Preoperative MRI features for characterization of vessels encapsulating tumor clusters and microvascular invasion in hepatocellular carcinoma

被引:23
作者
Yang, Jiawen [1 ]
Dong, Xue [2 ]
Wang, Guanliang [1 ]
Chen, Jinyao [1 ]
Zhang, Binhao [1 ]
Pan, Wenting [1 ]
Zhang, Huangqi [1 ]
Jin, Shengze [3 ]
Ji, Wenbin [1 ]
机构
[1] Wenzhou Med Univ, Dept Radiol, Taizhou Hosp Zhejiang Prov, 150 Ximen St, Taizhou 317000, Zhejiang, Peoples R China
[2] Zhejiang Univ, Taizhou Hosp, Dept Radiol, Taizhou 318000, Zhejiang, Peoples R China
[3] Shaoxing Univ, Taizhou Hosp Zhejiang Prov, Dept Radiol, Taizhou 318000, Zhejiang, Peoples R China
关键词
Hepatocellular carcinoma; Vessels encapsulating tumor clusters; Microvascular invasion; Magnetic resonance imaging; Intratumor vascularity; Prognosis; ACID-ENHANCED MRI; RISK-FACTORS; RECURRENCE; PATTERN; METASTASIS; RESECTION; CANCER;
D O I
10.1007/s00261-022-03740-w
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
Purpose This study aimed to analyze imaging features based on preoperative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for the identification of vessels encapsulating tumor clusters (VETC)-microvascular invasion (MVI) in hepatocellular carcinoma (HCC), VM-HCC pattern. Methods Patients who underwent hepatectomy and preoperative DCE-MRI between January 2015 and March 2021 were retrospectively analyzed. Clinical and imaging features related to VM-HCC (VETC + /MVI-, VETC-/MVI +, VETC + /MVI +) and Non-VM-HCC (VETC-/MVI-) were determined by multivariable logistic regression analyses. Early and overall recurrence were determined using the Kaplan-Meier survival curve. Indicators of early and overall recurrence were identified using the Cox proportional hazard regression model. Results In total, 221 patients (177 men, 44 women; median age, 60 years; interquartile range, 52-66 years) were evaluated. The multivariable logistic regression analyses revealed fetoprotein > 400 ng/mL (odds ratio [OR] = 2.17, 95% confidence interval [CI] 1.07, 4.41, p = 0.033), intratumor vascularity (OR 2.15, 95% CI 1.07, 4.31, p = 0.031), and enhancement pattern (OR 2.71, 95% CI 1.17, 6.03, p = 0.019) as independent predictors of VM-HCC. In Kaplan-Meier survival analysis, intratumor vascularity was associated with early and overall recurrence (p < 0.05). Conclusion Based on DCE-MRI, intratumor vascularity can be used to characterize VM-HCC and is of prognostic significance for recurrence in patients with HCC.
引用
收藏
页码:554 / 566
页数:13
相关论文
共 34 条
[1]  
American College of Radiology, 2020, LIV IM REP DAT SYST
[2]   A computed tomography radiogenomic biomarker predicts microvascular invasion and clinical outcomes in hepatocellular carcinoma [J].
Banerjee, Sudeep ;
Wang, David S. ;
Kim, Hyun J. ;
Sirlin, Claude B. ;
Chan, Michael G. ;
Korn, Ronald L. ;
Rutman, Aaron M. ;
Siripongsakun, Surachate ;
Lu, David ;
Imanbayev, Galym ;
Kuo, Michael D. .
HEPATOLOGY, 2015, 62 (03) :792-800
[3]   Liver Imaging Reporting and Data System (LI-RADS) Version 2018: Imaging of Hepatocellular Carcinoma in At-Risk Patients [J].
Chernyak, Victoria ;
Fowler, Kathryn J. ;
Kamaya, Aya ;
Kielar, Ania Z. ;
Elsayes, Khaled M. ;
Bashir, Mustafa R. ;
Kono, Yuko ;
Do, Richard K. ;
Mitchell, Donald G. ;
Singal, Amit G. ;
Tang, An ;
Sirlin, Claude B. .
