BACKGROUND: 3D echocardiography provides a complete evaluation of the aortic valve and adjacent structures and it improves the assessment of this cardiac region. Three-dimensional color-Doppler echocardiography (3DCDE) evaluation might improve the measurements of the functional regurgitant orifice in patients with Chronic Aortic Regurgitation (CAR). OBJECTIVES: Our aim was to compare the accuracy of current echo-Doppler methods and 3DCDE for the assessment of CAR severity. The reference method used in this work was the CAR severity determined by means of cardiac magnetic resonance (CMR) METHODS: Thirty-two consecutive patients with an established diagnosis of CAR recruited in our institution comprised our study group. CAR severity was determined by conventional Echo-Doppler methods and by 3DCDE and their results were compared with those obtained by means of CMR. RESULTS: Mean age was 63.0 ± 13.5 years. Twenty-two patients (68.8%) were men. Compared with the traditional echo-Doppler methods, 3DCDE evaluation had the best linear association with CMR results (3D vena contracta cross sectional area method: r = 0.88; r square = 0.77; p < 0.001. 3D vena contracta cross sectional area/left ventricular outflow tract cross sectional area method: r = 0.87; r square = 0.75; p < 0.001). The ROC analysis showed an excellent area under curve for detection of severe CAR (3D vena contracta cross sectional area method = 0.97; 3D vena contracta cross sectional area/left ventricular outflow tract cross sectional area method = 0.98). Inter- and intra-observer variability for the 3DCDE evaluation was good (ICC = 0.89 and ICC = 0.91 for inter and intra observer variability respectively). CONCLUSIONS: 3DCDE is an accurate and highly reproducible diagnostic tool for estimating CAR severity. Compared with the traditional echo-Doppler methods, 3DCDE has the best agreement with the CMR determined CAR severity. Thus, 3DCDE is a diagnostic method that may improve the therapeutic management of patients with CAR.
BACKGROUND: 3D echocardiography provides a complete evaluation of the aortic valve and adjacent structures and it improves the assessment of this cardiac region. Three-dimensional color-Doppler echocardiography (3DCDE) evaluation might improve the measurements of the functional regurgitant orifice in patients with Chronic Aortic Regurgitation (CAR). OBJECTIVES: Our aim was to compare the accuracy of current echo-Doppler methods and 3DCDE for the assessment of CAR severity. The reference method used in this work was the CAR severity determined by means of cardiac magnetic resonance (CMR) METHODS: Thirty-two consecutive patients with an established diagnosis of CAR recruited in our institution comprised our study group. CAR severity was determined by conventional Echo-Doppler methods and by 3DCDE and their results were compared with those obtained by means of CMR. RESULTS: Mean age was 63.0 ± 13.5 years. Twenty-two patients (68.8%) were men. Compared with the traditional echo-Doppler methods, 3DCDE evaluation had the best linear association with CMR results (3D vena contracta cross sectional area method: r = 0.88; r square = 0.77; p < 0.001. 3D vena contracta cross sectional area/left ventricular outflow tract cross sectional area method: r = 0.87; r square = 0.75; p < 0.001). The ROC analysis showed an excellent area under curve for detection of severe CAR (3D vena contracta cross sectional area method = 0.97; 3D vena contracta cross sectional area/left ventricular outflow tract cross sectional area method = 0.98). Inter- and intra-observer variability for the 3DCDE evaluation was good (ICC = 0.89 and ICC = 0.91 for inter and intra observer variability respectively). CONCLUSIONS: 3DCDE is an accurate and highly reproducible diagnostic tool for estimating CAR severity. Compared with the traditional echo-Doppler methods, 3DCDE has the best agreement with the CMR determined CAR severity. Thus, 3DCDE is a diagnostic method that may improve the therapeutic management of patients with CAR.
Authors: Reza Pakdaman Zangabad; Sophinese Iskander-Rizk; Pim van der Meulen; Bram Meijlink; Klazina Kooiman; Tianshi Wang; Antonius F W van der Steen; Gijs van Soest Journal: Photoacoustics Date: 2021-03-09