Intravoxel incoherent motion MRI evaluation for the staging of liver fibrosis in a rat model

2014 ◽  
Vol 42 (2) ◽  
pp. 331-339 ◽  
Author(s):  
Genwen Hu ◽  
Queenie Chan ◽  
Xianyue Quan ◽  
Xuhui Zhang ◽  
Yufa Li ◽  
...  
2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Jianye Liang ◽  
Xiubao Song ◽  
Zeyu Xiao ◽  
Hanwei Chen ◽  
Changzheng Shi ◽  
...  

Rationale and Objectives. To investigate the utility of intravoxel incoherent motion MRI (IVIM-MRI) and R2⁎ mapping in diagnosing early stage liver fibrosis in a radiation-induced rat model. Materials and Methods. Thirty rats were randomly divided into three groups with 10 rats in each group. Liver fibrosis was induced by exposure of right lobe of liver in each animal to 20 Gy of radiation. MRI examination was conducted at baseline, one month, two months, and three months after radiation using T1WI, T2WI, IVIM-DWI, and R2⁎ sequences. The pathological examination included hematoxylin eosin, masson trichrome, and prussian blue staining. D, D⁎, f, and R2⁎ values were measured in both left and right lobes for quantitative analysis. Results. Regarding the surviving 23 rats, eight rats were diagnosed with stage F0, ten with stage F1, and five with stage F2 liver fibrosis using METAVIR Scores. The D values of right lobes decreased (P<0.05), and R2⁎ values increased (P<0.01) significantly as fibrosis levels increased. But there was no statistical difference in D⁎ (P=0.970) and f values (P=0.079). R2⁎ value showed a strong positive correlation (r=0.819, P<0.001), while D value showed a negative correlation with fibrosis stages (r=-0.424, P<0.001). D⁎ (r=0.029, P=0.744) and f values (r=-0.055, P=0.536) were poorly correlated with fibrosis levels. Conclusion. IVIM-MRI and R2⁎ mapping are useful techniques for evaluating the severity of liver fibrosis in a radiation-induced rat model, and R2⁎ value is the most sensitive parameter in detecting early stage fibrosis.


2014 ◽  
Vol 56 (12) ◽  
pp. 1428-1436 ◽  
Author(s):  
Sae Rom Chung ◽  
Seung Soo Lee ◽  
Namkug Kim ◽  
Eun Sil Yu ◽  
Eunki Kim ◽  
...  

2016 ◽  
Vol 44 (3) ◽  
pp. 698-706 ◽  
Author(s):  
Xiang-Ran Cai ◽  
Juan Yu ◽  
Qing-Chun Zhou ◽  
Bin Du ◽  
You-Zhen Feng ◽  
...  

Esophagus ◽  
2021 ◽  
Author(s):  
Ryoya Mizumachi ◽  
Koichi Hayano ◽  
Atsushi Hirata ◽  
Gaku Ohira ◽  
Shunsuke Imanishi ◽  
...  

2020 ◽  
Vol 101 (4) ◽  
pp. 245-255 ◽  
Author(s):  
P.A. Gondim Teixeira ◽  
L. Simon ◽  
F. Sirveaux ◽  
B. Marie ◽  
M. Louis ◽  
...  

2020 ◽  
Vol 51 (4) ◽  
Author(s):  
Sau May Wong ◽  
Walter H. Backes ◽  
Gerhard S. Drenthen ◽  
C. Eleana Zhang ◽  
Paulien H.M. Voorter ◽  
...  

2010 ◽  
Vol 42 ◽  
pp. S36-S37
Author(s):  
F.A. Giannone ◽  
M. Domenicali ◽  
M. Baldassarre ◽  
G. Di Pompo ◽  
M. Bernardi ◽  
...  

2018 ◽  
Vol 31 (6) ◽  
pp. e3922 ◽  
Author(s):  
Alfonso Mastropietro ◽  
Simone Porcelli ◽  
Marcello Cadioli ◽  
Letizia Rasica ◽  
Elisa Scalco ◽  
...  

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