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,

#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,

#4252 Intra-arterial Peptide Receptor Radionuclide Therapy in a Filipino male with predominantly hepatic metastasis in a known primary pancreatic neuroendocrine tumor

Introduction: Peptide Receptor Radionuclide Therapy (PRRT) has shown positive clinical outcomes in somatostatin receptor (SSTR) overexpressing positive well-differentiated neuroendocrine tumors in combination with somatostatin analogue therapy. A noted decreased progression-free survivability in the use of PRRT has been noted in larger lesions (>3cm).

Conference:

Presenting Author: Azarraga C

Authors: Azarraga C, Leogardo D, Bandong I, Bautista-Peñalosa P,

Keywords: neuroendocrine, PRRT, intra-arterial, bulky,