Abstract Library

#4523 Preoperative evaluation of tumour border using radiomics and its surgical guidance in pancreatic neuroendocrine tumours

Introduction: Pancreatic neuroendocrine tumours are a heterogeneous group of tumours originating from peptidergic neurons and neuroendocrine cells with variable survival outcomes. Surgical resection is the mainstay of treatment. However, there is an ambiguous insight into the real need to execute the standard surgery in small pancreatic neuroendocrine tumours. The tumour border is a powerful determinant of survival prognosis in many tumours and is often used as a safety guarantee for parenchyma-sparing resections. However, there are no studies evaluating tumour border with or without preoperative imaging in pNETs.

Conference:

Presenting Author: Wang Y

Authors: Wang Y, Gu W, Tang W, Huang D, Zhang W,

Keywords: pancreatic neuroendocrine tumour, border, computed tomography, enucleation, radiomics,

#4127 A CT-based radiomics and deep learning signature for evaluating the somatostatin receptor 2 in non-functional pancreatic neuroendocrine tumors: A multicohort, retrospective study

Introduction: The diagnosis and treatment of Non-functional Pancreatic Neuroendocrine Tumor (NF-panNET) with unlabeled or labeled somatostatin analogues necessitate high expression of the somatostatin receptor subtype 2 (SSTR2), typically identified using PET or SPECT imaging. However, the application of PET or SPECT imaging is limited due to its low spatial resolution and unavailability in all units.

Conference:

Presenting Author:

Authors: Tang W, Wenchao G, Yinli C, Jie C,

Keywords: Non-functional Pancreatic Neuroendocrine Tumor, SSTR2, Radiomics, Deep-learning, CT,

#3911 Development and validation of CT-based radiomics deep learning signatures to preoperatively predict lymph node metastasis in non-functional pancreatic neuroendocrine tumor: A multi-cohort study

Introduction: Lymph node status is an important factor for the patients with non-functional pancreatic neuroendocrine tumors (NF-PanNETs) with respect to surgical methods, prognosis, recurrence.

Conference:

Presenting Author: Tang W

Authors: Tang W, Chen J, Gu W,

Keywords: Non-functional pancreatic neuroendocrine tumor, Radiomics, Deep learning, Lymph node metastasis,

#3621 Comparison of radiomics and deep learning signature for the lymph node metastasis detection in pancreatic neuroendocrine tumor

Introduction: PNETs is rare pancreatic tumors and the accuracy of diagnostic for lymph node metastasis (LNM) is low. Therefore, the quantification of the radiomics and deep learning features (DLF) may help to elevate the accuracy of detection the LNM.

Conference:

Presenting Author: Tang W

Authors: Tang W, Gu W, Chen J,

Keywords: Pancreatic neuroendocrine tumor, lymph node metastasis, radiomics, deep learning features, Multislice computer tomography (MSCT),