Abstract library

18 results for "machine learning".
#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 ENETS Conference 2020 (2020)
Category: Biomarkers
Presenting Author: MD PhD Roger Belusa
#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 ENETS Conference 2020 (2020)
Category: Basic Science - Genetics, epigenetics, miRNAs, Omics
Presenting Author: Wenzel M Hackeng
#3053 The Splicing Machinery Is Dysregulated in Low Grade Pulmonary Neuroendocrine Tumors
Introduction: Alternative splicing dysregulation is increasingly regarded as a novel cancer hallmark influencing all key tumor features. We have shown that neuroendocrine tumors (NETs) overexpress aberrantly spliced variants of neuropeptides and receptors that increase tumor malignancy. More recently, we discovered that the splicing machinery is dysregulated in pituitary and pancreatic NETs. To date, the status of this machinery in low grade pulmonary NETs is largely unknown.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Basic Science - Genetics, epigenetics, miRNAs, Omics
Presenting Author: Ricardo Blázquez-Encinas
#1463 Graph-Theoretic Definition of Neuroendocrine Disease – A Tumor Specific Mathematical Toolbox for Assessing Neoplastic Behaviour
Introduction: Widespread availability of high throughput screens has led to the rapid adaptation of mathematics in biomedicine.
Conference: 13th Annual ENETS conference 2016 (2016)
Category: Biomarkers
Presenting Author: Professor Mark Kidd
Authors: Drozdov I, Kidd M, Modlin I, ...
#1694 Plasma Protein Fingerprinting for the Diagnosis of Small Intestinal Neuroendocrine Tumors (siNETs)
Introduction: siNETs are notoriously difficult to diagnose, especially in an early stage.
Conference: 14th Annual ENETS conference 2017 (2017)
Category: Biomarkers
Presenting Author: MD PhD Magnus Kjellman
#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 ENETS Conference 2020 (2020)
Category: Basic Science - Genetics, epigenetics, miRNAs, Omics
Presenting Author: PhD Lynnette Fernandez-Cuesta
#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 ENETS Conference 2020 (2020)
Category: Imaging and Interventions (radiology, endoscopy)
Presenting Author: Drs. Anela Blazevic
#963 From E.L.I.O.S. (Educational Learning Investigational Observational Study) an Initial Update on Neuroendocrine Tumors (NETs) in the Southern Italy
Introduction: Elios is an Educational Learning Investigational Observational Study.
Conference: 11th Annual ENETS Conference 2014 (2014)
Category: Epidemiology/Natural history/Prognosis - Descriptive epidemiology
Presenting Author: MD Salvatore Tafuto
#1000 E.L.I.O.S. (Educational Learning Investigational Observational Study): An Initial Update on Neuroendocrine Tumors (NETs) in the Southern Italy
Introduction: Elios is an Educational Learning Investigational Observational Study.
Conference: 11th Annual ENETS Conference 2014 (2014)
Category: Epidemiology/Natural history/Prognosis - Descriptive epidemiology
Presenting Author: MD Salvatore Tafuto
#972 Anti-Tumor Efficacy of Somatostatin Analogues (SSAs) in Patients with Neuroendocrine Tumors (NETs) According to Ki-67 Score: A Multicentric Study From ELIOS (Educational Learning Investigational Observational Study)
Introduction: SSAs have been demonstrated to have antiproliferative effects in ileal NETs. The 2010 WHO NET classification provides a grading score which can be helpful in predicting tumor response to SSA.
Conference: 11th Annual ENETS Conference 2014 (2014)
Category: Medical treatment - SMS analogues, interferon
Presenting Author: Antongiulio Faggiano
Keywords: NET, SSA, G1, G2, WHO classification