Velocity vector imaging in assessing right ventricular subclinical dysfunction in newly diagnosed obstructive sleep apnea patients

WOS: 000208702501197

Impaired left ventricular longitudinal function in asymptomatic patients with moderate-to-severe chronic aortic regurgitation: a velocity vector imaging study

WOS: 000208702503198

Clinical implications of velocity vector imaging-based two dimensional strain imaging for the evaluation of left ventricular systolic functions

WOS: 000208659600009PubMed ID: 20485243Two-dimensional (2D) echocardiography is the most common imaging modality used to assess left ventricular (LV) myocardial function. Although the studies revealed useful conclusions, there are some limitations with the conventional measurement of ejection fraction. Two dimensional (2D) strain imaging is newer echocardiographic technique which is utilized for the evaluation of quantitative regional ventricular functions. Velocity vector imaging based- 2D strain imaging is the most recent technology with a few advantages sourced by its software. This review introduces a novel 2D strain imaging technology, explains its fundamental concepts and discusses clinical applications with all the major advantages and limitations

Subclinical left ventricular dysfunction in asymptomatic chronic mitral regurgitation patients with normal ejection fraction: A combined tissue doppler and velocity vector imaging-based study

PubMed ID: 21906162Background: The optimal timing of the surgery in asymptomatic severe mitral regurgitation (MR) remains a challenge. The aim of the study is to evaluate the subclinical changes in LV longitudinal functions by using a novel strain imaging technique; velocity vector imaging (VVI); in patients with chronic MR. Methods and Results: We studied 54 patients with asymptomatic, nonischemic, chronic MR (56.8 ± 9 years and 56% male) and 30 healthy controls (55 ± 6.5 years and 55% male) with normal ejection fraction. Patients with MR were analyzed in tertiles according to their regurgitant volumes (RV) and regurgitant fractions (RF): mild MR (RV 60 mL, RF ? 50%; n = 18). Conventional echocardiography and VVI-based strain imaging were performed to analyze LV functions. LV longitudinal peak systolic strain and strain rate (SRs) were significantly impaired in moderate and severe MR patients. © 2011, Wiley Periodicals, Inc

Association of mitral annular calcification with cardiovascular risk factors and cardiac structural disease in patients with mitral regurgitation

Objective: Mitral annular calcification (MAC) is the degenerative calcification of the supportive ring of mitral valve. In previous studies, MAC has been shown to be associated with atherosclerosis, and be an independent predictor of cardiovascular disease. The purpose of this study was to evaluate the association of MAC with mitral regurgitation, cardiovascular risk factors and other cardiac structural disease. Material and Methods: We retrospectively reviewed 30 701 echocardiograms performed for various clinical indications between 2006-2007. Four thousand four hundred and forty six patients with mitral valve regurgitation were evaluated for MAC and its relation with severity of mitral regurgitation, cardiovascular risk factors and other cardiac structural and functional abnormalities. Results: MAC was diagnosed in 534 (12.0%) of the 4446 patients with mitral regurgitation. MAC was mostly observed in patients with older age, female gender, hypertension, diabetes mellitus, left atrial enlargement, atrial fibrillation, mitral stenosis and aortic stenosis. Presence of MAC was associated both with the severity of mitral regurgitation and mitral stenosis. In logistic regression analysis, older age, female gender, hypertension, left ventricular hypertrophy, diastolic dysfunction, left atrial enlargement, tricuspid regurgitation, aortic stenosis and mitral stenosis were independent predictors of with MAC. Among these variables, left ventricular hypertrophy was found to be the most predictive parameter of MAC. Conclusions: In this study, MAC independently associated with cardivascular risk factors and structural disease. Therefore, MAC may be used as a predictor of cardiovascular risk and cardiac structural abnormalities in daily clinical practice. Copyright © 2010 by Türkiye Klinikleri