Literature DB >> 30927962

MR features based on LI-RADS identify cytokeratin 19 status of hepatocellular carcinomas.

Xin-Xing Hu1, Wen-Tao Wang1, Li Yang1, Zhao-Xia Yang1, He-Yue Liang1, Ying Ding1, Yuan Ji2, Meng-Su Zeng1, Sheng-Xiang Rao3.   

Abstract

OBJECTIVE: To retrospectively evaluate the value of MR features based on Liver Imaging Reporting and Data System (LI-RADS ver.2017) for identifying the status of cytokeratin (CK) 19 expression of HCC before surgery.
METHODS: A total of 201 patients with 207 HCCs who underwent MR imaging were reviewed retrospectively. MR features based on LI-RADS ver.2017 as well as clinical data were compared between CK19-positive (n = 51) and CK19-negative (n = 156) HCCs groups. Potential predictive parameters were identified by univariate and multivariate logistic regression analysis and diagnostic odds ratios (ORs) were recorded.
RESULTS: MR features including targetoid appearance (p = 0.001) was more frequently observed while non-peripheral "washout" (p < 0.0001) and non-rim arterial phase hyper-enhancement (p < 0.0001) were found less frequently in CK19-positive HCCs compared to CK19-negative HCCs. At multivariate analysis, serum alphafetoprotein (AFP)>20 ng/ml (OR = 5.9) and targetoid appearance (OR = 4.2) and non-peripheral "washout" (OR = 0.2) were significant independent predictors of CK19-positive HCCs.
CONCLUSION: Targetoid appearance and absence non-peripheral "washout" combined with elevated AFP were useful for differentiating CK19-positive HCCs from CK19-negative HCC.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cytokeratin 19; Hepatocellular carcinoma; Magnetic resonance imaging

Mesh:

Substances:

Year:  2019        PMID: 30927962     DOI: 10.1016/j.ejrad.2019.01.036

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  3 in total

1.  MR Features Based on LI-RADS Ver. 2018 Correlated with Cytokeratin 19 Expression in Combined Hepatocellular Carcinoma-Cholangiocarcinoma.

Authors:  Changwu Zhou; Xiaoyan Ni; Xin Lu; Yi Wang; Xianling Qian; Chun Yang; Mengsu Zeng
Journal:  J Hepatocell Carcinoma       Date:  2021-08-21

2.  Noninvasive prediction of HCC with progenitor phenotype based on gadoxetic acid-enhanced MRI.

Authors:  Jie Chen; Zhenru Wu; Chunchao Xia; Hanyu Jiang; Xijiao Liu; Ting Duan; Likun Cao; Zheng Ye; Zhen Zhang; Ling Ma; Bin Song; Yujun Shi
Journal:  Eur Radiol       Date:  2019-09-16       Impact factor: 5.315

3.  Preoperative Prediction of Cytokeratin 19 Expression for Hepatocellular Carcinoma with Deep Learning Radiomics Based on Gadoxetic Acid-Enhanced Magnetic Resonance Imaging.

Authors:  Yuying Chen; Jia Chen; Yu Zhang; Zhi Lin; Meng Wang; Lifei Huang; Mengqi Huang; Mimi Tang; Xiaoqi Zhou; Zhenpeng Peng; Bingsheng Huang; Shi-Ting Feng
Journal:  J Hepatocell Carcinoma       Date:  2021-07-22
  3 in total

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