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• Clinical Article •
Predicting microvascular invasion in hepatocellular carcinoma using Delta radiomics model based on Gd-EOB-DTPA enhanced MRI
XU Xiaoshuang  LUO Yi  LIANG Shiqi  CHEN Shaofang  Li Xinming  HU Genwen 

DOI:10.12015/issn.1674-8034.2025.11.018.


[Abstract] Objective To investigate the efficacy of Delta radiomics model based on gadoxetic acid disodium (Gd-EOB-DTPA) enhanced MRI for preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC).Materials and Methods A total of 189 pathologically confirmed HCC patients were retrospectively enrolled (91 MVI-positive, 98 MVI-negative). Regions of interest (ROI) of the tumor were delineated on preoperative axial non-contrast T1-weighted imaging (T1WI) and Gd-EOB-DTPA-enhanced hepatobiliary phase (HBP) images. Radiomics feature extraction was performed to calculate Delta radiomics feature values. Feature selection was conducted through paired t-tests, Spearman correlation analysis, and least absolute shrinkage and selection operator (LASSO) algorithm. Logistic regression (LR) classifier was used for constructing three models (T1WI, HBP, and Delta), with receiver operating characteristic (ROC) curves generated to evaluate predictive performance.Results The Delta radiomics model based on LR algorithm demonstrated optimal performance, achieving area under the curve (AUC) of 0.888 (95% CI: 0.834 to 0.942) (training set) and 0.800 (95% CI: 0.687 to 0.913) (validation set). The combined model integrating Delta radiomics features with clinical baseline data showed superior predictive efficacy, with AUC of 0.898 (95% CI: 0.846 to 0.950) (training set) and 0.811 (95% CI: 0.702 to 0.921) (validation set).Conclusions The Gd-EOB-DTPA-enhanced MRI-based Delta radiomics model shows potential clinical value in preoperative MVI prediction for HCC patients. The combined model incorporating both Delta radiomics and clinical baseline parameters exhibits enhanced predictive performance.
[Keywords] hepatocellular carcinoma；magnetic resonance imaging；Gadoxetic acid disodium；radiomics；microvascular invasion

XU Xiaoshuang1   LUO Yi1   LIANG Shiqi1   CHEN Shaofang1   Li Xinming2   HU Genwen1*  

1 Department of Radiology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518020, China

2 Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou 510630, China

Corresponding author: HU G W, E-mail: hugenwen@163.com

Conflicts of interest   None.

Received  2025-06-30
Accepted  2025-11-10
DOI: 10.12015/issn.1674-8034.2025.11.018
DOI:10.12015/issn.1674-8034.2025.11.018.

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