Abstract Library

Welcome to the open-access search for all ENETS abstracts presented at the Annual ENETS Conferences.

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#3621 Comparison of radiomics and deep learning signature for the lymph node metastasis detection in pancreatic neuroendocrine tumor

Introduction: PNETs is rare pancreatic tumors and the accuracy of diagnostic for lymph node metastasis (LNM) is low. Therefore, the quantification of the radiomics and deep learning features (DLF) may help to elevate the accuracy of detection the LNM.

Conference:

Presenting Author: Tang W

Authors: Tang W, Gu W, Chen J,

Keywords: Pancreatic neuroendocrine tumor, lymph node metastasis, radiomics, deep learning features, Multislice computer tomography (MSCT),

#2066 Pretherapeutic Predictors of Tumor Absorbed Dosimetry in Radionuclide Therapy for Metastatic Neuroendocrine Tumors

Introduction: Pretherapeutic 68Gallium-DOTA-(0-Tyr3)-octreotate Positron Emission Tomography (68Ga-DOTATATE PET) standardised uptake value (SUV) has shown conflicting results in the prediction of tumour lesion absorbed dosimetry (TLAD).

Conference: 15th Annual ENETSConcerence (2018)

Presenting Author:

Authors: Ladwa R, Pattison D, Smith J, Goodman S, Burg M,

Keywords: 68Ga-DOTATATE PET-CT, Tumor Dosimetry, SUV predictors,

#472 Detection of Liver Metastases and Prognostic Value of Functional and Anatomical Imaging in Patients with Neuroendocrine Tumors

Introduction: Liver metastases (LM) are frequent in patients with neuroendocrine tumors (NETs) and are associated with decreased overall survival (OS). Several treatment options are available depending on degree, localization, size and number of LM. For optimal choice of treatment and correct staging, accurate imaging modalities are crucial.

Conference: 9th Annual ENETSConcerence (2012)

Presenting Author:

Authors: Knigge U, Binderup T, Federspiel B, Palnæs Hansen C, Loft A,

Keywords: ,

#231 Chromogranin A as a Predictor of Progression, Regression or Stable Disease in Ileo-Cecal Neuroendocrine Tumors

Introduction: Chromogranin A is an excellent marker for NET and tumor volume. Plasma CgA is suggested as the most reliable marker in follow-up of patients with some types of NET.

Conference: 8th Annual ENETSConcerence (2011)

Presenting Author:

Authors: Jensen K, Hilsted L, Jensen C, Mynster T, Knigge U,

Keywords: Chromogranin-A, carcinoid tumors, neuroendocrine tumors, computer tomography, RECIST 1.1,