Prediction of distant metastasis in esophageal cancer using a radiomics-clinical model.

ABSTRACT:

Background

Distant metastasis, which occurs at a rate of 25% in patients with esophageal cancer (EC), has a poor prognosis, with previous studies reporting an overall survival of only 3-10 months. However, few studies have been conducted to predict distant metastasis in EC, owing to a dearth of reliable biomarkers. The purpose of this study was to develop and validate an accurate model for predicting distant metastasis in patients with EC.

Methods

A total of 299 EC patients were enrolled and randomly assigned to a training cohort (n = 207) and a validation cohort (n = 92). Logistic univariate and multivariate regression analyses were used to identify clinical independent predictors and create a clinical nomogram. Radiomic features were extracted from contrast-enhanced comput

SUBMITTER: Zhu C 

PROVIDER: S-EPMC9719117 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature