Intraindividual comparison of CT and MRI for predicting vessels encapsulating tumor clusters in hepatocellular carcinoma

被引:0
|
作者
Pan, Junhan [1 ]
Huang, Huizhen [1 ]
Zhang, Siying [1 ]
Zhu, Yanyan [1 ]
Zhang, Yuhao [2 ]
Wang, Meng [2 ]
Zhang, Cong [1 ]
Zhao, Yan-Ci [1 ]
Chen, Feng [1 ]
机构
[1] Zhejiang Univ, Affiliated Hosp 1, Sch Med, Dept Radiol, 79 Qingchun Rd, Hangzhou 310003, Peoples R China
[2] Zhejiang Univ, Affiliated Hosp 1, Sch Med, Dept Pathol, 79 Qingchun Rd, Hangzhou 310003, Peoples R China
基金
中国国家自然科学基金;
关键词
Hepatocellular carcinoma; Diagnosis; Computed tomography; Magnetic resonance imaging; Metastasis; DIAGNOSIS; PATTERN;
D O I
10.1007/s00330-024-10944-9
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
ObjectivesTo establish and validate scoring models for predicting vessels encapsulating tumor clusters (VETC) in hepatocellular carcinoma (HCC) using computed tomography (CT) and magnetic resonance imaging (MRI), and to intra-individually compare the predictive performance between the two modalities. MethodsWe retrospectively included 324 patients with surgically confirmed HCC who underwent preoperative dynamic CT and MRI with extracellular contrast agent between June 2019 and August 2020. These patients were then divided into a discovery cohort (n = 227) and a validation cohort (n = 97). Imaging features and Liver Imaging Reporting and Data System (LI-RADS) categories of VETC-positive HCCs were evaluated. Logistic regression analyses were conducted on the discovery cohort to identify clinical and imaging predictors associated with VETC-positive cases. Subsequently, separate CT-based and MRI-based scoring models were developed, and their diagnostic performance was compared using generalized estimating equations. ResultsOn both CT and MRI, VETC-positive HCCs exhibited a higher frequency of size > 5.0 cm, necrosis or severe ischemia, non-smooth tumor margin, targetoid appearance, intratumor artery, and heterogeneous enhancement with septations or irregular ring-like structure compared to VETC-negative HCCs (all p < 0.05). Regarding LI-RADS categories, VETC-positive HCCs were more frequently categorized as LR-M than VETC-negative cases (all p < 0.05). In the validation cohort, the CT-based model showed similar sensitivity (76.7% vs. 86.7%, p = 0.375), specificity (83.6% vs. 74.6%, p = 0.180), and area under the curve value (0.80 vs. 0.81, p = 0.910) to the MRI-based model in predicting VETC-positive HCCs. ConclusionPreoperative CT and MRI demonstrated comparable performance in the identification of VETC-positive HCCs, thus displaying promising predictive capabilities. Clinical relevance statementBoth computed tomography and magnetic resonance imaging demonstrated promise in preoperatively identifying the vessel-encapsulating tumor cluster pattern in hepatocellular carcinoma, with no statistically significant difference between the two modalities, potentially adding additional prognostic value.
引用
收藏
页码:61 / 72
页数:12
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