Dual-Energy CT for Diagnosis of Left Atrial Appendage Thrombosis in Patients with Atrial Fibrillation
[Objective]To explore the diagnostic value of dual-energy computed tomography(DECT)for left atrial appendage thrombosis/spontaneous echocardiographic contrast(LAAT/SEC).[Methods]A retrospective analysis was done on 64 non-valvular atrial fibrillation patients who planned to undergo radiofrequency ablation between November 2020 and November 2021.All patients underwent DECT and transesophageal echocardiography(TEE),and then were divided into LAAT/SEC group and non-LAAT/SEC group based on the TEE results.The clinical data and imaging parameters of the two groups were compared and analyzed.Univariate and multivariate logistic regression analyses were performed to determine the independent risk factors for LAAT/SEC,and a prediction model was constructed.[Results]A total of 64 patients with atrial fibrillation were enrolled in this study,including 42 non-LAAT/SEC patients and 22 LAAT/SEC patients.There was no statistically significant difference in gender and body mass index(BMI)between the two groups(P>0.05).CHA2DS2-VASc score and left atrial diameter were higher in the LAAT/SEC group than in the non-LAAT/SEC group(P=0.047;P<0.001).Significant differences(P<0.001)were observed in the ratio of Hounsfield unit of LAA and ascending aorta(LAA/AA HU ratio)at the first phase of DECT and quantitative parameters such as Zeff,Rho,λHu,and nIC.Multivariate logistic regression showed that Zeff and Rho were the independent factors for the diagnosis of LAAT/SEC.A Zeff-Rho based model predicting LAAT/SEC was subsequently developed,with Area Under the Curve(AUC)of 0.96(95%CI:0.92,1.00)and the accuracy of 0.92(95%CI:0.83,0.97).[Conclusions]The two quantitative parameters Zeff and Rho are independent risk factors for the diagnosis of LAAT/SEC.The DECT derived Zeff and Rho may have better diagnostic performance than single parameter and conventional CT in detecting LAAT/SEC.
left atrial appendagethrombusdual-energyCTiodine concentration
万方数据
维普
