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• Original Article •
Evaluation of liver fibrosis in rats by magnetic resonance intravoxel incoherence imaging
WANG Linping  PEI Caixia  LIU Zhao  LIU Haifeng  ZHANG Pengfei  TIAN Yu  ZHENG Yalan  WANG Shaoyu  LEI Junqiang 

Cite this article as: Wang LP, Pei CX, Liu Z, et al. Evaluation of liver fibrosis in rats by magnetic resonance intravoxel incoherence imaging. Chin J Magn Reson Imaging, 2019, 10(5): 371-376. DOI:10.12015/issn.1674-8034.2019.05.011.


[Abstract] Objective: To evaluate the diagnostic value of intravoxel incoherent motion (IVIM) in the evaluation of liver fibrosis in rats.Materials and Methods: SPF SD rats were randomly divided into experimental group (55) and control group (11). The experimental group was established with hepatic fibrosis model. From the 2nd to the 12th week, 5 rats in the experimental group and 1 in the control group were randomly selected for MR scanning, and the METAVIR stage for diagnosis and diffusion weighted imaging (DWI) and IVIM parameter values were measured during the same period. SPSS 22.0 was used to analyze the correlation, diagnosis, and staging value of DWI and IVIM parameters with liver fibrosis stages.Results: (1) Four deaths and poor quality of 6 scanned images were excluded during modeling in the experimental group, and 45 experimental mice were eventually included. The pathological results: F1 to F4 were 8, 13, 14 and 10 respectively, and 11 of the control group were F0. (2) ADC, D*, and f were lower in the experimental group than in the control group (P<0.01). Spearman analysis showed that ADC, D, f, and D* were negatively correlated with liver fibrosis levels (P<0.05). (3) The ADC, D, f, D* values decreased with the progression of hepatic fibrosis, and the ADC of F3 and F4 were significantly different. D* of F0 and F1, D* and f of F1 and F2, and D of F3 and F4 were significantly different (P<0.05). The receiver operating characteristic (ROC) curve showed that D* identified F0 and F1—F4, F0—F1 and F2—F4, and F0—F2 and F3—F4 were better than ADC, D and f. ADC identified F0—F3 and F4 as the most efficient.Conclusions: D* discriminates F0—F3 with the highest efficiency, and ADC discriminates F0—F3 and F4 with the highest efficacy. D*, ADC have liver fibrosis staging application value.
[Keywords] hepatic fibrosis；magnetic resonance imaging；disease models, animal

WANG Linping The First School of Clinical Medicine, Lanzhou University, Lanzhou 730030, China

PEI Caixia Department of Radiology, First Hospital of Lanzhou University, Gansu International Cooperation Base of Precision Image Collaborative Innovation, Lanzhou 730030, China

LIU Zhao Department of Radiology, First Hospital of Lanzhou University, Gansu International Cooperation Base of Precision Image Collaborative Innovation, Lanzhou 730030, China

LIU Haifeng Department of Radiology, First Hospital of Lanzhou University, Gansu International Cooperation Base of Precision Image Collaborative Innovation, Lanzhou 730030, China

ZHANG Pengfei The First School of Clinical Medicine, Lanzhou University, Lanzhou 730030, China

TIAN Yu The First School of Clinical Medicine, Lanzhou University, Lanzhou 730030, China

ZHENG Yalan The First School of Clinical Medicine, Lanzhou University, Lanzhou 730030, China

WANG Shaoyu Magnetic Resonance Division Simens Medical Systems LTD Health Industry in Gansu Province, Shanghai 200000, China

LEI Junqiang* Department of Radiology, First Hospital of Lanzhou University, Gansu International Cooperation Base of Precision Image Collaborative Innovation, Lanzhou 730030, China

*Correspondence to: Lei JQ, E-mail: leijq1990@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This article was funded by the Gansu Provincial Health Industry Research Fund Project No. GSWSKY2016-26 Lanzhou University First Clinical Medical College's Excellence Program No. 20180060056, 20180060060
Received  2018-09-06
Accepted  2019-01-20
DOI: 10.12015/issn.1674-8034.2019.05.011
Cite this article as: Wang LP, Pei CX, Liu Z, et al. Evaluation of liver fibrosis in rats by magnetic resonance intravoxel incoherence imaging. Chin J Magn Reson Imaging, 2019, 10(5): 371-376. DOI:10.12015/issn.1674-8034.2019.05.011.

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