Literature DB >> 30084651

Can microvascular invasion in hepatocellular carcinoma be predicted by diagnostic imaging? A critical review.

Alfonso Reginelli1, Giovanna Vacca1, Teresa Segreto1, Roberto Picascia1, Alfredo Clemente1, Fabrizio Urraro1, Nicola Serra1, Angelo Vanzulli2, Salvatore Cappabianca1.   

Abstract

Imaging still has a limited capacity to detect microvascular invasion (mVI). The objective of this critical review is the evaluation of the most significant predictors of mVI in hepatocellular carcinoma (HCC) detectable by computed tomography, PET/computed tomography and MRI using a mathematical model. We systematically reviewed 15 observational studies from 2008 to 2018 to analyze factors with most impact on mVI detection. The most significant predictors of mVI correlating with imaging techniques were considered. From 1902 patients considered, we individuated 30 total predictors of mVI in a multivariate analysis. The most frequent predictors related to the highest presence with mVI in HCC were: α-fetoprotein (p < 0.0001), tumor size (p < 0.0001) and number of HCC nodules (p = 0.0020).

Entities:  

Keywords:  HCC features; hepatocellular carcinoma; imaging mVI detection; mVI predictors; microvascular invasion

Mesh:

Year:  2018        PMID: 30084651     DOI: 10.2217/fon-2018-0175

Source DB:  PubMed          Journal:  Future Oncol        ISSN: 1479-6694            Impact factor:   3.404


  8 in total

1.  IVIM improves preoperative assessment of microvascular invasion in HCC.

Authors:  Yi Wei; Zixing Huang; Hehan Tang; Liping Deng; Yuan Yuan; Jiaxing Li; Dongbo Wu; Xiaocheng Wei; Bin Song
Journal:  Eur Radiol       Date:  2019-03-15       Impact factor: 5.315

2.  Using deep learning to predict microvascular invasion in hepatocellular carcinoma based on dynamic contrast-enhanced MRI combined with clinical parameters.

Authors:  Danjun Song; Yueyue Wang; Wentao Wang; Yining Wang; Jiabin Cai; Kai Zhu; Minzhi Lv; Qiang Gao; Jian Zhou; Jia Fan; Shengxiang Rao; Manning Wang; Xiaoying Wang
Journal:  J Cancer Res Clin Oncol       Date:  2021-04-10       Impact factor: 4.553

3.  Evaluation of perfusion CT and dual-energy CT for predicting microvascular invasion of hepatocellular carcinoma.

Authors:  Maïté Lewin; Astrid Laurent-Bellue; Christophe Desterke; Adina Radu; Joëlle Ann Feghali; Jad Farah; Hélène Agostini; Jean-Charles Nault; Eric Vibert; Catherine Guettier
Journal:  Abdom Radiol (NY)       Date:  2022-04-13

4.  Histogram peritumoral enhanced features on MRI arterial phase with extracellular contrast agent can improve prediction of microvascular invasion of hepatocellular carcinoma.

Authors:  Xinxin Wang; Yunfeng Sun; Xueyan Zhou; Zhiwei Shen; Hongxia Zhang; Jiqing Xing; Yang Zhou
Journal:  Quant Imaging Med Surg       Date:  2022-02

5.  New Insights Into a Classification-Based Microvascular Invasion Prediction Model in Hepatocellular Carcinoma: A Multicenter Study.

Authors:  Wei Xu; Yonggang Wang; Zhanwei Yang; Jingdong Li; Ruineng Li; Fei Liu
Journal:  Front Oncol       Date:  2022-03-31       Impact factor: 6.244

6.  Preoperative Assessment of Abdominal Adipose Tissue to Predict Microvascular Invasion in Small Hepatocellular Carcinoma.

Authors:  Zongqian Wu; Hong Lu; Qiao Xie; Jie Cheng; Kuansheng Ma; Xiaofei Hu; Liang Tan; Huarong Zhang; Chen Liu; Xiaoming Li; Ping Cai
Journal:  J Clin Transl Hepatol       Date:  2021-07-07

7.  Using pre-operative radiomics to predict microvascular invasion of hepatocellular carcinoma based on Gd-EOB-DTPA enhanced MRI.

Authors:  Xin-Yu Lu; Ji-Yun Zhang; Tao Zhang; Xue-Qin Zhang; Jian Lu; Xiao-Fen Miao; Wei-Bo Chen; Ji-Feng Jiang; Ding Ding; Sheng Du
Journal:  BMC Med Imaging       Date:  2022-09-03       Impact factor: 2.795

8.  Clinical Utility of Protein Induced by Vitamin K Absence-II in Patients with Hepatocellular Carcinoma.

Authors:  Abu Bakar Hafeez H Bhatti; Kiran Naz; Ghazanfar Abbas; Nusrat Y Khan; Haseeb H Zia; Imran N Ahmed
Journal:  Asian Pac J Cancer Prev       Date:  2021-06-01
  8 in total

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