Abstract library

497 results for "Outcome prediction".
#2748 CT-Based Radiomics for Prediction of Outcome after Somatostatin Analogues in Patients with Liver Metastases of a Neuroendocrine Tumor: An Exploratory Study
Introduction: Response evaluation and prediction of outcome of a neuroendocrine tumor (NET) remains difficult.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Imaging and Interventions (radiology, endoscopy)
Presenting Author: Femke Staal
#2893 Prediction of Survival for Gastrointestinal Neuroendocrine Tumors: A Systematic Review of Clinical Tools
Introduction: Clinical prediction tools aggregate patient and disease information to predict outcomes. Little is known about gastrointestinal neuroendocrine tumors (GI-NET) prediction tools accuracy and utility.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Epidemiology/Natural history/Prognosis - Registries, nationwide and regional surveys
Presenting Author: Julie Hallet
Authors: Hallet J, Ho G, Beyfuss K, Chan D, ...
#363 Clinicopathological characteristics are capable of predicting long-term outcome of gastrointestinal neuroendocrine tumours in Germany
Introduction: Neuroendocrine tumours (NET) are a rare and heterogeneous group of neoplasm. Throughout the last decades the classification of NET has been both difficult and incoherent. Therefore making prognostic straticifation often difficult.
Conference:
Category: Basic
Presenting Author: Sebastian Maasberg
Keywords: outcome
#2985 Peptide Receptor Radionuclide Therapy (PRRT) Outcome Prediction in Neuroendocrine Tumors (NET): Could Radiomic Features Analysis of 68Ga-DOTATOC PET/CT Have a Roll?
Introduction: The PRRT is an effective treatment for NET, but the selection of a good candidate is a very important step.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Case reports
Presenting Author: Virginia Liberini
#2216 Predicting Response to PRRT: Development and Validation of a Blood-Based Predictive Biomarker
Introduction: We have developed a blood-based tool (gene expression analysis and tumor grade) for predicting PRRT efficacy.
Conference: 15th Annual ENETS conference 2018 (2018)
Category: Nuclear Medicine - Imaging and Therapy (PRRT)
Presenting Author: Professor Mark Kidd
#2053 Value of Tumor Growth Rate (TGR) as an Early Predictor of Patients’ Outcome in Patients Diagnosed with Well-Differentiated Neuroendocrine Tumors (NETs): The GREPONET Study
Introduction: TGR (% change in tumour volume per month (%/m)) is postulated to be an early radiological biomarker to overcome limitations of RECIST in NETs.
Conference: 15th Annual ENETS conference 2018 (2018)
Category: Imaging and Interventions (radiology, endoscopy)
Presenting Author: Dr Angela Lamarca
#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
#136 Prevalence, severity and clinical outcome of malnutrition in gastroenteropancreatic neuroendocrine tumors
Introduction: Malnutrition is well-known to unfavorably influence clinical prognosis in patients (pts) with malignant diseases. However, in patients with neuroendocrine tumors (NET) prevalence and outcome of malnutrition are unknown although the gastroenteropancreatic system is most frequently involved.
Conference: 7th Annual ENETS Conference (2010)
Category: Clinical
Presenting Author: Mr Sebastian Maasberg
#462 Genome-Wide Expression Profiling Reveals Downregulation of OTP and CD44 and Upregulation of RET as Indicators of Poor Prognosis in Lung Carcinoids
Introduction: Lung carcinoids comprise a heterogeneous group of neuroendocrine tumors. Only few parameters have been identified that correlated with poor disease outcome, including 11q22-q25 deletions. New biomarkers are required to further improve diagnosis and prediction of prognosis.
Conference: 9th Annual ENETS Conference (2012)
Category: Basic
Presenting Author: MSc Dorian Swarts
#2717 64Cu-DOTATATE PET/CT Predicts Progression-Free Survival in Patients with Neuroendocrine Neoplasms
Introduction: The degree of overexpression of somatostatin receptors in patients with neuroendocrine neoplasms (NEN) may reflect tumor differentiation and thus be associated with prognosis. Non-invasive quantification of receptor density is possible by somatostatin receptor imaging (SRI) using positron emission tomography (PET).
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Nuclear Medicine - Imaging and Therapy (PRRT)
Presenting Author: MD Esben Andreas Carlsen