Literature DB >> 28153667

Quantitative analysis of gadoxetic acid-enhanced magnetic resonance imaging predicts histological grade of hepatocellular carcinoma.

Hong-Fei Tong1, Hong-Bo Liang2, Zhi-Kang Mo2, Tian-Pei Guan2, Jian Yang2, Chi-Hua Fang3.   

Abstract

OBJECTIVE: To confirm the histological grade of hepatocellular carcinoma (HCC) by gadoxetic acid-enhanced MRI.
METHODS: Ninety-five HCC patients underwent gadoxetic acid-enhanced MRI before surgical intervention. The correlations among the signal absolute enhancement, contrast enhancement ratio (CER) and tumor histological grade were analyzed.
RESULTS: The correlation between CER of tumor-to-liver and the grades of tumor differentiation is the most significant negative. The k-value for the CER of tumor-to-liver and histopathologic analysis is 0.62, which gives evidence of good agreement.
CONCLUSION: The quantitative analysis of gadoxetic acid-enhanced MRI can predict the histological grades of small HCCs.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Gd-EOB-DTPA; Hepatocellular carcinoma; Histological grade; MRI; Quantitative analysis

Mesh:

Substances:

Year:  2017        PMID: 28153667     DOI: 10.1016/j.clinimag.2016.12.009

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  5 in total

Review 1.  Major and ancillary magnetic resonance features of LI-RADS to assess HCC: an overview and update.

Authors:  Vincenza Granata; Roberta Fusco; Antonio Avallone; Orlando Catalano; Francesco Filice; Maddalena Leongito; Raffaele Palaia; Francesco Izzo; Antonella Petrillo
Journal:  Infect Agent Cancer       Date:  2017-04-28       Impact factor: 2.965

2.  Comparison of gadoxetic acid versus gadopentetate dimeglumine for the detection of hepatocellular carcinoma at 1.5 T using the liver imaging reporting and data system (LI-RADS v.2017).

Authors:  Ying Ding; Sheng-Xiang Rao; Wen-Tao Wang; Cai-Zhong Chen; Ren-Chen Li; Mengsu Zeng
Journal:  Cancer Imaging       Date:  2018-12-07       Impact factor: 3.909

3.  Preoperative prediction of hepatocellular carcinoma with highly aggressive characteristics using quantitative parameters derived from hepatobiliary phase MR images.

Authors:  Zheng Ye; Likun Cao; Yi Wei; Jie Chen; Zhen Zhang; Shan Yao; Ting Duan; Bin Song
Journal:  Ann Transl Med       Date:  2020-02

4.  Critical analysis of the major and ancillary imaging features of LI-RADS on 127 proven HCCs evaluated with functional and morphological MRI: Lights and shadows.

Authors:  Vincenza Granata; Roberta Fusco; Antonio Avallone; Francesco Filice; Fabiana Tatangelo; Mauro Piccirillo; Roberto Grassi; Francesco Izzo; Antonella Petrillo
Journal:  Oncotarget       Date:  2017-04-19

Review 5.  Noninvasive imaging of hepatocellular carcinoma: From diagnosis to prognosis.

Authors:  Han-Yu Jiang; Jie Chen; Chun-Chao Xia; Li-Kun Cao; Ting Duan; Bin Song
Journal:  World J Gastroenterol       Date:  2018-06-14       Impact factor: 5.742

  5 in total

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