Preoperative MRI features to predict vessels that encapsulate tumor clusters and microvascular invasion in hepatocellular carcinoma

被引:8
|
作者
Zhu, Yanyan [1 ]
Yang, Lili [1 ]
Wang, Meng [2 ]
Pan, Junhan [1 ]
Zhao, Yanci [1 ]
Huang, Huizhen [1 ]
Sun, Ke [2 ,4 ]
Chen, Feng [1 ,3 ]
机构
[1] Zhejiang Univ, Sch Med, Affiliated Hosp 1, Dept Radiol, Hangzhou, Peoples R China
[2] Zhejiang Univ, Sch Med, Affiliated Hosp 1, Dept Pathol, Hangzhou, Peoples R China
[3] Zhejiang Univ, Sch Med, Affiliated Hosp 1, Dept Radiol, 79 Qingchun Rd, Hangzhou 310003, Zhejiang, Peoples R China
[4] ZheJiang Univ, Sch Med, Affiliated Hosp 1, Dept Pathol, 79 Qingchun Rd, Hangzhou 310003, Zhejiang, Peoples R China
关键词
Hepatocellular Carcinoma; Magnetic Resonace Imaging (MRI); Microvascular Invasion (MVI); Diagnosis; Prognosis; MESENCHYMAL TRANSITION; VETC; PATTERN; CT;
D O I
10.1016/j.ejrad.2023.111089
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
Objective: To estimate the potential of preoperative MRI features in the prediction of the integration patterns of vessels that encapsulate tumor clusters (VETC) and microvascular invasion (MVI) (VM) patterns in hepatocellular carcinoma (HCC) patients after resection and to assess the prognostic value of VM patterns. Materials and Methods: Patients who underwent surgical resection for HCC between July 2019 and July 2020 were retrospectively included in the training cohort and validation cohort. In the training cohort, patients were classified into VM-positive HCC (VM-HCC) and VM-negative HCC (non-VM HCC). Predictors associated with VM-HCC were determined by using logistic regression analyses and used to build a prediction model of VM-HCC. The model was tested in the validation cohort by area under the receiver operating characteristic curve (AUC) analysis. Prognostic factors associated with early recurrence of HCC were evaluated by use of Cox logistic regression analyses.Results: Alpha-fetoprotein (AFP) level higher than 400 ng/mL (odds ratio [OR] = 8.0; 95% CI: 2.6-25.2; P < 0.001), non-smooth tumor margin (OR = 3.1; 95% CI: 1.4-6.0; P < 0.001) and peritumoral arterial enhancement (OR = 2.9; 95% CI: 1.4-6.2; P = 0.004) were independent predictors of VM-HCC. The AUCs of the prediction model for VM-HCC were 0.81 for the training cohort and 0.79 for the validation cohort. The high risk of VM-HCC predicted by the three preoperative predictors derived from the prediction model (hazard ratio [HR] 2.0; 95% CI: 1.3, 3.2; P = 0.003) were independently associated with early recurrence, while pathologically confirmed VM-HCC (HR 2.8; 95% CI: 1.6, 3.8; P < 0.001) and satellite nodules (HR 1.8; 95% CI: 1.1, 3.1; P = 0.025) were independently associated with early recurrence after surgical resection.Conclusion: The predictive model can be used to predict VM patterns. VM-HCC is associated with increased risk of early recurrence after surgical resection in HCC.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Preoperative MRI features for characterization of vessels encapsulating tumor clusters and microvascular invasion in hepatocellular carcinoma
    Yang, Jiawen
    Dong, Xue
    Wang, Guanliang
    Chen, Jinyao
    Zhang, Binhao
    Pan, Wenting
    Zhang, Huangqi
    Jin, Shengze
    Ji, Wenbin
    ABDOMINAL RADIOLOGY, 2023, 48 (02) : 554 - 566
