Predicting biliary stricture after liver transplantation based on CT imaging features combined with clinicopathological factors.

ABSTRACT:

Objective

To investigate the value of computed tomography imaging features combined with clinicopathological factors in predicting patients' biliary stricture (BS) after liver transplantation and to identify patients at a high risk for BS.

Methods

The imaging data and clinicopathological factors of 178 recipients who underwent liver transplantation at the First People's Hospital of Kunming, were collected. The patients were randomly divided into training and validation set, patients were divided into BS (n = 46) and non-BS groups (n = 132). Independent risk factors to establish models were screened using logistic regression analysis. Predictive efficacy of the models was evaluated using the area under the receiver operating characteristic curve (AUC).

Results

BS occur

SUBMITTER: Wang C 

PROVIDER: S-EPMC12482254 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature