Abstract Library

#2130 Remote Tracking of Symptoms, QoL and Wellbeing within the New Wales NET Service

Introduction: Patients with NETs have worse health-related quality of life (HRQoL) than the general population. Technological advances have significantly increased electronic patient-reported outcome (ePRO) data collection capabilities. There is little longitudinal PRO/ePRO data and limited data on gastrointestinal symptoms, particularly ‘diarrhoea’, in NET patients.

Conference: 15th Annual ENETSConcerence (2018)

Presenting Author: Reynolds M

Authors: Reynolds M, Tucker L, Ankita B, Powell C, Hopps R,

Keywords: Quality of Life, Symptoms, ePRO, Diarrhoea, NET service, Longitudinal Data, CABARET, app,

#1410 Predictive Factors for Survival in Patients with Advanced Small Bowel Neuroendocrine Tumours

Introduction: Tumour grade and hepatic metastases are negative prognostic factors for advanced small bowel neuroendocrine tumours (SBNETs), but data assessing other prognosticators at diagnosis (Dx) are lacking.

Conference: 13th Annual ENETSConcerence (2016)

Presenting Author: TOUMPANAKIS C

Authors: Toumpanakis C, Vlachou E, Ramakrishnan S, Phillips E, Tuck A,

Keywords: small bowel NETs, prognosis,

#1408 Epidemiological Factors at Diagnosis in a Large Cohort of Patients with Small Bowel Neurondocrine Tumours

Introduction: The incidence of small bowel Neuroendocrine Tumours (SBNETs) has been increasing. Despite previous reports, epidemiological data regarding several clinical factors are limited.

Conference: 13th Annual ENETSConcerence (2016)

Presenting Author: TOUMPANAKIS C

Authors: Toumpanakis C, Vlachou E, Wilkins D, Tuck A, Phillips E,

Keywords: Small bowel NETs, epidemiology, diagnosis,

#813 Comparison of Manual and Automatic Methods of Ki-67 Proliferation Index for Neuroendocrine Tumors: The Development and Validation of a Novel Digital Pathology Tool (Ki-67Counter)

Introduction: Ki-67 proliferation index is an increasingly important biomarker used to grade neuroendocrine tumors. Manual counting methods are laborious and subject to inter- and intra-observer variability. Digital counting methods hold promise for fast and reproducible indices, however, they are fraught with technical difficulties.

Conference: 11th Annual ENETSConcerence (2014)

Presenting Author:

Authors: Neltner J, Su H, Xing F, Rosser J, Cibull M,

Keywords: digital pathology, automated Ki-67 counting, image analysis,