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

#4668

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.

Aim(s): Evaluate RFS and the predictive role of clinicopathological factors and radiomics features in patients with NET of the lung.

Materials and methods: From 2021 were enrolled all patients diagnosed with NET of the lung afferent the ENETS AOU Sant'Andrea. Patients with localised or locally advanced, underwent radical surgery and at least 1 year of postoperative follow-up. Predictive role of several clinico-pathological factors and radiomic was evaluated. RFS was calculated by KM analysis. For the radiomics, baseline images of the chest were acquired, segmented and 107 features extracted. Features were evaluated individually by univariate logistic regression and combined performing a multivariate logistic regression.

Conference:

Presenting Author: Paravani P

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

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