Objective: To investigate the feasibility of contrast-enhanced ultrasound quantitative assessment in the dynamic assessment of hepatic ischemia-reperfusion injury (HIRI) in mice

and to observe the changes of various parameters of contrast-enhanced ultrasound in different reperfusion times of HIRI. Methods: 49 SD mice were randomly divided into the sham operation group and the 0.5h

3h

6h

12h

24h

48h groups after HIRI

a total of 7 groups. Establishment of HIRI model in mice

use contrast-enhanced ultrasound to observe the liver perfusion in each group

and then use post-processing software to obtain peak intensity (PI)

area under the curve (AUC)

peak time (TP)

mean transit time (MTT)

and the changes were observed. The inferior vena cava blood was taken to detect the levels of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) in each sample. The mice were sacrificed and their liver tissues were taken for histopathological examination. Pearson correlation analysis was used to analyze the correlation between each parameter of contrast-enhanced ultrasound and serum ALT and AST levels. Results: The PI and AUC levels in the HIRI 0.5h

3h

6h

12h

24h

48h group were lower than the sham operation group

and the TP and MTT levels were higher than the sham operation group

and the differences were statistically significant (P<0.05). The ALT and AST levels in the HIRI 0.5h

3h

6h

12h

24h

48h group were higher than those of the sham operation group

and the differences were statistically significant (P<0.05). Pearson correlation analysis showed that AUC levels were negatively correlated with serum ALT and AST levels (r=-0.754

r=-0.808

P<0.001). There was a positive correlation between TP levels and serum ALT and AST levels (r=0.731

r=0.709

P<0.001). There was a positive correlation between MTT level and serum AST level (r=0.718

P<0.001). Conclusion: Contrast-enhanced ultrasound quantitative analysis of various parameters can accurately assess the changes of HIRI microcirculation in mice in real time to reflect its pathological changes

which is of great significance to the evaluation of HIRI. Among them

AUC is the best index for evaluating HIRI among the parameters of contrast-enhanced ultrasound.