OBJECTIVE: To explore the feasibility and clinical value of CT-based arterial enhancement fraction (AEF) for evaluating liver function in liver cirrhosis patients. Methods: Fifty-two patients with liver cirrhosis (Child-Pugh A, B, and C group included 13, 20, and 19 patients, respectively) and 17 patients without liver diseases as control were prospectively enrolled, respectively. All individuals underwent three-phase hepatic CT, and the color mapping of AEF were obtained in CT kinetics software, as well as the corresponding parameters, i.e., hepatic AEF (HAEF) and the ratio of HAEF to spleen AEF (H/S). The AEF parameters were compared among different groups, and the area under the receiver operating characteristic curve (AUROC) was calculated. The Spearman correlation analysis was performed between the AEF parameters and model for end-stage liver disease (MELD) score in liver cirrhosis patients. Results: The interobserver agreement of HAEF and H/S were perfect, and the intraclass correlation coefficient (ICC) were 0.918 (95% CI 0.871 to 0.949), 0.946 (95% CI 0.915 to 0.966), respectively. The HAEF and H/S among those groups were significant different (both P<0.001), and they elevated with the increase of Child-Pugh classification in liver cirrhosis patients (all P<0.05, except the H/S between Child-Pugh A and B). In all patients with liver cirrhosis, the AUROC of HAEF and H/S were 0.933 and 0.821 for Child-Pugh A, and were 0.925 and 0.915 for Child-Pugh C, respectively. The HAEF and H/S of patients with liver cirrhosis were significantly correlated with the MELD score (HAEF: r=0.752, P<0.001; H/S: r=0.676, P<0.001). Conclusion: CT-based AEF parameters including HAEF and H/S are closely associated with the severity and prognosis of patients with liver cirrhosis, which have the potential to estimate the liver function in liver cirrhosis patients quantitatively and effectively.
OBJECTIVE: To explore the feasibility and clinical value of CT-based arterial enhancement fraction (AEF) for evaluating liver function in liver cirrhosispatients. Methods: Fifty-two patients with liver cirrhosis (Child-Pugh A, B, and C group included 13, 20, and 19 patients, respectively) and 17 patients without liver diseases as control were prospectively enrolled, respectively. All individuals underwent three-phase hepatic CT, and the color mapping of AEF were obtained in CT kinetics software, as well as the corresponding parameters, i.e., hepatic AEF (HAEF) and the ratio of HAEF to spleen AEF (H/S). The AEF parameters were compared among different groups, and the area under the receiver operating characteristic curve (AUROC) was calculated. The Spearman correlation analysis was performed between the AEF parameters and model for end-stage liver disease (MELD) score in liver cirrhosispatients. Results: The interobserver agreement of HAEF and H/S were perfect, and the intraclass correlation coefficient (ICC) were 0.918 (95% CI 0.871 to 0.949), 0.946 (95% CI 0.915 to 0.966), respectively. The HAEF and H/S among those groups were significant different (both P<0.001), and they elevated with the increase of Child-Pugh classification in liver cirrhosispatients (all P<0.05, except the H/S between Child-Pugh A and B). In all patients with liver cirrhosis, the AUROC of HAEF and H/S were 0.933 and 0.821 for Child-Pugh A, and were 0.925 and 0.915 for Child-Pugh C, respectively. The HAEF and H/S of patients with liver cirrhosis were significantly correlated with the MELD score (HAEF: r=0.752, P<0.001; H/S: r=0.676, P<0.001). Conclusion: CT-based AEF parameters including HAEF and H/S are closely associated with the severity and prognosis of patients with liver cirrhosis, which have the potential to estimate the liver function in liver cirrhosispatients quantitatively and effectively.