Automated Quantification of Mitral Inflow and Aortic Outflow Stroke Volumes by Three-Dimensional Real-Time Volume Color-Flow Doppler Transthoracic Echocardiography: Comparison with Pulsed-Wave Doppler and Cardiac Magnetic Resonance Imaging

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• 作者：Paaladinesh Thavendiranathan ; MD ; FRCPC ; FASE^a ; Shizhen Liu ; MD ; PhD^a ; Saurabh Datta ; PhD^b ; Michael Walls ; MD^a ; Adrien Nitinunu^a ; Thomas Van Houten ; RDCS ; FASE^a ; Nicholas A. Tomson ; RDCS^a ; Laura Vidmar ; RDCS^a ; Bogdan Georgescu ; PhD^c ; Yang Wang ; PhD^c ; Seshadri Srinivasan ; PhD^b ; Nathalie De Michelis ; BSN ; RN^d ; Subha V. Raman ; MD^a ; Thomas Ryan ; MD ; FASE ; FACC^a ; Mani A. Vannan ; MBBS ; FASE ; FACC ; FAHA^a ; ^{mvannan2560@gmail.com}
• 关键词：CFD ; Color-flow Doppler ; CI ; Confidence interval ; CMR ; Cardiac magnetic resonance ; LV ; Left ventricular ; LVOT ; Left ventricular outflow tract ; PW ; Pulsed-wave ; ROI ; Region of interest ; RT-VCFD ; Real-time three-dimensional volume color-flow Doppler transth
• 刊名：Journal of the American Society of Echocardiography
• 出版年：2012
• 出版时间：January, 2012
• 年：2012
• 卷：25
• 期：1
• 页码：56-65
• 全文大小：1594 K

文摘

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Background

The aim of this study was to compare the feasibility, accuracy, and reproducibility of automated quantification of mitral inflow and aortic stroke volumes (SVs) using real-time three-dimensional volume color-flow Doppler transthoracic echocardiography (RT-VCFD), with cardiac magnetic resonance (CMR) imaging as the reference method.

Methods

In 44 patients (86 % of the screened patients) without valvular disease, RT-VCFD, CMR left ventricular short-axis cines and aortic phase-contrast flow measurement and two-dimensional (2D) transthoracic echocardiography (TTE) were performed. Dedicated software was used to automatically measure mitral inflow and aortic SVs with RT-VCFD. CMR total SV was calculated using planimetry of short-axis slices and aortic SV by phase-contrast imaging. SVs by 2D TTE were computed in the conventional manner.

Results

The mean age of the included patients was 40 ¡À 16 years, and the mean left ventricular ejection fraction was 61 ¡À 9 % . Automated flow measurements were feasible in all study patients. Mitral inflow SV by 2D TTE and RT-VCFD were 85.0 ¡À 21.5 and 94.5 ¡À 22.0 mL, respectively, while total SV by CMR was 95.6 ¡À 22.7 mL (P < .001, analysis of variance). On post hoc analysis, mitral inflow SV by RT-VCFD was not different from the CMR value (P?= .99), while SV on 2D TTE was underestimated (P?= .001). The respective aortic SVs were 82.8 ¡À 22.3, 94.2 ¡À 22.3, and 93.4 ¡À 24.6 mL (P < .001). On post hoc analysis, aortic SV by RT-VCFD was not different from the CMR value (P?= .99), while SV on 2D TTE was underestimated (P?=?.006). The interobserver variability for SV measurements was significantly worse for 2D TTE compared with RT-VCFD.

Conclusions

RT-VCFD imaging with an automated quantification algorithm is feasible, accurate, and reproducible for the measurement of mitral inflow and aortic SVs and is superior to manual 2D TTE-based measurements. The rapid and automated measurements make this technique practical in the clinical setting to measure and report SVs routinely where the acoustic window will allow it, which was 86 % in our study.