Literature DB >> 27904692

Magnetic resonance elastography in a rabbit model of liver fibrosis: a 3-T longitudinal validation for clinical translation.

Liqiu Zou1, Jinzhao Jiang2, Wenxin Zhong1, Chunrong Wang1, Wei Xing3, Zhuoli Zhang4.   

Abstract

This study aimed to determine the relationships between magnetic resonance elastography (MRE) imaging biomarkers and the stages of liver fibrosis in a rabbit model of liver fibrosis, a longitudinal validation for clinical translation. Liver fibrosis was induced in 38 male New Zealand rabbits by weekly subcutaneous injections of 0.1 ml 50% carbon tetrachloride oily solution per kilogram of body weight for 4 to 10 weeks to produced varying degrees of liver fibrosis. The values for the liver stiffness (LS) MRE imaging biomarkers were measured at different stages of liver fibrosis. Masson trichrome staining of liver tissue was used to identify collagen tissue. Among the 38 rabbits, the histological studies showed liver fibrosis stage 1 (F1, n = 11), liver fibrosis stage 2 (F2, n = 8), liver fibrosis stage 3 (F3, n = 7), and liver fibrosis stage 4 (F4, liver cirrhosis, n = 12). Additional healthy rabbits served as controls (F0, n = 15). During liver fibrosis progression, the mean LS values increased during liver fibrosis progression. There were significant differences in LS values between (F0 and F1) and (F2 and F3), (F2 and F3) and (F4), and (F0 and F1) and (F4), which are three clinically relevant fibrosis groups. There was a high correlation between the LS values measured by MRE and the stages of liver fibrosis determined by histology (R2 = 0.67, P < 0.001). MRE imaging has the potential to serve as a noninvasive, unenhanced imaging technique for liver fibrosis diagnosis and staging.

Entities:  

Keywords:  Liver fibrosis; diagnosis; imaging biomarker; magnetic resonance elastography

Year:  2016        PMID: 27904692      PMCID: PMC5126334     

Source DB:  PubMed          Journal:  Am J Transl Res            Impact factor:   4.060


  41 in total

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Journal:  Eur Radiol       Date:  2015-08-28       Impact factor: 5.315

Review 2.  Ultrasound Elastography Is Useful for Evaluation of Liver Fibrosis in Children-A Systematic Review.

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Journal:  J Pediatr Gastroenterol Nutr       Date:  2016-10       Impact factor: 2.839

3.  Elastography Assessment of Liver Fibrosis: Society of Radiologists in Ultrasound Consensus Conference Statement.

Authors:  Richard G Barr; Giovanna Ferraioli; Mark L Palmeri; Zachary D Goodman; Guadalupe Garcia-Tsao; Jonathan Rubin; Brian Garra; Robert P Myers; Stephanie R Wilson; Deborah Rubens; Deborah Levine
Journal:  Radiology       Date:  2015-06-16       Impact factor: 11.105

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6.  Schizocalyx cuspidatus (A. St.-Hil.) Kainul. & B. Bremer extract improves antioxidant defenses and accelerates the regression of hepatic fibrosis after exposure to carbon tetrachloride in rats.

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Journal:  Nat Prod Res       Date:  2016-02-17       Impact factor: 2.861

7.  Correlation of MR elastography with morphometric quantification of liver fibrosis (Fibro-C-Index) in chronic hepatitis B.

Authors:  Sudhakar K Venkatesh; Shuoyu Xu; Dean Tai; Hanry Yu; Aileen Wee
Journal:  Magn Reson Med       Date:  2013-10-28       Impact factor: 4.668

Review 8.  Non-invasive assessment of liver fibrosis: Between prediction/prevention of outcomes and cost-effectiveness.

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Journal:  World J Gastroenterol       Date:  2016-01-28       Impact factor: 5.742

9.  Assessment of liver fibrosis using pharmacokinetic parameters of dynamic contrast-enhanced magnetic resonance imaging.

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Journal:  J Magn Reson Imaging       Date:  2015-12-28       Impact factor: 4.813

10.  Carbogen gas-challenge BOLD MR imaging in a rat model of diethylnitrosamine-induced liver fibrosis.

Authors:  Ning Jin; Jie Deng; Tamuna Chadashvili; Yue Zhang; Yang Guo; Zhuoli Zhang; Guang-Yu Yang; Reed A Omary; Andrew C Larson
Journal:  Radiology       Date:  2010-01       Impact factor: 11.105

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  1 in total

1.  Gd-EOB-DTPA DCE-MRI biomarkers in a rabbit model of liver fibrosis.

Authors:  Yang Ji; Chuanshan Zhang; Zhe Huang; Xia Wang; Lina Yue; Meimei Gao; Huiling Hu; Qinjun Su; Yuedong Han; Bin Liu; Ding Yang; Zhanliang Su; Zhuoli Zhang
Journal:  Am J Transl Res       Date:  2018-09-15       Impact factor: 4.060

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