  • [2] Preoperative MRI features for characterization of vessels encapsulating tumor clusters and microvascular invasion in hepatocellular carcinoma
    Jiawen Yang
    Xue Dong
    Guanliang Wang
    Jinyao Chen
    Binhao Zhang
    Wenting Pan
    Huangqi Zhang
    Shengze Jin
    Wenbin Ji
    Abdominal Radiology, 2023, 48 : 554 - 566
  • [3] Preoperative CT features for characterization of vessels that encapsulate tumor clusters in hepatocellular carcinoma
    Liu, Ziyu
    Mao, Yun
    Liu, Liu
    Li, Junjie
    Li, Qingshu
    Zhou, Yin
    EUROPEAN JOURNAL OF RADIOLOGY, 2024, 179
  • [4] Application of a Convolutional Neural Network for Multitask Learning to Simultaneously Predict Microvascular Invasion and Vessels that Encapsulate Tumor Clusters in Hepatocellular Carcinoma
    Chu, Tongjia
    Zhao, Chen
    Zhang, Jian
    Duan, Kehang
    Li, Mingyang
    Zhang, Tianqi
    Lv, Shengnan
    Liu, Huan
    Wei, Feng
    ANNALS OF SURGICAL ONCOLOGY, 2022, 29 (11) : 6774 - 6783
  • [5] A new horizon in risk stratification of hepatocellular carcinoma by integrating vessels that encapsulate tumor clusters and microvascular invasion
    Lianghe Lu
    Wei Wei
    Chaoyun Huang
    Shaohua Li
    Chong Zhong
    Jiahong Wang
    Wushen Yu
    Yongfa Zhang
    Minshan Chen
    Yihong Ling
    Rongping Guo
    Hepatology International, 2021, 15 : 651 - 662
  • [6] A new horizon in risk stratification of hepatocellular carcinoma by integrating vessels that encapsulate tumor clusters and microvascular invasion
    Lu, Lianghe
    Wei, Wei
    Huang, Chaoyun
    Li, Shaohua
    Zhong, Chong
    Wang, Jiahong
    Yu, Wushen
    Zhang, Yongfa
    Chen, Minshan
    Ling, Yihong
    Guo, Rongping
    HEPATOLOGY INTERNATIONAL, 2021, 15 (03) : 651 - 662
  • [7] Vessels That Encapsulate Tumor Clusters (VETC) Predict cTACE Response in Hepatocellular Carcinoma
    Lin, Chunyu
    He, Yuan
    Liu, Mengnan
    Wu, Aihua
    Zhang, Jing
    Li, Shurong
    Li, Shuqi
    Cao, Qinghua
    Liu, Fang
    JOURNAL OF HEPATOCELLULAR CARCINOMA, 2023, 10 : 383 - 397
  • [8] Preoperative Three-Dimensional Morphological Tumor Features Predict Microvascular Invasion in Hepatocellular Carcinoma
    Li, Yumeng
    Li, Pengpeng
    Ma, Junjie
    Wang, Yuanyuan
    Tian, Qiyu
    Yu, Jian
    Zhang, Qinghui
    Shi, Huazheng
    Zhou, Weiping
    Huang, Gang
    ACADEMIC RADIOLOGY, 2024, 31 (05) : 1862 - 1869
  • [9] ASO Visual Abstract: Application of a Convolutional Neural Network for Multitask Learning to Simultaneously Predict Microvascular Invasion and Vessels That Encapsulate Tumor Clusters in Hepatocellular Carcinoma
    Tongjia Chu
    Chen Zhao
    Jian Zhang
    Kehang Duan
    Mingyang Li
    Tianqi Zhang
    Shengnan Lv
    Huan Liu
    Feng Wei
    Annals of Surgical Oncology, 2022, 29 : 6784 - 6785
  • [10] Preoperative Gadoxetic Acid-Enhanced MRI Features for Evaluation of Vessels Encapsulating Tumor Clusters and Microvascular Invasion in Hepatocellular Carcinoma: Creating Nomograms for Risk Assessment
    Qu, Qi
    Liu, Zixin
    Lu, Mengtian
    Xu, Lei
    Zhang, Jiyun
    Liu, Maotong
    Jiang, Jifeng
    Gu, Chunyan
    Ma, Qinrong
    Huang, Aina
    Zhang, Xueqin
    Zhang, Tao
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2024, 60 (03) : 1094 - 1110