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: Appendiceal neuroendocrine tumours (aNET) are rare neoplasms for which consensus is needed for follow-up and additional treatment. To unravel the factors behind aNET which showed lymph node metastasis (LNM) in additional right hemicolectomy (RH), we evaluated high-risk histopathological parameters in aNETs and studied molecular parameters.
Conference:
Presenting Author: Bremer B
Authors: Bremer B, Kyriskozoglou V, El Moumni M, Heideman D, Walenkamp-Hageman A,
Keywords: Appendix NET, High-risk histopathological criteria, Serotonin, Driver mutation, Right Hemicolectomy,
Introduction: The systemic spread of panNETs is dominated by lymphatic reflux and portal system, exhibiting diverse patterns of metastasis without systematical genomic investigation.
Conference:
Presenting Author: Wu J
Authors: Wu J, Peng Y, Yin L, Jiang K, Li Q,
Keywords: Pan NET, Metastasis, Whole exome sequencing, Pylogenic tree,
#4422 A case report of an undifferentiated neuroendocrine carcinoma with an unknown primary site
Introduction: In the situation where the primary lesion remains unknown, high-grade poorly differentiated neuroendocrine carcinoma typically shows extensive metastasis at the time of clinical visit. Common metastatic sites include the liver, bones, lungs and brain, and the prognosis is extremely poor.
Conference:
Presenting Author:
Keywords: poorly differentiated neuroendocrine carcinoma, unknown primary origin,
Introduction: Preoperative precise staging of lymph nodes is crucial for determining surgical approach and extent for duodenal and pancreatic neuroendocrine neoplasms (DP-NENs), especially for small (≤2cm) DP-NENs.
Conference:
Presenting Author:
Authors: Xianze W, Bohui Y, Wenjia Z, Wensheng L, Meixi L,
Keywords: 68Ga-SSTR PET/CT, neuroendocrine neoplasm, lymph node metastasis, surgical decision-making,
Introduction: Lymph node status is an important factor for the patients with NF-PanNETs with respect to surgical methods, prognosis, and recurrence. Our model serves as a non-invasive tool that supports clinical decision-making for precision surgical treatment in patients with NF-PanNETs.
Conference:
Presenting Author: Tang W
Keywords: Non-functional pancreatic neuroendocrine tumour, deep learning, fully automated segmentation, imaging Informatics,