Literature DB >> 26497954

Assessment of liver fibrosis in rats by MRI with apparent diffusion coefficient and T1 relaxation time in the rotating frame.

Genwen Hu1,2, Xuhui Zhang2, Wen Liang2, Xing Zhong3, Queenie Chan4, Xiaoying Lin1, Ting Lin2, Yufa Li5, Xianyue Quan2.   

Abstract

PURPOSE: To explore the value of T1 relaxation times in the rotating frame (T1 ρ or T1 rho) for evaluating liver fibrosis stage, compared to apparent diffusion coefficients (ADCs).
MATERIALS AND METHODS: Liver fibrosis in model rats (n = 50) was produced by carbon tetrachloride (CCl4 ) injection. Five rats died during the experiment. Surviving model rats (n = 45) and controls (n = 15) were subjected to 3.0T MRI and the ADCs (b-values: 0, 800 s/mm(2) ) and T1 ρ values were determined. Liver fibrosis stage (F0-F4) was defined based on METAVIR scoring. Nonparametric statistical methods and receiver operating characteristic (ROC) curve analyses were employed to determine diagnostic accuracy.
RESULTS: Mean ADC and T1 ρ associated negatively (r = -0.732 P < 0.001) and positively (r = 0.863 P < 0.001), respectively, with severity of fibrosis stage. Analysis of ROC curves for fibrosis staging showed that the area under the curve (AUC) for T1 ρ (stage F0 vs. F1-F4 = 0.976, stage F0-F1 vs. F2-F4 = 0.920, stage F0-F2 vs. F3-F4 = 0.938, and stage F0-F3 vs. F4 = 0.931) was larger than that for ADCs (0.917, 0.924, 0.842, and 0.781, respectively).
CONCLUSION: ADC and T1 ρ values correlate with liver fibrosis stage. The performance of the T1 ρ parameter was superior to that of the ADC parameter in the differentiation of liver fibrosis stages in a CCl4 rat model.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  T1rho; apparent diffusion coefficient; carbon tetrachloride; liver fibrosis; magnetic resonance imaging

Mesh:

Substances:

Year:  2015        PMID: 26497954     DOI: 10.1002/jmri.25084

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  7 in total

1.  Characterizing Fibrosis and Inflammation in a Partial Bile Duct Ligation Mouse Model by Multiparametric Magnetic Resonance Imaging.

Authors:  Jia-Yi Liu; Ye-Yu Cai; Zhu-Yuan Ding; Zi-Yi Zhou; Min Lv; Huan Liu; Li-Yun Zheng; Lan Li; Yong-Heng Luo; En-Hua Xiao
Journal:  J Magn Reson Imaging       Date:  2021-09-21       Impact factor: 5.119

Review 2.  Putting it all together: established and emerging MRI techniques for detecting and measuring liver fibrosis.

Authors:  Suraj D Serai; Andrew T Trout; Alexander Miethke; Eric Diaz; Stavra A Xanthakos; Jonathan R Dillman
Journal:  Pediatr Radiol       Date:  2018-08-04

3.  Collagen deposition in the liver is strongly and positively associated with T1rho elongation while fat deposition is associated with T1rho shortening: an experimental study of methionine and choline-deficient (MCD) diet rat model.

Authors:  Feng Zhao; Nan Zhou; Ji-Li Wang; Hua Zhou; Li-Qiu Zou; Wei-Xiang Zhong; Jian He; Cun-Jing Zheng; Sen-Xiang Yan; Yì Xiáng J Wáng
Journal:  Quant Imaging Med Surg       Date:  2020-12

4.  Combined morphological and functional liver MRI using spin-lattice relaxation in the rotating frame (T1ρ) in conjunction with Gadoxetic Acid-enhanced MRI.

Authors:  Jonas D Stief; Moritz Haase; Lutz Lüdemann; Dorothea Theilig; Moritz Schmelzle; Bernd Hamm; Timm Denecke; Dominik Geisel
Journal:  Sci Rep       Date:  2019-02-14       Impact factor: 4.379

5.  Using IVIM-MRI and R2⁎ Mapping to Differentiate Early Stage Liver Fibrosis in a Rat Model of Radiation-Induced Liver Fibrosis.

Authors:  Jianye Liang; Xiubao Song; Zeyu Xiao; Hanwei Chen; Changzheng Shi; Liangping Luo
Journal:  Biomed Res Int       Date:  2018-12-03       Impact factor: 3.411

6.  Liver fibrosis detection and staging: a comparative study of T1ρ MR imaging and 2D real-time shear-wave elastography.

Authors:  Ruo-Kun Li; Xin-Pin Ren; Fu-Hua Yan; Jin-Wei Qiang; Hui-Min Lin; Hong-Fei Zhao; Wei-Bo Chen
Journal:  Abdom Radiol (NY)       Date:  2018-07

7.  A predictive model of radiation-related fibrosis based on the radiomic features of magnetic resonance imaging and computed tomography.

Authors:  Jian Wang; Rongjie Liu; Yu Zhao; Chonnipa Nantavithya; Hesham Elhalawani; Hongtu Zhu; Abdallah Sherif Radwan Mohamed; Clifton David Fuller; Danita Kannarunimit; Pei Yang; Hong Zhu
Journal:  Transl Cancer Res       Date:  2020-08       Impact factor: 1.241

  7 in total

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