External validation study of endometrial cancer preoperative risk stratification model (ENDORISK).

ABSTRACT:

Introduction

Among industrialized countries, endometrial cancer is a common malignancy with generally an excellent outcome. To personalize medicine, we ideally compile as much information as possible concerning patient prognosis prior to effecting an appropriate treatment decision. Endometrial cancer preoperative risk stratification (ENDORISK) is a machine learning-based computational Bayesian networks model that predicts lymph node metastasis and 5-year disease-specific survival potential with percentual probability. Our objective included validating ENDORISK effectiveness in our patient cohort, assessing its application in the current use of sentinel node biopsy, and verifying its accuracy in advanced stages.

Methods

The ENDORISK model was evaluated with a retrospective co

SUBMITTER: Vinklerova P 

PROVIDER: S-EPMC9381832 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature