Abstract Library

#4668 Predictive factors of postoperative recurrence in patients with neuroendocrine tumour of the lung: Prospective analysis of clinicopathologic features and radiomics

Introduction: In localised and locally advanced forms neuroendocrine tumours (NETs) of the lung radical surgical resection represents the standard of care, several clinicopathologic factors are potentially associated with recurrence of disease.

Conference:

Presenting Author: Paravani P

Authors: Paravani P, Russo F, Mazzilli R, Zamponi V, Mancini C,

Keywords: radiomics, predictive role, rfs, lung, lung net,

#4631 Correlations between dosimetry and imaging in patients with neuroendocrine tumour treated with 177Lu-DOTATATE

Introduction: Tumour dose may be an important predictor of clinical response, but estimation of a clinically relevant tumour-absorbed dose without high risk of toxicity is challenging.

Conference:

Presenting Author: Gomez Sanchez D

Authors: Gomez Sanchez D, Ribelles M, Fernandez Iglesias A, Paruta Araez L, Mata E,

Keywords: dosimetry, 177Lu-DOTATATE,

#4626 Comparison of two prognostic models for the treatment of pancreatic NET with PRRT

Introduction: The efficacy and time to progression (TTP) following peptide receptor radionuclide therapy (PRRT) for pancreatic neuroendocrine tumours varies widely.

Conference:

Presenting Author: Papantoniou D

Authors: Tiensuu Janson E, Fröss-Baron K, Grönberg M, Ziolkowska B,

Keywords: prrt, pancreatic neuroendocrine tumour, predictive model,

#4609 External validation of Rachel score: A prognostic tool for lung neuroendocrine tumours

Introduction: Lung NETs are a heterogeneous group of tumours with variegated clinical presentation and course. The histological subtype (TC vs AC) and TNM stage are established prognostic factors. In a previous work by our group, we developed a prognostic model named Rachel score, with a satisfactory ability to predict OS and PFS in this population.

Conference:

Presenting Author: La Salvia A

Authors: La Salvia A, Marcozzi B, Lamberti G, Manai C, Mazzilli R,

Keywords: lung neuroendocrine tumour, prognostic tool, Rachel score, external cohort, validation,

#4600 Artificial intelligence in predicting neuroendocrine tumour (NET) outcomes: A model-based prognostic approach

Introduction: Neuroendocrine tumours (NETs) vary widely in clinical behaviour, complicating prognosis. Traditional models often struggle with accuracy due to the complexity of NETs. Artificial intelligence (AI) offers tools for enhanced prognostic precision by analysing complex datasets. This study explores an AI-driven approach to predict outcomes in NET patients at Cantonment General Hospital, Pakistan.

Conference:

Presenting Author: Fatima A

Authors: Fatima A,

Keywords: artificial intelligence, machine learning, Precision medicine, Personalised treatment,