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,

#4580 Improving diagnosis of neuroendocrine tumours using large language models

Introduction: Neuroendocrine tumours (NETs) are a heterogeneous group of cancers that can be difficult to diagnose due to their variable clinical presentation and non-specific symptoms. Accurate diagnosis often requires integrating a wide range of clinical, radiological, and pathological information. Large language models (LLMs) have shown promise in processing and understanding complex medical text, making them a valuable tool for improving diagnostic accuracy in oncology.

Conference:

Presenting Author:

Authors: Tang Z, Chen P, Tang J, Li H, Chen Y,

Keywords: Neuroendocrine Tumour (NET), Large Language Model (LLM), Medical Natural Language Processing (NLP), Clinical Decision Support,

#4563 Clinical case of a young woman with acromegaly, hyperprolactinemia and pituitary tumour with mixed morphology of adenoma and gangliocytoma

Introduction: Acromegaly is a rare disorder that develops due to persistent hypersecretion of somatotropic hormone in adults after closure of the growth plates. In the majority of cases, the cause is a pituitary adenoma.

Conference:

Presenting Author:

Authors: Markova M, Kirova I, Elenkova A, Robeva R, Zacharieva S,

Keywords: acromegaly, hyperprolactinemia, pituitary adenoma, gangliocytoma,

#4545 Analysis of the mutational landscape of pancreatic neuroendocrine tumours before and after temozolomide treatment

Introduction: Temozolomide (TMZ) is an alkylating agent and standard treatment for pancreatic neuroendocrine tumours (pNET). Resistance to TMZ may be acquired through inactivation of the mismatch repair system, leading to high tumour mutation burden (hTMB).

Conference:

Presenting Author: Trevisani E

Authors: Trevisani E, Borghesani M, Reni A, Agnoletto C, Luchini C,

Keywords: neuroendocrine, next generation sequencing, temozolomide, hypermutation, tumour mutational burden,

#4522 Leveraging large language models for enhanced diagnosis of neuroendocrine tumours

Introduction: Neuroendocrine tumours (NETs) are a heterogeneous group of cancers that are difficult to diagnose due to their variable clinical presentation and non-specific symptoms. Accurate diagnosis often requires integrating a wide range of clinical, radiological, and pathological information. However, clinicians may struggle to synthesise these diverse data sources effectively. Large language models (LLMs) have shown promise in processing and understanding complex medical text, making them a valuable tool for improving diagnostic accuracy in oncology.

Conference:

Presenting Author:

Authors: Tang Z, Tang J, Cheng F, Li H, Chen Y,

Keywords: Neuroendocrine Tumour (NET), Large Language Model (LLM), Medical Natural Language Processing (NLP), Clinical Decision Support,