Aims: To improve quantification of valvular regurgitation, a 3D high-pulse repetition frequency Doppler (3D HPRFD) method was developed for regurgitant volume (RVol) estimation from transthoracic echocardiography (TTE). Although successfully applied and in selected clinical cases, a systematic clinical validation of 3D HPRFD has not been published. Hence, our aims were to investigate (i) feasibility of 3D HPRFD and (ii) correlation between 3D HPRFD and RVol estimates obtained by the 2D proximal isovelocity surface area (PISA) method and cardiac magnetic resonance (CMR) in patients with either aortic regurgitation (AR) or mitral regurgitation (MR).

Methods And Results: We included 45 patients with AR (42% mild, 40% moderate, and 18% severe) and 45 with MR (67% mild, 24% moderate, and 9% severe). Median time between start of TTE and start of CMR was 1.5 h, minimizing changes in load. Overall feasibility of 3D HPRFD was 56% in AR and 44% in MR. Feasibility was only 25% in patients with severe regurgitation. In AR, estimated RVol from 3D HPRF did not correlate with estimated RVol from PISA or CMR [Spearman = 0.06 ( = 0.78) and 0.04 ( = 0.4), respectively]. In MR, RVol estimates from 3D HPRFD correlated with PISA ( = 0.72, < 0.001) but not with CMR ( = 0.31, = 0.43).

Conclusion: Regurgitant volume estimation by 3D HPRFD had a low feasibility, especially in severe regurgitation, and in general correlated poorly with PISA and CMR estimates. In its current state, 3D HPRFD is not ready for clinical use.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11694712PMC
http://dx.doi.org/10.1093/ehjimp/qyae138DOI Listing

Publication Analysis

Top Keywords

quantification valvular
8
valvular regurgitation
8
repetition frequency
8
frequency doppler
8
hprfd
8
regurgitant volume
8
feasibility hprfd
8
rvol estimates
8
severe regurgitation
8
estimated rvol
8

Similar Publications

Quantification of valvular regurgitation by transthoracic 3D high pulse repetition frequency Doppler echocardiography.

Eur Heart J Imaging Methods Pract

July 2024

Department of Circulation and Medical Imaging, Faculty of Medicine and Health Science, Norwegian University of Science and Technology (NTNU), Prinsesse Kristinas gate 3, Trondheim 7030, Norway.

Aims: To improve quantification of valvular regurgitation, a 3D high-pulse repetition frequency Doppler (3D HPRFD) method was developed for regurgitant volume (RVol) estimation from transthoracic echocardiography (TTE). Although successfully applied and in selected clinical cases, a systematic clinical validation of 3D HPRFD has not been published. Hence, our aims were to investigate (i) feasibility of 3D HPRFD and (ii) correlation between 3D HPRFD and RVol estimates obtained by the 2D proximal isovelocity surface area (PISA) method and cardiac magnetic resonance (CMR) in patients with either aortic regurgitation (AR) or mitral regurgitation (MR).

View Article and Find Full Text PDF

Mitral Regurgitation Evaluation in Modern Echocardiography: Bridging Standard Techniques and Advanced Tools for Enhanced Assessment.

Echocardiography

January 2025

Cardiac Imaging Department, Istituto Cardiocentro Ticino, Ente Ospedaliero Cantonale, Lugano, Switzerland.

Mitral regurgitation (MR) is one of the most common valvular heart diseases worldwide. Echocardiography remains the first line and most effective imaging modality for the diagnosis of mitral valve (MV) pathology and quantitative assessment of MR. The advent of three-dimensional echocardiography has significantly enhanced the evaluation of MV anatomy and function.

View Article and Find Full Text PDF

Background: Accurate assessment of aortic root is crucial for the preprocedural planning of transcatheter aortic valve replacement (TAVR). A variety software is emerging for the semiautomated or automated measurements during TAVR planning. This study evaluated a new deep-learning (DL) tool based on cardiac computed tomography angiography (CCTA) for fully automatic assessment of aortic root.

View Article and Find Full Text PDF

Background: Mitral regurgitation (MR) is the most common form of valvular heart disease (VHD), and the accurate assessment of MR severity is critical for clinical management. However, the quantitative assessment of MR is intricate and time-consuming, posing challenges for physicians in ensuring the precision of the results. Thus, our objective was to create an automated and reproducible artificial intelligence (AI) system.

View Article and Find Full Text PDF

Cardiovascular magnetic resonance imaging (CMR) has received extensive validation for the assessment of valvular heart disease (VHD) and offers an accurate and direct method for the quantification of aortic regurgitation (AR). According to the current guidelines, CMR represents a useful second-line investigation in patients with poor acoustic windows or when echocardiography is inconclusive, for example, in cases of multiple or eccentric aortic jets. Without ionizing radiation exposure, CMR provides in-depth information not only on the severity degree of AR, providing a precise quantification of regurgitant volume and fraction, but also on cardiac structure and function, being recognized as the gold standard for the assessment of heart chamber size and systolic function.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!