A radiomics nomogram for the prediction of overall survival in patients with hepatocellular carcinoma after hepatectomy.

ABSTRACT:

Background

Hepatocellular carcinoma (HCC) is associated with a dismal prognosis, and prediction of the prognosis of HCC can assist in therapeutic decision-makings. An increasing number of studies have shown that the texture parameters of images can reflect the heterogeneity of tumors, and may have the potential to predict the prognosis of patients with HCC after surgical resection. The aim of this study was to investigate the prognostic value of computed tomography (CT) texture parameters in patients with HCC after hepatectomy and to develop a radiomics nomogram by combining clinicopathological factors and the radiomics signature.

Methods

In all, 544 eligible patients were enrolled in this retrospective study and were randomly divided into the training cohort (n = 381) and t

SUBMITTER: Liu Q 

PROVIDER: S-EPMC7667801 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature