Radiomics analysis of contrast-enhanced CT for staging liver fibrosis: an update for image biomarker.

ABSTRACT:

Background

To establish and validate a radiomics-based model for staging liver fibrosis at contrast-enhanced CT images.

Materials and methods

This retrospective study developed two radiomics-based models (R-score: radiomics signature; R-fibrosis: integrate radiomic and serum variables) in a training cohort of 332 patients (median age, 59 years; interquartile range, 51-67 years; 256 men) with biopsy-proven liver fibrosis who underwent contrast-enhanced CT between January 2017 and December 2020. Radiomic features were extracted from non-contrast, arterial and portal phase CT images and selected using the least absolute shrinkage and selection operator (LASSO) logistic regression to differentiate stage F3-F4 from stage F0-F2. Optimal cutoffs to diagnose significant fibrosis (st

SUBMITTER: Wang J 

PROVIDER: S-EPMC9174317 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature