Literature DB >> 34532081

Magnetic resonance elastography can predict the development of hepatocellular carcinoma: a meta-analysis and systematic review.

Lianglong Wu1, Junying Bi1, Liangjin Liu1, Yanni Zeng1.   

Abstract

BACKGROUND: Hepatocellular carcinoma (HCC) has become the third leading cause of cancer-related death worldwide, and its incidence rate is increasing. Magnetic resonance elastography (MRE) can indirectly realize the accurate non-invasive evaluation of liver reserve function in HCC patients. In this study, we aimed to evaluate the effectiveness of MRE in the diagnosis of HCC patients.
METHODS: We searched globally-recognized electronic databases, such as PubMed, EMBASE, China National Knowledge Infrastructure, and Cochrane Central, for relevant literature on MRE prediction of HCC. The diagnostic performance of all studies was quantitatively summarized using a bivariate random effects model including heterogeneity analysis, receiver operating characteristic (ROC) curve, and bias determination.
RESULTS: The diagnostic accuracy of MRE for HCC was based on 1,735 patients. The sensitivity (31-100%) was lower than the specificity (81-94%). The overall sensitivity was 64% [95% confidence interval (CI): 46-79%; I2=92.44%], and the overall specificity was 85% (95% CI: 82-88%; I2=67.86%). Limited publication bias was observed in this study, and the sensitivity analysis showed that the study was robust. DISCUSSION: The results of our meta-analysis show that MRE has moderate sensitivity and excellent specificity in the detection of HCC. MRE can be an effective diagnostic tool for HCC and can provide strong support for the selection of clinical treatment methods and prognostic judgment. 2021 Journal of Gastrointestinal Oncology. All rights reserved.

Entities:  

Keywords:  Magnetic resonance elastography (MRE); hepatocellular carcinoma (HCC); meta-analysis

Year:  2021        PMID: 34532081      PMCID: PMC8421890          DOI: 10.21037/jgo-21-196

Source DB:  PubMed          Journal:  J Gastrointest Oncol        ISSN: 2078-6891


  31 in total

1.  3D MR Elastography of Hepatocellular Carcinomas as a Potential Biomarker for Predicting Tumor Recurrence.

Authors:  Jin Wang; Qungang Shan; Yong Liu; Hao Yang; Sichi Kuang; Bingjun He; Yao Zhang; Jingbiao Chen; Tianhui Zhang; Kevin J Glaser; Cairong Zhu; Jun Chen; Meng Yin; Sudhakar K Venkatesh; Richard L Ehman
Journal:  J Magn Reson Imaging       Date:  2018-09-08       Impact factor: 4.813

2.  Can LI-RADS imaging features at gadoxetic acid-enhanced MRI predict aggressive features on pathology of single hepatocellular carcinoma?

Authors:  Hong Wei; Hanyu Jiang; Xijiao Liu; Yun Qin; Tianying Zheng; Siyun Liu; Xin Zhang; Bin Song
Journal:  Eur J Radiol       Date:  2020-09-28       Impact factor: 3.528

3.  Trends in net survival from liver cancer in six European Latin countries: results from the SUDCAN population-based study.

Authors:  Stefano Ferretti; Nadine Bossard; Florence Binder-Fouchard; Jean Faivre; Andrea Bordoni; Patrizia Biavati; Antonio Frassoldati
Journal:  Eur J Cancer Prev       Date:  2017-01       Impact factor: 2.497

4.  Value of MR elastography for the preoperative estimation of liver regeneration capacity in patients with hepatocellular carcinoma.

Authors:  Siwon Jang; Jeong Min Lee; Dong Ho Lee; Ijin Joo; Jeong Hee Yoon; Won Chang; Joon Koo Han
Journal:  J Magn Reson Imaging       Date:  2016-11-16       Impact factor: 4.813

5.  Author Correction: Inflammation-induced IgA+ cells dismantle anti-liver cancer immunity.

Authors:  Shabnam Shalapour; Xue-Jia Lin; Ingmar N Bastian; John Brain; Alastair D Burt; Alexander A Aksenov; Alison F Vrbanac; Weihua Li; Andres Perkins; Takaji Matsutani; Zhenyu Zhong; Debanjan Dhar; Jose A Navas-Molina; Jun Xu; Rohit Loomba; Michael Downes; Ruth T Yu; Ronald M Evans; Pieter C Dorrestein; Rob Knight; Christopher Benner; Quentin M Anstee; Michael Karin
Journal:  Nature       Date:  2018-09       Impact factor: 49.962

6.  [HBV infection downregulated Mre11 expression and induced genome instability].

Authors:  Yu Liu; Ningbo Hou; Fan Zhao; Yanhong Zhang; Jing Yuan; Xiang He; Hui Zhong
Journal:  Wei Sheng Wu Xue Bao       Date:  2008-08

7.  Direct activation of the ATM protein kinase by the Mre11/Rad50/Nbs1 complex.

Authors:  Ji-Hoon Lee; Tanya T Paull
Journal:  Science       Date:  2004-04-02       Impact factor: 47.728

8.  Hepatocellular carcinoma: preoperative gadoxetic acid-enhanced MR imaging can predict early recurrence after curative resection using image features and texture analysis.

Authors:  Su Joa Ahn; Jung Hoon Kim; Sang Joon Park; Seung Tack Kim; Joon Koo Han
Journal:  Abdom Radiol (NY)       Date:  2019-02

9.  Cryptotanshinone enhances the effect of Arsenic trioxide in treating liver cancer cell by inducing apoptosis through downregulating phosphorylated- STAT3 in vitro and in vivo.

Authors:  Li Shen; Guangshun Zhang; Zhaohuan Lou; Guanhua Xu; Guangji Zhang
Journal:  BMC Complement Altern Med       Date:  2017-02-10       Impact factor: 3.659

10.  Value of T1 mapping on gadoxetic acid-enhanced MRI for microvascular invasion of hepatocellular carcinoma: a retrospective study.

Authors:  Chenyi Rao; Xinquan Wang; Minda Li; Guofeng Zhou; Hongmei Gu
Journal:  BMC Med Imaging       Date:  2020-04-28       Impact factor: 1.930

View more
  1 in total

1.  Commentary: "Magnetic resonance elastography can predict the development of hepatocellular carcinoma: a meta-analysis and systematic review".

Authors:  Jiangfeng Wu; Yunpeng Li; Zehao Hu
Journal:  J Gastrointest Oncol       Date:  2021-12
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.