Three-dimensional automated right ventricular quantification for predicting right ventricular function dysfunction in patients with severe aortic stenosis
10.13929/j.issn.1672-8475.2025.08.006
- VernacularTitle:三维全自动右心室定量技术预测重度主动脉瓣狭窄患者右心室功能障碍
- Author:
Wei CAO
1
;
Wei JING
;
Xue YANG
;
Fang WANG
;
Li ZHOU
Author Information
1. 宁夏医科大学总医院心脏中心功能检查部,宁夏 银川 750001
- Publication Type:Journal Article
- Keywords:
aortic valve stenosis;
ventricular dysfunction,right;
echocardiography,three-dimensional
- From:
Chinese Journal of Interventional Imaging and Therapy
2025;22(8):520-524
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the value of three-dimensional automated right ventricular quantification(3D Auto RV)for predicting right ventricular function dysfunction in patients with severe aortic stenosis(AS).Methods Eighty severe AS patients were retrospectively enrolled.Based on right ventricular ejection fraction(RVEF)obtained with 3D Auto RV,the patients were classified into right ventricular compensation group(RVEF≥45%,compensation group,n=56)and right ventricular function decompensation(RVEF＜45%,decompensation group,n=24)group.Ultrasonic parameters related to right ventricular structure and function were compared between groups.Univariable analysis and multivariable logistic regression were performed to observe ultrasound parameters related to right ventricular function,so as to screen out the independent predictors of right ventricular functional decompensation(dysfunction)in patients with severe AS.Results Compared with those in compensation group,right ventricular end diastolic volume and right ventricular end systolic volume of decompensation group increased,while right ventricular fractional area change,tricuspid annular plane systolic excursion,right ventricular free wall longitudinal strain(RVFWLS),septal longitudinal strain(SLS),right ventricular stroke volume and RVEF all decreased(all P＜0.05).Valvulo-arterial impedance(OR=2.337),left ventricular ejection fraction(OR=0.751)and RVFWLS/pulmonary artery systolic pressure(right ventricle-pulmonary artery coupling)(OR=0.653)were all independent predictors of right ventricular dysfunction in patients with severe AS(all P＜0.05).Conclusion 3D Auto RV could be used to effectively predict right ventricular dysfunction in patients with severe AS.
