Ontology highlight
ABSTRACT: Background
Previous studies found it difficult to differentiate hepatoid adenocarcinoma of the stomach (HAS) from conventional gastric adenocarcinoma (CGA). We aimed to assess the efficacy of a computed tomography (CT)-based radiomics nomogram in identifying HAS.Methods
Portal phase CT images were collected from 59 patients with HAS and 122 patients with CGA. HAS and CGA were differentiated through univariate analysis of clinical characteristics, serum biochemical biomarkers, and CT features. The construction of the radiomics signature involved the application of the least absolute shrinkage and selection operator (LASSO) regression model. Multivariable logistic regression analysis was employed to establish the CT-based radiomics nomogram.Results
The separation of H
SUBMITTER: Gu X
PROVIDER: S-EPMC11565099 | biostudies-literature | 2024 Oct
REPOSITORIES: biostudies-literature