Development and validation of a prognostic nomogram for malignant esophageal fistula based on radiomics and clinical factors.

ABSTRACT:

Background

The current study aimed to comprehensively analyze the clinical prognostic factors of malignant esophageal fistula (MEF). Furthermore, this study sought to establish and validate prognostic nomograms incorporating radiomics and clinical factors to predict overall survival and median survival after fistula for patients with MEF.

Methods

The records of 76 patients with MEF were retrospectively analyzed. A stepwise Cox proportional hazards regression model was employed to screen independent prognostic factors and develop clinical nomograms. Radiomic features were extracted from prefistula CT images and post fistula CT images. Least absolute shrinkage and selection operator (LASSO) regression and Cox regression algorithm was used to filter radiomic features and avoid

SUBMITTER: Zhu C 

PROVIDER: S-EPMC8636210 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature