreatic neuroendocrine neoplasms (PNENs) remain challenging to diagnose, with limited reliable serum biomarkers available for early detection and prognostication.

Conference:

Presenting Author: Janas K

Authors: Janas K, Rosiek V, Kos-Kudła B,

Keywords: NEN, biomarker, analysis, diagnostic, pancreatic tumour,

#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,

#4537 The usefulness of circulating fibrosis markers in detection of carcinoid heart disease

Introduction: Carcinoid heart disease (CHD) is a potential serious fibrotic complication in patients with neuroendocrine neoplasms (NENs), affecting the heart valves. Early detection is crucial to avoid severe manifestations. NT-proBNP is suggested as an initial screening tool in detection of CHD; however, the value of NT-proBNP as a screening tool is questionable.

Conference:

Presenting Author: Lau T

Authors: Lau T, Angeli E, Oksjoki R, Rasmussen V, Genovese F,

Keywords: carcinoid heart disease, biomarker, fibrosis marker,

#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,

#4382 Sensitivity of endoscopic ultrasound in detecting small gastrointestinal neuroendocrine tumours

Introduction: Small gastrointestinal neuroendocrine tumours (GI-NETs) are often difficult to detect using conventional imaging modalities, leading to delayed diagnosis and suboptimal treatment outcomes. Endoscopic ultrasound (EUS) has emerged as a promising tool for the early detection and precise localisation of these tumours. However, its sensitivity in identifying small lesions remains to be thoroughly evaluated.

Conference:

Presenting Author:

Authors: Xu L, Ye M, Xue B, Tang Q,

Keywords: Endoscopic ultrasound, small gastrointestinal neuroendocrine tumour, early detection, imaging modalities,