RADIOLOGY, 2018, 289 (03) :816-830
[4]   Liver-Intestine Cadherin Predicts Microvascular Invasion and Poor Prognosis of Hepatitis B Virus-Positive Hepatocellular Carcinoma [J].
Ding, Zhen-Bin ;
Shi, Ying-Hong ;
Zhou, Jian ;
Shi, Guo-Ming ;
Ke, Ai-Wu ;
Qiu, Shuang-Jian ;
Wang, Xiao-Ying ;
Dai, Zhi ;
Xu, Yang ;
Fan, Jia .
CANCER, 2009, 115 (20) :4753-4765
[5]  
Dobrucki LW, 2010, J NUCL MED, V51, p66S, DOI [10.2967/jnumed.110.074963, 10.2967/jnumed.109.074963]
[6]   Imaging features based on Gd-EOB-DTPA-enhanced MRI for predicting vessels encapsulating tumor clusters (VETC) in patients with hepatocellular carcinoma [J].
Fan, Yanfen ;
Yu, Yixing ;
Hu, Mengjie ;
Wang, Ximing ;
Du, Mingzhan ;
Guo, Lingchuan ;
Hu, Chunhong .
BRITISH JOURNAL OF RADIOLOGY, 2021, 94 (1119)
[7]   Vessels That Encapsulate Tumor Clusters (VETC) Pattern Is a Predictor of Sorafenib Benefit in Patients with Hepatocellular Carcinoma [J].
Fang, Jian-Hong ;
Xu, Li ;
Shang, Li-Ru ;
Pan, Chu-Zhi ;
Ding, Jin ;
Tang, Yun-Qiang ;
Liu, Hui ;
Liu, Chu-Xing ;
Zheng, Jia-Lin ;
Zhang, Yao-Jun ;
Zhou, Zhong-Guo ;
Xu, Jing ;
Zheng, Limin ;
Chen, Min-Shan ;
Zhuang, Shi-Mei .
HEPATOLOGY, 2019, 70 (03) :824-839
[8]   A novel vascular pattern promotes metastasis of hepatocellular carcinoma in an epithelial-mesenchymal transition-independent manner [J].
Fang, Jian-Hong ;
Zhou, Hui-Chao ;
Zhang, Chong ;
Shang, Li-Ru ;
Zhang, Lei ;
Xu, Jing ;
Zheng, Limin ;
Yuan, Yunfei ;
Guo, Rong-Ping ;
Jia, Wei-Hua ;
Yun, Jing-Ping ;
Chen, Min-Shan ;
Zhang, Yaojun ;
Zhuang, Shi-Mei .
HEPATOLOGY, 2015, 62 (02) :452-465
[9]   Preoperative CT for Characterization of Aggressive Macrotrabecular-Massive Subtype and Vessels That Encapsulate Tumor Clusters Pattern in Hepatocellular Carcinoma [J].
Feng, Zhichao ;
Li, Huiling ;
Zhao, Huafei ;
Jiang, Yi ;
Liu, Qin ;
Chen, Qian ;
Wang, Wei ;
Rong, Pengfei .
RADIOLOGY, 2021, 300 (01) :219-229
[10]   Prediction of Microvascular Invasion in Hepatocellular Carcinoma: Preoperative Gd-EOB-DTPA-Dynamic Enhanced MRI and Histopathological Correlation [J].
Huang, Mengqi ;
Liao, Bing ;
Xu, Ping ;
Cai, Huasong ;
Huang, Kun ;
Dong, Zhi ;
Xu, Ling ;
Peng, Zhenpeng ;
Luo, Yanji ;
Zheng, Keguo ;
Peng, Baogang ;
Li, Zi-Ping ;
Feng, Shi-Ting .
CONTRAST MEDIA & MOLECULAR IMAGING, 2018,