Gd-EOB-DTPA enhanced MRI and T1 mapping for evaluating vessels encapsulating tumor clusters caused by hepatocellular carcinoma
10.13929/j.issn.1003-3289.2025.10.029
- VernacularTitle:钆塞酸二钠增强MRI联合T1 mapping预测肝细胞癌致肿瘤包绕血管
- Author:
Bo JIANG
1
;
Chong LIU
1
;
Yitong LU
1
;
Dongxue LI
1
;
Shunda DU
1
;
Feng FENG
1
;
Yun WANG
1
Author Information
1. 中国医学科学院北京协和医学院北京协和医院放射科,北京 100730
- Publication Type:Journal Article
- Keywords:
liver neoplasms;
magnetic resonance imaging;
vessels encapsulating tumor clusters
- From:
Chinese Journal of Medical Imaging Technology
2025;41(10):1741-1745
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the value of gadolinium-ethoxybenzyl-diethylenetriaminepentaacetic acid(Gd-EOB-DTPA)enhanced MRI and T1 mapping for evaluating vessels encapsulating tumor clusters(VETC)caused by hepatocellular carcinoma(HCC).Methods Totally 112 cases of HCC confirmed by surgical pathology were retrospectively enrolled and categorized into positive group(n=46)and negative group(n=66)based on the presence or absence of VETC.Gd-EOB-DTPA enhanced MRI features and T1 mapping parameters were compared between groups.Multivariate logistic regression analysis was used to identify independent risk factors for HCC VETC,and a combined nomogram model was developed.Receiver operating characteristic(ROC)curve was plotted,and the area under the curve(AUC)was calculated to evaluate the efficacy of the identified independent risk factors and nomogram model for predicting HCC VETC.Results The maximum diameter of HCC,incidence of non-smooth tumor margin,prevalence of peritumoral hypo-intensity on hepatobiliary phase(HBP),as well as T1 value of HBP(T1post)in positive group were all higher,while the change rate of T1 value(ΔT1％)in positive group was lower than those in negative group(all P＜0.05).The increased maximum diameter,non-smooth margin,peritumoral hypo-intensity on HBP and low ΔT1％were all independent risk factors for HCC VETC(all P＜0.05),with AUC for predicting HCC VETC of 0.680,0.675,0.686 and 0.752,respectively.The nomogram model developed based on the combination of the above factors showed sensitivity of 78.79％,specificity of 71.74％and AUC of 0.839 for predicting HCC VETC.Conclusion Gd-EOB-DTPA enhanced MRI combined with T1 mapping could be used to effectively predict HCC VETC.
