Abstract Library
Welcome to the open-access search for all ENETS abstracts presented at the Annual ENETS Conferences.
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ENETS Abstract Search
Introduction: Algorithm for stage T1 pancreatic neuroendocrine tumours (PNETs) treatment requires clarification.
Conference:
Presenting Author:
Authors: Salimgereeva D, Feidorov I, Konyakhina A, Petrova A,
Keywords: Neuroendocrine tumour, PNET, pancreatic NET, management, active observation, follow-up, registry, CHEK2, oestrogen,
Introduction: The NETest 2.0 is a PCR assay of circulating mRNA, scored 0-100. It has been developed as a biomarker to diagnose neuroendocrine neoplasia (NEN) and to provide tumour prognostic information.
Conference:
Presenting Author: Chirindel A
Authors: Chirindel A, Wild D, Voegeli M, de Dosso S, Siebenhüner A,
Keywords: NETest, tumour biomarker, NEN, disease presence, disease progression,
Introduction: An unmet need in NEN diagnosis is better risk stratification for individuals with suspected disease (based on symptoms or imaging), enabling efficient identification of those needing further evaluation and tissue diagnosis, thus speeding the process and reducing costs. NETest 2.0, a biomarker based on a 51-gene mRNA panel, was developed for diagnosing neuroendocrine neoplasia (NEN).
Conference:
Presenting Author: Chirindel A
Authors: Chirindel A, Wild D, Voegeli M, de Dosso S, Siebenhüner A,
Keywords: NETest, tumour biomarker, at-risk population, NEN,
Introduction: Assessment of disease status remains the fundamental basis in the management of gastro-entero-pancreatic neuro-endocrine tumors (GEPNETs). Circulating molecular information might be used as a liquid biopsy to predict its clinical course.
Conference: 17th Annual ENETSConcerence (2020)
Presenting Author: van Treijen M
Authors: van Treijen M, van der Zee D, Heeres B, Staal F, Vriens M,
Keywords: biomarker, progression-free survival, gastro-entero-pancreatic neuroendocrine tumours,
Introduction: Response evaluation and prediction of outcome of a neuroendocrine tumor (NET) remains difficult.
Conference: 17th Annual ENETSConcerence (2020)
Presenting Author:
Authors: Staal F, Taghavi M, van Treijen M, Tesselaar M, Beets-Tan R,
Keywords: Radiomics, CT, Liver metastases, Response, Outcome prediction,