Abstract Library

#4280 Predictive and prognostic nomogram models for liver metastasis in colorectal neuroendocrine neoplasms: A large population study

Introduction: The incidence of patients with colorectal neuroendocrine neoplasms (CRNENs) is continuously increasing. Most patients have distant metastases when diagnosed. Liver metastasis (LM) is the most common type of distant metastasis, and the prognosis is poor once LM occurs. However, there is still a lack of effective models for predicting the risk and prognosis of LM in CRNENs.

Conference:

Presenting Author: Song L

Authors: Lei X, Su Y, Lei R, Zhang D, Liu Z,

Keywords: colorectal neuroendocrine neoplasm, liver metastasis, overall survival, nomogram, SEER, prognostic factor, risk factor,

#4217 Prediction of recurrence for grade 1-2 small bowel neuroendocrine neoplasms after curative-intended resection

Introduction: In patients with grade 1 to 2 small bowel neuroendocrine neoplasms (SB-NEN) reccurrence rates are reported up to 50%. No prediction tools exist yet to identify patients at high-risk for recurrence in SB-NENs.

Conference:

Presenting Author:

Authors: Erdmann F, Addeo P, Falconi M, Hennings J, Makay �,

Keywords: small bowel neuroendocrine neoplasm, recurrence, nomogram,

#4038 Identification of gastroenteropancreatic neuroendocrine tumor with high liver tumor burden based on clinicopathological features

Introduction: Liver tumor burden (LTB) is a key prognostic factor affecting survival and treatment response of GEP-NET patients. Currently available quantitative assessment of LTB relies on 68Ga-SSA PET/CT scan which is not accessible in some centers.

Conference:

Presenting Author: Chen L

Authors: Jumai N, Chen L, He Q, Liu M, Wen W,

Keywords: liver tumor burden, prediction, neuroendocrine tumor,

#4000 Prediction of survival for patients with neuroendocrine neoplasms (NENs) using multivariable cox regression and survival nomograms: Data from National Cancer Registration and Analysis Service (NCRAS, UK) Database

Introduction: Multiple nomograms for predicting survival of NENs from surveillance, epidemiology, and end results (SEER) database have been published. To the best of our knowledge, no survival nomogram has been published from NCRAS database

Conference:

Presenting Author:

Authors: Mortagy M, El Asmar M, Chandrakumaran K, Ramage J,

Keywords: SEER, NCRAS, Nomogram, Survival analysis, Cox regression, Interactive web application, neuroendocrine neoplasm,

#3984 The contribution of functional imaging in predicting the risk of recurrence after pancreatic surgery for neuroendocrine tumors

Introduction: Pancreatic neuroendocrine tumors (pNETs) are rare and heterogeneous, comprising 1 to 3% of all pancreatic neoplasms. The recurrence rate of non-metastatic pNETs varies, reaching up to 50% depending on the series, highlighting the difficulty in selecting candidates for surgery. However, there is no published data regarding the prognostic value of functional PET imaging combined with clinical and pathological characteristics.

Conference:

Presenting Author:

Authors: Pencréac'h S, de Mestier L, Fuks D, Paye F, de Ponthaud C,

Keywords: pNET, PET-68Ga-DOTATOC, recurrence, pancreatic surgery,