Background: Diffusion tensor imaging (DTI) is mainly used for detecting white matter fiber in the brain. DTI was applied to assess fiber in liver disorders in previous studies. However, the data obtained have been insufficient in determining if DTI can be used to exactly stage chronic hepatitis. This study assessed the value of DTI for staging of liver fibrosis (F), necroinflammatory activity (A) and steatosis (S) with chronic hepatitis in rats. Methods: Seventy male Sprague-Dawley rats were divided into a control group(n = 10) and an experimental group(n = 60). The rat models of chronic hepatitis were established by abdominal subcutaneous injections of 40% CCl 4. All of the rats underwent 3.0 T MRI. Regions of interest (ROIs) were subjected to DTI to estimate the MR parameters (rADC value and FA value). Histopathology was used as the reference standard. Multiple linear regression was used to analyze the associations between the MR parameters and pathology. The differences in the MR parameters among the pathological stages were evaluated by MANOVA or ANOVA. The LSD test was used to test for differences between each pair of groups. ROC analysis was also performed. Results: The count of each pathology was as follows: F0
Objective:
While liver biopsy is the golden standard for liver-fibrosis diagnosis, it’s also invasive and has many
limitations. Non-invasive techniques such as magnetic resonance imaging (MRI) need to be further developed for liver
fibrosis staging. This study aimed to evaluate the diagnostic accuracy of gadolinium ethoxybenzyl diethylenetriamine
penta-acetic acid (Gd-EOB-DTPA)-enhanced MRI for liver fibrosis through systematic review and meta-analysis.
Methods:
This study comprehensively searched relevant article in PubMed, Embase, and the Cochrane Library published
from 2004 to 2018 to find studies analyzing the diagnostic accuracy of Gd-EOB-DTPA-enhanced MRI for liver fibrosis.
Two reviewers independently screened the retrieved articles, extracted the required data from the included studies, and
evaluated the methodological quality of the studies. The pooled sensitivity, specificity, positive likelihood ratio, negative
likelihood ratio, diagnostic odds ratio, and summary receiver operating characteristics (SROC) curve were assessed.
Results:
This study finally included 16 studies (n = 1,599) and selected a random-effects model based on the results of the
I
2 statistic to combine them. The areas under the SROC curve for the detection of F1 or greater, F2 or greater, F3 or
greater, or F4 liver fibrosis were 0.8669, 0.8399, 0.8481, and 0.8858, respectively.
Conclusion:
Gd-EOB-DTPA-enhanced MRI showed a good diagnostic performance for staging liver fibrosis, especially
for F4 liver fibrosis.
AbstractBackground
Diffusion tensor imaging (DTI) is mainly used for detecting white matter fiber in the brain. From this, DTI has been applied to assess fiber in liver disorders by prior studies. But non-sufficient data has been obtained if DTI could be used for exactly staging chronic hepatitis. This study is to assess the value of DTI for staging of liver fibrosis (F), necroinflammatory activity (A), and steatosis (S) of chronic hepatitis in rats.
Methods
Seventy male Sprague-Dawley rats were divided into control group(n = 10) and experimental group(n = 60). The rat models of chronic hepatitis were established by abdominal subcutaneous injections of 40% CCl4. All rats underwent 3.0T MRI. ROIs were placed on DTI to estimate MR parameters (rADC value and FA value). Histopathology was the reference standard. Multiple linear regression was used to analyze the association between MR parameters and pathology. The differences in rADC value and FA value among pathological stages were evaluated by MANOVA or ANOVA. LSD was used to test the differences between each two groups. ROC analysis was performed.
Results
The numbers of each pathology were as follows: F0(n = 15), F1(n = 11), F2(n = 6), F3(n = 9), F4(n = 6); A0(n = 8), A1(n = 16), A2(n = 16), A3(n = 7); S0(n = 10), S1(n = 7), S2(n = 3), S3(n = 11), S4(n = 16). The rADC value had a negative correlation with liver fibrosis (r=-0.392, P = 0.008) and inflammation (r=-0.359, P = 0.015). FA value had a positive correlation with fibrosis (r = 0.409, P = 0.005). Significant differences were found in FA value between F4 and F0 ~ F3 (P = 0.03), while no significant differences among F0 ~ F3 were found (P > 0.05). AUC of FA value in differentiating F4 from F0 ~ F3 was 0.909(p < 0.001) with 83.3% Sensitivity, 85.4% specificity when the FA value was at the cut-off of 588.089(× 10− 6mm2/s).
Conclusion
FA value for DTI can distinguish early cirrhosis from normal, mild and moderate liver fibrosis.
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