Perfusion computed tomography evaluation of partial hepatic ischemia reperfusion in a rabbit model.

RATIONALE AND OBJECTIVES: An animal model of partial hepatic ischemia/reperfusion injury (I/R) has benefits for decision making and clinical management after liver transplantation or massive hepatic resection. The aim of this study was to evaluate the change in perfusion parameters after partial hepatic I/R in rabbits using multislice computed tomography perfusion imaging. MATERIALS AND METHODS: Thirty rabbits underwent 60 minutes of left hepatic lobar ischemia followed by 0.5, 2, 6, 12, and 24 hours of reperfusion (six rabbits were used for each reperfusion interval). An additional six rabbits served as sham-operated controls. The perfusion indices of hepatic arterial perfusion, hepatic portal perfusion, total liver perfusion, and hepatic perfusion index were measured. Levels of serum aspartate transaminase and alanine transaminase and liver histopathology at different time points were also examined. RESULTS: Hepatic microvascular flow patterns showed heterogeneity in the 6-hour, 12-hour, and 24-hour groups. Computed tomographic perfusion parameters were significantly different between infarcted liver tissue and viable liver tissue. In poorly enhancing tissues in the 6-hour, 12-hour, and 24-hour groups, hepatic portal perfusion and total liver perfusion were lower compared to the sham group, but hepatic arterial perfusion of poorly enhancing tissues significantly increased in the 6-hour group and then decreased slightly from 12 to 24 hours after reperfusion. The hepatic perfusion index was always higher compared to that of the sham group. Hepatic arterial perfusion, hepatic portal perfusion, total liver perfusion, and hepatic perfusion index in the noninfarcted areas decreased slowly from 6 to 24 hours after reperfusion. The levels of alanine transaminase and aspartate transaminase in the I/R groups significantly increased after reperfusion and were correlated with the computed tomographic perfusion indices of infarcted liver tissue. CONCLUSIONS: Computed tomographic perfusion can dynamically monitor the pathologic processes of liver I/R and reveal the underlying microvascular disorder, improving clinical management after liver surgery.