Computed tomography-based radiomics analysis to predict lymphovascular invasion in esophageal squamous cell carcinoma.

ABSTRACT:

Objective

The present study explored the value of preoperative CT radiomics in predicting lymphovascular invasion (LVI) in esophageal squamous cell carcinoma (ESCC).

Methods

A retrospective analysis of 294 pathologically confirmed ESCC patients undergoing surgical resection and their preoperative chest-enhanced CT arterial images were used to delineate the target area of the lesion. All patients were randomly divided into a training cohort and a validation cohort at a ratio of 7:3. Radiomics features were extracted from single-slice, three-slice, and full-volume regions of interest (ROIs). The least absolute shrinkage and selection operator (LASSO) regression method was applied to select valuable radiomics features. Radiomics models were constructed using logistic regression

SUBMITTER: Peng H 

PROVIDER: S-EPMC8822548 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature