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: RAISE aimed to find a surrogate endpoint to early predict treatment efficacy in patients with neuroendocrine tumors (NET). Dissociated response is the inhomogeneous response of the different lesions of a patient. Its prognostic value remains unclear.
Conference: 18th Annual ENETS Concerence (2021)
Presenting Author: Dromain C
Authors: Dromain C, Pavel M, Ronot M, Schaefer N, Mandair D,
Keywords: neuroendocrine tumor, dissociated response, progression-free survival, prediction,
Introduction: Response Evaluation Criteria in Solid Tumors (RECIST) assesses treatment response via tumor progression in patients with neuroendocrine tumors (NET). RAISE combined deep learning models (DLM) with sum of the longest diameter (SLD) of liver lesions and chromogranin A (CgA) to find a surrogate endpoint for RECIST to early predict progression-free survival (PFS).
Conference: 18th Annual ENETS Concerence (2021)
Presenting Author: Pavel M
Authors: Pavel M, Dromain C, Ronot M, Schaefer N, Mandair D,
Keywords: neuroendocrine tumor, deep learning models, progression-free survival, prediction,
Introduction: Main pancreatic duct (MPD) dilatation, a frequent observation in cases with adenocarcinoma can also be observed in patients with PanNET.
Conference: 15th Annual ENETSConcerence (2018)
Presenting Author: Ronot M
Authors: Ronot M, Cros J, Faccinetto A, de Mestier L, Hentic O,
Keywords: Sclerozing PanNET, MRI, Main duct dilatation,
Introduction: TGR0 >4%/month was associated with shorter progression-free survival (PFS) in patients (pts) treated with lanreotide in the CLARINET study. Impact of TGR0 in pts treated with other systemic therapies (ST) and with Ki67>10% is unknown.
Conference: 15th Annual ENETSConcerence (2018)
Presenting Author: Crona J
Authors: Crona J, Lamarca A, Ronot M, Opalinska M, Lopez Lopez C,
Keywords: tumor growth rate, TGR, RECIST, Neuroendocrine Tumor,
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 ENETSConcerence (2018)
Presenting Author: Lamarca A
Authors: Lamarca A, Crona J, Ronot M, Opalinska M, Lopez Lopez C,
Keywords: tumor growth rate, response, progression-free survival, follow-up, neuroendocrine tumor, prognosis, TGR, RECIST, radiology,