Abstract Library

#4597 FIT-NETs: Assessing the effects of an exercise programme on the physical and emotional well-being of patients with advanced G1-2 NETs of GEP or unknown origin

Introduction: Physical activity programs in solid tumours have shown to improve symptom control and even survival, but their impact on NENs remains unexplored. Advanced disease, systemic therapy, and hormonal secretion in these tumours often lead to muscle wasting and sarcopenia.

Conference:

Presenting Author: Anton-Pascual B

Authors: Anton-Pascual B, Rodriguez-Gomez J, de Cima A, Herrero-Llorente A, Modrego A,

Keywords: FIT-NET, physical exercise program, Quadriceps, MEP & MIP, QoL,

#4379 Fully automated segmentation and lymph node metastasis prediction of non-functional pancreatic neuroendocrine tumours using deep learning

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

Authors: Tang W, Chen J,

Keywords: Non-functional pancreatic neuroendocrine tumour, deep learning, fully automated segmentation, imaging Informatics,

#4038 Identification of gastroenteropancreatic neuroendocrine tumor with high liver tumor burden based on clinicopathological features

Introduction: Liver tumor burden (LTB) is a key prognostic factor affecting survival and treatment response of GEP-NET patients. Currently available quantitative assessment of LTB relies on 68Ga-SSA PET/CT scan which is not accessible in some centers.

Conference:

Presenting Author: Chen L

Authors: Jumai N, Chen L, He Q, Liu M, Wen W,

Keywords: liver tumor burden, prediction, neuroendocrine tumor,

#3972 Machine-learning identified optimised classification models for the diagnosis of typical and atypical lung carcinoids based on the genomic variance

Introduction: The current diagnosis of lung typical carcinoids (TCs) and atypical carcinoids (ACs) can be ambiguous for small biopsies containing limited tissues.

Conference:

Presenting Author: Guo Y

Authors: Guo Y, Su F, Hu S, Chen R, Chen Q,

Keywords: lung carcinoid, typical carcinoid, atypical carcinoid, machine-learning, diagnosis, genomic features,

#3942 A nomogram to preoperatively predict the aggressiveness of non-functional pancreatic neuroendocrine tumors based on CT features

Introduction: Most NF-pNETs are diagnosed incidentally, it’s a challenge for clinicians to choose between invasive management, which means oncologic resection, and conservative management. Preoperatively predicting the aggressiveness of NF-pNETs could guide clinicians to make individualized management decisions.

Conference:

Presenting Author: Shen X

Authors: Shen X, Jiang T, Mohammad Z, Wang X, Xie Z,

Keywords: aggressiveness, pancreatic neuroendocrine tumor, computed tomography, nomogram,