A Wavelet Approach to the Estimation of Left Ventricular Early Filling Wave Propagation Velocity from Color M-Mode Echocardiograms

• Main Authors: Chakraborty, S. (Author), Hall, M.E (Author), Iwano, H. (Author), Meyers, B.A (Author), Vlachos, P.P (Author)
• Format: Article
• Language: English
• Published: Elsevier Inc. 2021
• Subjects: area under the curve; Article; cardiovascular parameters; Classification ability; color Doppler echocardiography; conventional propagation velocity; Diagnosis; diastolic dysfunction; Diastolic dysfunction; Early filling; echocardiography; Echocardiography, Doppler, Color; female; Female; Filling; heart left ventricle function; heart ventricle pressure; human; Humans; Left ventricle early diastole; left ventricular early filling propagation velocity; major clinical study; male; Male; physiology; prediction; Pressure differences; priority journal; procedures; Propagation velocities; Propagation velocity; receiver operating characteristic; Receiver operating characteristic curves; Retrospective Studies; retrospective study; risk factor; Spatio-temporal variation; strength of propagation; Velocity; Ventricular Function, Left; Wave propagation; Wave propagation velocities; Wavelet propagation; wavelet propagation velocity; Wavelets
• Online Access: View Fulltext in Publisher

 A new approach to calculating left ventricular (LV) early filling propagation velocity (VP) from color M-mode echocardiograms using wavelet analysis is described. Current methods for measuring VP do not account for the spatiotemporal variation in VP. They are confined by empirical assumptions and user inputs that hinder the accuracy of VP, limiting its clinical utility. We evaluated three methods for measuring LV early filling: conventional VP, the strength of propagation (VS) and wavelet propagation velocity (VW) determined from the most energetically significant wave (peak VW). Group A comprised 125 patients (n = 50 normal filling, n = 25 impaired relaxation, n = 25 pseudonormal filling and n = 25 restrictive filling), and group B comprised 69 patients (n = 32 normal, n = 15 dilated and n = 22 hypertrophic). Peak VW most accurately distinguished normal from diseased patients. For group A, the area under the receiver operating characteristic curve was 0.92 for peak VW versus 0.62 for VP, 0.63 for VS and 0.58 for intraventricular pressure difference. These correspond to a 50%–70% improvement in classification ability. Similar improvements were measured in group B. Peak VW may provide a more accurate evaluation of diastolic function than standard methods and enable better diagnostic classification of patients with diastolic dysfunction. © 2021 World Federation for Ultrasound in Medicine & Biology