Evidence map›Paper›PMID 42404104›Full record

ArticleJournal of hepatocellular carcinoma2026

Preoperative Prediction of Glypican-3 Expression in Hepatocellular Carcinoma Using Sonazoid Contrast-Enhanced Ultrasound Radiomics.

Shangman Yang, Zerong Huang, Wei Zheng, Lingling Li, Yao Xue, Ruhai Zou, Chuan Peng

Abstract read
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Article in Journal of hepatocellular carcinoma, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Shangman Yang *Department of Ultrasound, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.ORCID 0009-0007-9535-3050
Zerong Huang *Department of Ultrasound, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
Wei ZhengDepartment of Ultrasound, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
Lingling LiDepartment of Ultrasound, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
Yao XueDepartment of Ultrasound, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
Ruhai ZouDepartment of Ultrasound, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
Chuan PengDepartment of Ultrasound, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.ORCID 0000-0001-6139-155X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To develop and validate a noninvasive radiomics approach based on Sonazoid contrast-enhanced ultrasound (CEUS) for preoperative prediction of Glypican-3 (GPC3) status in solitary hepatocellular carcinoma (HCC) patients and to evaluate its association with early recurrence-free survival (RFS). Materials and Methods: This diagnostic accuracy study retrospectively included 278 solitary HCC patients at a grade A Tertiary Hospital (2020.3-2024.1). Radiomics features were extracted from CEUS images, and robust feature selection was performed using minimum redundancy-maximum relevance (mRMR) and least absolute shrinkage and selection operator (LASSO). A logistic-regression radiomics model was trained and internally validated using a pathologic reference standard. A hybrid model combining the radiomics signature with significant clinical variables was then constructed. Model performance was assessed by the area under the receiver operating characteristic curve (AUC). RFS was compared using the log‑rank test. Results: Among 278 patients (median age, 57 years; IQR, 49-64 years; 232 males), alpha-fetoprotein (AFP) > 200 ng/mL and the radiomics score were independent predictors of GPC3 positivity. The hybrid model integrating CEUS-based radiomics features and AFP achieved AUCs of 0.81 (95% CI: 0.74-0.89) and 0.78 (95% CI: 0.66-0.89) in the training and validation sets, respectively, significantly outperforming the radiomics model (AUC 0.74 (95% CI: 0.65-0.83) and 0.67 (95% CI: 0.52-0.83), both Conclusion: A hybrid model integrating CEUS-based radiomics features and AFP, developed in solitary HCC, shows potential for non-invasive preoperative prediction of GPC3 positive expression in HCC, which may facilitate personalized preoperative treatment planning for these patients. However, it did not predict early recurrence-free survival, and its prognostic value was not demonstrated in this study.

Indexed as

contrast-enhanced ultrasoundglypican-3hepatocellular carcinomaradiomics

Identifiers

PMID42404104
PMCPMC13332783

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