Ontology highlight
ABSTRACT: Purpose
Few studies have explored the value of radiomics signatures in predicting immunohistochemical (IHC) staining markers. This study aimed to investigate and validate radiomics models based on the Kupffer phase of Sonazoid contrast-enhanced intraoperative ultrasonography (S-CEUS) images for predicting IHC marker expression in hepatocellular carcinoma (HCC).Method
Overall, 113 consecutive patients diagnosed with HCC between November 2019 and May 2023 were retrospectively analyzed. Histopathological assessment included IHC staining for GS, CD10, GPC3, and HSP70. Radiomic features extracted from S-CEUS images were selected and analyzed. A Naïve Bayes classifier was employed to predict IHC marker expression in HCC, using selected clinical biomarkers and radiomic features.
SUBMITTER: Li C
PROVIDER: S-EPMC12497941 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature