Nomogram for the prediction of lymph node metastasis and survival outcomes in rectal neuroendocrine tumor patients undergoing resection

#3349

Introduction: The prevalence of rectal neuroendocrine tumors (RNET) has steadily increased. It is necessary to construct predictive models to predict the lymph node metastasis (LNM) before treatment and survival outcomes after surgery.

Aim(s): The study aimed to identify predictive factors of RNET patients and construct nomograms for LNM, cancer-specific survival(CSS) and overall survival(OS).

Materials and methods: RNET patients in the SEER database were included. Multivariable logistic regression analysis was used to explore the relationships between clinicopathological factors and LNM. Multivariate competing risk model and Cox regression model were used to identify factors independently associated with CSS and OS,respectively. Nomograms were established based on these factors. Calibration plots, receiver operating characteristic (ROC) curves and Brier scores were used to evaluate the predictive accuracy of the nomograms.

Conference:

Presenting Author: Chen Q

Authors: Chen Q, Chen J, Deng Y, Zhang Y, Huang Z,

Keywords: rectal neuroendocrine tumor, lymph node metastasis, survival, nomogram, SEER,