Identification of gastroenteropancreatic neuroendocrine tumour patients with high liver tumour burden based on clinicopathological features

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Introduction: Metastatic liver tumour burden (LTB) is a prognostic factor affecting the survival of gastroenteropancreatic neuroendocrine tumours (GEP-NETs), but evaluation of the LTB usually depends on radiologic and functional imaging.

Aim(s): This study aimed to develop a clinical model based on easily accessible clinicopathological markers to predict LTB level in GEP-NET patients.

Materials and methods: LTB was quantified based on 68Ga-DOTANOC PET/CT scan. The optimal cut-off value for high and low-LTB was determined based on our previous study. Serum levels of liver enzymes and tumour biomarkers were obtained within one week before PET/CT scan. LASSO regression method was used to select predictors, and multivariate logistic regression was used to develop a clinical model. Area under the curve (AUC) was applied to assess the accuracy of the constructed model.

Conference:

Presenting Author:

Authors: Jumai N, Chen L, Liu M, He Q, Zeng Z,

Keywords: liver tumour burden, prognosis, GEP-NET,