Tundra Space

Tundra Space

Clinical Research Directory

Browse clinical research sites, groups, and studies.

Back to Studies
RECRUITING
NCT07528781

Novel 3-dimensional Echocardiographic Quantification of Mitral Regurgitant Volume

Sponsor: Germans Trias i Pujol Hospital

View on ClinicalTrials.gov

Summary

The goal of this observational study is demonstrate that a novel artificial intelligence based software for the quantification of the mitral regurgitation on 3-dimensional transesophageal echocardiography (3D CFQ) is more reproducible and accurate than the conventional assessment of mitral regurgitation performed with 2-dimensional echocardiography. The main question aims to answer is to demonstrate the agreement between 3D-CFQ measurement of the mitral regurgitant volume and the cardiac magnetic resonance measurement of the regurgitant volume is better than the agreement between 2-dimensional echocardiography and cardiac magnetic resonance. If this is demonstrated, we would like to test the accuracy of this tool to be applied in acute settings such as transcatheter interventions to decide the therapy to follow. Participants will undergo clinically indicated transesophageal echocardiography to characterize the mechanism and severity of mitral regurgitation and to cardiac magnetic resonance to be used as reference stadard to define the mitral regurgitation severity.

Key Details

Gender

All

Age Range

18 Years - 95 Years

Study Type

OBSERVATIONAL

Enrollment

200

Start Date

2026-03-17

Completion Date

2028-04-01

Last Updated

2026-04-14

Healthy Volunteers

No

Interventions

DEVICE

analysis of the performance of an artificial intelligenced based software for analysis of 3D tranesophageal echocardiography data

The analysis of mitral regurgitation in current practice is based on multiparametric approach of several 2-dimensional Doppler echocardiographic parameters and quantification of mitral regurgitant volume and effective regurgitant orifice area measured with the proxymal isovelocity surface area. This novel algorithm based on artificial intelligence based software may change clinical practice if demonstrates that provides more accurate estimation of the severity of mitral regurgitation.

Locations (1)

Hospital University Germans Trias i Pujol

Badalona, Barcelona, Spain