Abstract Library

#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,

#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,

#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,

#4495 Clinicopathologic characteristics and prognostic analysis of rectal neuroendocrine tumours: A multicentre clinical study

Introduction: The incidence of rectal neuroendocrine tumours (R-NETs) has increased significantly in recent years.

Conference:

Presenting Author: Lian J

Authors: Lian J, Xing W, Lu H,

Keywords: Rectal Neuroendocrine Tumour, clinical data, real-world, CgA, progression-free survival,

#4428 Tumour-derived apolipoprotein E drives temozolomide chemoresistance by reprogramming lipid metabolism and activating the homologous recombination repair pathway in pancreatic neuroendocrine tumours

Introduction: Temozolomide (TMZ) is a first-class clinical drug for patients with pancreatic neuroendocrine tumours (pNETs). However, the therapeutic effects of TMZ are limited because of the chemoresistance of pNET cells.

Conference:

Presenting Author: Ji S

Authors: Lou X, Ji S, Xu X, Chen J, Yu X,

Keywords: Temozolomide, pancreatic neuroendocrine tumour, chemoresistance,