Abstract Library

#4101 Pulmonary neuroendocrine tumors – Symptomatology, tumor characteristics, treatment strategies, and long-term outcomes in 37 Patients

Introduction: Pulmonary Neuroendocrine Tumors (NET) constitute a complex group of diseases with varied clinical manifestations and no definitive diagnostic and treatment guidelines.

Conference:

Presenting Author: Krishna B

Authors: Jain D, Eshpuniyani P, Deshpande R, Sharma S, Krishna B,

Keywords: epidemiology, pulmonary NET, lobectomy, prognosis,

#3935 Single-cell sequencing reveals the heterogeneity of pancreatic neuroendocrine tumors under the pattern of genomic instability and histological grading

Introduction: Non-functional pancreatic neuroendocrine tumor (NF-Pan-NET) is a kind of highly heterogeneous tumors. Histological grading is the key factors affecting the prognosis of patients and instructive in guiding treatment and assessing recurrence in NF-Pan-NET. 90% of NF-Pan-NET are grade G1 or G2, leading to an unpredictable clinical course that varies from indolent to highly malignant. Approximately one-third of patients without CNV alteration and the prognosis of these patients are better than that of patients with CNV alteration. Therefore, probing the heterogeneity of tumors based on histological grading and CNV variation is crucial.

Conference:

Presenting Author: Ye Z

Authors: Ye Z, Zhou C, Xu X, Chen J, Yu X,

Keywords: Pancreatic neuroendocrine tumor, single-cell sequencing, genomic instability, histological grading,

#3119 Artificial intelligence applications in 68Ga-DOTA PET/CT images: Prediction of response assessment in GEP-NETs undergoing PRRT with 177Lu-DOTATOC

Introduction: Radiomics aims at identifying features contained in biomedical images, analysing them in various scenarios such as the patients' outcome prediction.

Conference: 18th Annual ENETS Concerence (2021)

Presenting Author: Vento A

Authors: Vento A, Laudicella R, Spataro A, Comelli A, Stefano A,

Keywords: PRRT, radiomics, artificial intelligence, 177Lu, 68Ga-DOTA, pet/ct, gep-net,

#3112 Response prediction to PRRT in progressing and metastatic GEP-NET undergoing restaging 68Ga-DOTA PET/CT: A preliminary multicenter radiomics study

Introduction: Radiomics aims to identify quantitative features from biomedical images, such as PET, also to improve the prediction of patient outcome.

Conference: 18th Annual ENETS Concerence (2021)

Presenting Author:

Authors: Laudicella R, Comelli A, Spataro A, Stefano A, Vento A,

Keywords: radiomics, PRRT, GEP-NET, 68Ga-DOTA, PET/CT,

#1010 Soluble VCAM-1 and Its Relation to Clinical Staging and Histological Grading in Neuroendocrine Neoplasms (NENs)

Introduction: Cellular adhesion molecules play an important role in tumor progression and metastasis.

Conference: 11th Annual ENETSConcerence (2014)

Presenting Author:

Authors: Rosiek V, Foltyn W, Strzelczyk J, Zemczak A, Kos-Kudła B,

Keywords: neuroendocrine neoplasms, sVCAM-1, histological grade, clinical stage,