The Values Of MRI And Dual-source CT In Evaluating Rabbit Liver Fibrosis

Objective: Rabbit models of liver fibrosis were performed multi-b value diffusion weighted imaging, perfusion weighted imaging, dual source CT perfusion imaging(CTP) and dual energy scan, explore the evaluation of liver fibrosis stage, and to find a sensitive indicator to judge the severity of hepatic fibrosis. Methods: 1) 70 New Zealand white rabbits, the experimental group of 60 rabbits, liver fibrosis model was established by intraperitoneal injection of carbon tetrachloride, 10 rabbits in the control group, intraperitoneal injection of saline. 2) 8-10 rabbits from the experimental group and 2 rabbits from the control group underwent multi-b value diffusion weighted imaging, perfusion weighted imaging, perfusion imaging with dual source CT and dual energy scanning in 4, 6, 8, 10, 12 weeks respectively. 3) ADClow, ADChigh, ADC10 b and ADCperf value were measured in MRI diffusion weighted imaging. 4) MRI perfusion images were observed and recorded the time to peak, wash-in rate and wash-out rate. 5) CT perfusion image acquisition perfusion parameters, including arterial liver perfusion(ALP), portal venous perfusion(PVP), total hepatic perfusion volume(THP), hepatic perfusion index(HPI) and ?H values. 6) Blood samples were used to detect serum markers of liver fibrosis. 7) 4 hours after scanning, anesthesia death, according the pathological examination to determine stage. Analysis of the relationship between the parameters and the stage of fibrosis. Results: 1) With the increase of the degree of liver fibrosis, ADC10 b and ADCperf values were decreased, the difference was statistically significant(P<0.01), ADCperf predicted the area under the curve of ?S2 stage was the largest. ADC10 b predicted the area under the curve of ?S1 stage is the largest. ADCperf value and ADC10 b value were negatively correlated with the severity of liver fibrosis, r=-0.720,-0.685 respectively, which indicated that ADCperf value and ADC10 b value had the ability to quantify the severity of liver fibrosis. 2) With the increase of the degree of liver fibrosis, the time to peak was gradually increasing, wash-in rate and wash-out rate decreased gradually. The time to peak was positively correlated with the severity of hepatic fibrosis, and r=0.863. Wash-in rate and wash-out rate were negatively correlated with the severity of hepatic fibrosis, and r=-0.867 and-0.878 respectively. ROC curves showed the time to peak predicted the area under the curve of ?S3 stage is the largest, wash-in rate and wash-out rate predicted the area under the curve of ?S2 stage is the largest. 3) With the increase of the degree of liver fibrosis.HPI increased gradually, PVP decreased with the degree of liver fibrosis. PVP negatively correlated with the severity of liver fibrosis, HPI positively correlated with the severity of liver fibrosis, r=-0.589, 0.652 respectively. The ROC curve showed that PVP predicted the area under the curve of ?S2 stage is the largest, HPI predicted the area under the curve of ?S2 stage is the largest. Dual energy scanning, ?H and stage of liver fibrosis was not statistically significant. 4) HA, PC?, ?-C and LN were gradually increased with the aggravation of liver fibrosis, serological indexes of HA, ?-C and the degree of liver fibrosis is closely related, r=0.75, 0.62. Conclusion: 1) ADCperf can reflect the perfusion change of liver fibrosis stages. 2) MR perfusion parameters and the stage of liver fibrosis have a good correlation, which can reflect the perfusion changes of liver fibrosis. 3) HPI and PVP can reflect the perfusion changes of liver fibrosis. 4) Serum markers has a little relationship with the liver fibrosis.