Abstract Library
Members may log into MY ENETS to visit the abstract library from previous ENETS conferences.
Participants of the ENETS Conference in 2024 can now access the abstract booklet, e-posters and videos, slide decks of talks, the poster carousel, and more via My ENETS.
ENETS Abstract Search
Introduction: Neuroendocrine differentiation and an aggressive phenotype is an important feature of castration-resistant prostate cancer (CRPC). Current biomarkers are unable to detect these advanced, treatment refractory variants.
Conference: 17th Annual ENETSConcerence (2020)
Presenting Author: Modlin I
Authors: Modlin I, Kidd M, Rahbar K, Malczewska A, Rajwa P,
Keywords: Biomarker, NETest, PSA, prostate cancer, neuroendocrine phenotype, castration-resistance, neuroendocrine,
Introduction: Everolimus is a valid therapeutic option for neuroendocrine tumors (NETs); however, data regarding the long responsders in a real-world setting, outside regulatory trials, are scanty.
Conference: 17th Annual ENETSConcerence (2020)
Presenting Author: Rinzivillo M
Authors: Rinzivillo M, De Felice I, Magi L, Prosperi D, Iannicelli E,
Keywords: everolimus, neuroendocrine neoplasia, progressive disease, target therapy,
Introduction: Increase of Ki-67 index in NEN over time in relation to progression and a potential influence on prognosis is scarcely studied.
Conference: 17th Annual ENETSConcerence (2020)
Presenting Author: Holmager P
Authors: Holmager P, Langer S, Federspiel B, Willemoe G, Garbyal R,
Keywords: Ki-67 index, Prognosis, Mortality,
Introduction: Prediction of progression in small intestinal neuroendocrine tumors (SI-NET).
Conference: 17th Annual ENETSConcerence (2020)
Presenting Author: Belusa R
Authors: Knigge U, Kjellman M, Grønbæk H, Thiis-Evensen E, Schalin-Jäntti C,
Keywords: prediction, progression, machine learning, SI-NET, serum protein,
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,