Abstract Library

#2995 Prediction of Symptomatic Mesenteric Mass in Patients with Small Intestinal Neuroendocrine Tumors Using a CT Radiomics Approach

Introduction: A mesenteric mass surrounded by fibrosis is a hallmark feature of small intestinal neuroendocrine tumors (SI-NETs) that can induce severe abdominal complications. To improve clinical outcome, there is a need for personalized treatment strategies based on accurate prediction of development of abdominal complications.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author: Blazevic A

Authors: Blazevic A, Starman M, Brabander T, Hofland J, Franssen G,

Keywords: Small-intestinal neuroendocrine tumors, mesenteric mass, mesenteric fibrosis, radiomics, CT scan,

#2992 The PanNENomics Project: A Call for an International Collaborative Effort Built on the Success of the LungNENomics Project

Introduction: Neuroendocrine tumors are rare understudied diseases at the molecular level, especially those occurring in sites outside the lung and the gastrointestinal track. This lack of knowledge has strong implications for the clinical management of these diseases (Rindi et al. Mad Pathol 2018).

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author: Fernandez-Cuesta L

Authors: Fernandez-Cuesta L, Foll M, Walter T, Girard N, Lantuejoul S,

Keywords: Rare Cancers genomics, lungNENomics, panNENomics, supra-carcinoids, tumor maps,

#2846 Whole Genome DNA Methylation Profiling Identifies Neuroendocrine Tumor Origin

Introduction: Determining the origin of a neuroendocrine tumor (NET) of unknown primary can be challenging. Liver metastases can originate from any organ in the body, while pulmonary NETs can be metastases but also primary tumors. This especially holds true for Multiple Endocrine Neoplasia Type 1 patients, who often have multiple primary pancreatic and intestinal NETs. It is important to know the origin of the primary tumor since resection or ablation is crucial in case of treatment with curative intent. Furthermore, the site of origin determines prognosis, treatment options and eligibility for clinical trials.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author:

Authors: Hackeng W, Geisenberger C, de Leng W, Morsink F, Vriens M,

Keywords: Methylation profiling, Neuroendocrine tumor, Machine Learning, Unknown Primary,

#2783 Use of Plasma Proteins to Predict Progressive Disease in Patients with Small Intestinal Neuroendocrine Tumours

Introduction: Prediction of progression in small intestinal neuroendocrine tumors (SI-NET).

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author: Belusa R

Authors: Knigge U, Kjellman M, Grønbæk H, Thiis-Evensen E, Schalin-Jäntti C,

Keywords: prediction, progression, machine learning, SI-NET, serum protein,