Perfusion parameters of triphasic computed tomography hold preoperative prediction value for microvascular invasion in hepatocellular carcinoma

被引:0
|
作者
Li Zhang
Guodong Pang
Jing Zhang
Zhenguo Yuan
机构
[1] Shandong University,Department of Radiology, The Second Hospital, Cheeloo College of Medicine
[2] Shandong University,Department of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine
[3] Shandong Provincial Hospital Affiliated to Shandong First Medical University,Department of Radiology
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
The purpose of this study was to evaluate perfusion parameters of triphasic computed tomography (CT) scans in predicting microvascular invasion (MVI) in hepatocellular carcinoma (HCC). All patients were pathologically diagnosed as HCC and underwent triple-phase enhanced CT imaging, which was used to calculate the blood perfusion parameters of hepatic arterial supply perfusion (HAP), portal vein blood supply perfusion (PVP), hepatic artery perfusion Index (HPI), and arterial enhancement fraction (AEF). Receiver operating characteristic (ROC) curve was used to evaluate the performance. The mean values of PVP(Min), AEF(Min), the difference in PVP, HPI and AEF related parameters, the relative PVP(Min) and AEF(Min) in MVI negative group were significantly higher than those in MVI positive group, while for the difference in HPI(Max), the relative HPI(Max) and AEF(Max), the value of MVI positive group significantly higher than that of negative group. The combination of PVP, HPI and AEF had the highest diagnostic efficacy. The two parameters related to HPI had the highest sensitivity, while the combination of PVP related parameters had higher specificity. A combination of perfusion parameters in patients with HCC derived from traditional triphasic CT scans can be used as a preoperative biomarker for predicting MVI.
引用
收藏
相关论文
共 50 条
  • [41] Nomogram for preoperative estimation of microvascular invasion risk in hepatocellular carcinoma
    Huang, Xiao-Wen
    Li, Yan
    Jiang, Li -Na
    Zhao, Bo-Kang
    Liu, Yi-Si
    Chen, Chun
    Zhao, Dan
    Zhang, Xue-Li
    Li, Mei-Ling
    Jiang, Yi-Yun
    Liu, Shu-Hong
    Zhu, Li
    Zhao, Jing-Min
    TRANSLATIONAL ONCOLOGY, 2024, 45
  • [42] Prediction of microvascular invasion in hepatocellular carcinoma with preoperative imaging radiomic analysis: Is it ready for prime time?
    Xu, Gang
    Yang, Hua-Yu
    Xu, Hai-Feng
    HEPATOBILIARY & PANCREATIC DISEASES INTERNATIONAL, 2019, 18 (03) : 289 - 290
  • [43] Temporal Encoded Deep Learning Radiomics Model for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma
    Jiahui Hu
    Xi Deng
    Yukai Pan
    Yutao Wang
    Wei Jin
    Journal of Medical and Biological Engineering, 2023, 43 : 623 - 632
  • [44] PET-guided attention for prediction of microvascular invasion in preoperative hepatocellular carcinoma on PET/CT
    Zhengjie Ye
    Jian Zhang
    Nan Wu
    Song Chen
    Yutao Wang
    Zhongfei Yu
    Wei Jin
    Annals of Nuclear Medicine, 2023, 37 : 238 - 245
  • [45] Preoperative prediction of microvascular invasion in non-metastatic hepatocellular carcinoma based on nomogram analysis
    Zhang, Chihao
    Zhao, Ran
    Chen, Fancheng
    Zhu, Yiming
    Chen, Liubo
    TRANSLATIONAL ONCOLOGY, 2021, 14 (01):
  • [46] Radiomics and nomogram of magnetic resonance imaging for preoperative prediction of microvascular invasion in small hepatocellular carcinoma
    Yi-Di Chen
    Ling Zhang
    Zhi-Peng Zhou
    Bin Lin
    Zi-Jian Jiang
    Cheng Tang
    Yi-Wu Dang
    Yu-Wei Xia
    Bin Song
    Li-Ling Long
    World Journal of Gastroenterology, 2022, 28 (31) : 4399 - 4416
  • [47] A novel multimodal deep learning model for preoperative prediction of microvascular invasion and outcome in hepatocellular carcinoma
    Wang, Fang
    Chen, Qingqing
    Chen, Yinan
    Zhu, Yajing
    Zhang, Yuanyuan
    Cao, Dan
    Zhou, Wei
    Liang, Xiao
    Yang, Yunjun
    Lin, Lanfen
    Hu, Hongjie
    EJSO, 2023, 49 (01): : 156 - 164
  • [48] Temporal Encoded Deep Learning Radiomics Model for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma
    Hu, Jiahui
    Deng, Xi
    Pan, Yukai
    Wang, Yutao
    Jin, Wei
    JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING, 2023, 43 (05) : 623 - 632
  • [49] Author Correction: Preoperative nomogram for microvascular invasion prediction based on clinical database in hepatocellular carcinoma
    Shuqi Mao
    Xi Yu
    Yong Yang
    Yuying Shan
    Joseph Mugaanyi
    Shengdong Wu
    Caide Lu
    Scientific Reports, 11
  • [50] Prediction of microvascular invasion in hepatocellular carcinoma with preoperative imaging radiomic analysis: Is it ready for prime time?
    Gang Xu
    Hua-Yu Yang
    Hai-Feng Xu
    Hepatobiliary & Pancreatic Diseases International, 2019, 18 (03) : 289 - 290