Literature DB >> 25148181

Prediction of microvascular invasion of hepatocellular carcinoma: preoperative CT and histopathologic correlation.

Chen-Te Chou1, Ran-Chou Chen, Wei-Chan Lin, Chih-Jan Ko, Chia-Bang Chen, Yao-Li Chen.   

Abstract

OBJECTIVE: The objective of our study was to prospectively investigate whether nonsmooth margins detected on multiphasic CT images correlate with the presence and location of microvascular invasion (MVI) in hepatocellular carcinoma (HCC). SUBJECTS AND METHODS: A total of 102 patients with preoperative CT findings of solitary HCC were prospectively enrolled. Tumor size, tumor capsule, tumor margins, and peritumoral enhancement on preoperative CT images were assessed. Histopathologic results including the following were also recorded: tumor differentiation; liver fibrosis score; presence or absence of MVI; and, if present, the location of MVI. Correlation between tumor margin on preoperative CT images and histopathologic location of MVI was determined.
RESULTS: Pathologic examination revealed MVI in 60 of the 102 HCC specimens. Although the results of the univariate analysis showed that tumor size, higher Edmondson-Steiner grade, and nonsmooth tumor margins were associated with MVI, multivariate analysis revealed that only nonsmooth margins correlated with the presence of MVI in HCC (p < 0.001). Of the 60 HCC specimens with histopathologic evidence of MVI, 40 exhibited focal nonsmooth margins. In addition, the locations of the nonsmooth margins and MVI were similar in 36 of the 40 specimens.
CONCLUSION: Nonsmooth tumor margins correlated with the histopathologic presence and location of MVI. Therefore, nonsmooth margins detected on multiphasic CT may be predictive of MVI in HCC.

Entities:  

Keywords:  CT; hepatocellular carcinoma; microvascular invasion; tumor capsule; tumor margin

Mesh:

Year:  2014        PMID: 25148181     DOI: 10.2214/AJR.13.10595

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  52 in total

1.  Microvascular invasion in hepatocellular carcinoma.

Authors:  Emre Ünal; İlkay Sedakat İdilman; Deniz Akata; Mustafa Nasuh Özmen; Muşturay Karçaaltıncaba
Journal:  Diagn Interv Radiol       Date:  2016 Mar-Apr       Impact factor: 2.630

2.  Vascular microinvasion from hepatocellular carcinoma: CT findings and pathologic correlation for the best therapeutic strategies.

Authors:  Alfonso Reginelli; Angelo Vanzulli; Cristiano Sgrazzutti; Luca Caschera; Nicola Serra; Antonio Raucci; Fabrizio Urraro; Salvatore Cappabianca
Journal:  Med Oncol       Date:  2017-04-12       Impact factor: 3.064

3.  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

Review 4.  Current status of imaging biomarkers predicting the biological nature of hepatocellular carcinoma.

Authors:  Norihide Yoneda; Osamu Matsui; Satoshi Kobayashi; Azusa Kitao; Kazuto Kozaka; Dai Inoue; Kotaro Yoshida; Tetsuya Minami; Wataru Koda; Toshifumi Gabata
Journal:  Jpn J Radiol       Date:  2019-02-02       Impact factor: 2.374

5.  Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma Using Quantitative Image Analysis.

Authors:  Jian Zheng; Jayasree Chakraborty; William C Chapman; Scott Gerst; Mithat Gonen; Linda M Pak; William R Jarnagin; Ronald P DeMatteo; Richard K G Do; Amber L Simpson
Journal:  J Am Coll Surg       Date:  2017-09-21       Impact factor: 6.113

6.  Ultrasound-based radiomics score: a potential biomarker for the prediction of microvascular invasion in hepatocellular carcinoma.

Authors:  Hang-Tong Hu; Zhu Wang; Xiao-Wen Huang; Shu-Ling Chen; Xin Zheng; Si-Min Ruan; Xiao-Yan Xie; Ming-de Lu; Jie Yu; Jie Tian; Ping Liang; Wei Wang; Ming Kuang
Journal:  Eur Radiol       Date:  2018-11-12       Impact factor: 5.315

7.  Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT.

Authors:  Xiaohong Ma; Jingwei Wei; Dongsheng Gu; Yongjian Zhu; Bing Feng; Meng Liang; Shuang Wang; Xinming Zhao; Jie Tian
Journal:  Eur Radiol       Date:  2019-02-15       Impact factor: 5.315

Review 8.  Hepatocellular Carcinoma: Current Imaging Modalities for Diagnosis and Prognosis.

Authors:  Maxime Ronot; Yvonne Purcell; Valérie Vilgrain
Journal:  Dig Dis Sci       Date:  2019-04       Impact factor: 3.199

9.  Study on the diagnosis of small hepatocellular carcinoma caused by hepatitis B cirrhosis via multi-slice spiral CT and MRI.

Authors:  Mei Wang; Congxin Wei; Zhaojuan Shi; Jianzhong Zhu
Journal:  Oncol Lett       Date:  2017-10-31       Impact factor: 2.967

10.  Magnetic resonance imaging with gadoxetic acid for local tumour progression after radiofrequency ablation in patients with hepatocellular carcinoma.

Authors:  Tae Wook Kang; Hyunchul Rhim; Jisun Lee; Kyoung Doo Song; Min Woo Lee; Young-Sun Kim; Hyo Keun Lim; Kyung Mi Jang; Seong Hyun Kim; Geum-Youn Gwak; Sin-Ho Jung
Journal:  Eur Radiol       Date:  2016-01-08       Impact factor: 5.315

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