Added value of CE-CT radiomics to predict high Ki-67 expression in hepatocellular carcinoma.

ABSTRACT:

Background

This study aimed to develop a computed tomography (CT) model to predict Ki-67 expression in hepatocellular carcinoma (HCC) and to examine the added value of radiomics to clinico-radiological features.

Methods

A total of 208 patients (training set, n = 120; internal test set, n = 51; external validation set, n = 37) with pathologically confirmed HCC who underwent contrast-enhanced CT (CE-CT) within 1 month before surgery were retrospectively included from January 2014 to September 2021. Radiomics features were extracted and selected from three phases of CE-CT images, least absolute shrinkage and selection operator regression (LASSO) was used to select features, and the rad-score was calculated. CE-CT imaging and clinical features were selected using univariate and

SUBMITTER: Zhao YM 

PROVIDER: S-EPMC10514983 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature