Validation of Semiautomated Quantification of Mitral Valve Regurgitation by Three-Dimensional Color Doppler Transesophageal Echocardiography.

Echocardiography, Doppler, Color Echocardiography, Three-Dimensional Echocardiography, Transesophageal Humans Male Middle Aged Mitral Valve Insufficiency / diagnostic imaging Reproducibility of Results Severity of Illness Index
Magnetic resonance imaging Mitral valve regurgitation PISA TEE Three-dimensional

Journal

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
ISSN: 1097-6795
Titre abrégé: J Am Soc Echocardiogr
Pays: United States
ID NLM: 8801388

Informations de publication

Date de publication:
03 2020
Historique:
received: 22 05 2019
revised: 27 09 2019
accepted: 31 10 2019
entrez: 8 3 2020
pubmed: 8 3 2020
medline: 25 9 2021
Statut: ppublish

Résumé

The aim of this study was to evaluate the accuracy of mitral regurgitation (MR) volume quantified on three-dimensional (3D) color Doppler transesophageal echocardiography (TEE) using new semiautomated software compared with conventional two-dimensional (2D) proximal isovelocity surface area (PISA) transthoracic echocardiography (TTE) and TEE and cardiac magnetic resonance imaging (CMR). Fifty-one patients (mean age, 63 ± 16 years; 35 men) prospectively underwent TTE, TEE, and CMR for MR evaluation. Regurgitant volume (RVol) by 3D MR flow quantification was compared with 2D TTE, TEE, and CMR, and the accuracy of evaluation of severe MR by 3D MR flow quantification was compared against guideline criteria by TEE. Twenty-nine patients had severe MR, 16 had moderate MR, and six had mild MR. Three-dimensional MR flow quantification was feasible in all patients, including prolapse (n = 37), restriction (n = 9), functional MR (n = 5), and eccentric or multiple jects (n = 41). RVol on 3D MR flow quantification correlated well with RVol on 2D PISA TTE (interclass correlation coefficient [ICC] = 0.75, P < .001), quantitatively estimated RVol (ICC = 0.74, P < .001), and 2D PISA TEE (ICC = 0.79, P < .001). Three-dimensional MR flow quantification agreed better with CMR (ICC = 0.86, P < .001) than did RVol on 2D PISA TTE (ICC = 0.66, P < .001) and 2D PISA TEE (ICC = 0.69, P < .001), with narrower limits of agreement on Bland-Altman analysis. Three-dimensional MR flow quantification had high accuracy for diagnosing severe MR using TEE (area under the curve = 0.85, 95% CI 0.74-0.96, P < .001) or CMR (area under the curve = 0.95; 95% CI, 0.89-1.00; P < .001) as the criterion. The new software enabled semiautomated 3D MR flow quantification in complex MR with multiple and eccentric jets and showed better agreement with CMR than 2D PISA TTE or TEE, suggesting that this method is more accurate than conventional 2D PISA TTE and TEE.

Sections du résumé

BACKGROUND
The aim of this study was to evaluate the accuracy of mitral regurgitation (MR) volume quantified on three-dimensional (3D) color Doppler transesophageal echocardiography (TEE) using new semiautomated software compared with conventional two-dimensional (2D) proximal isovelocity surface area (PISA) transthoracic echocardiography (TTE) and TEE and cardiac magnetic resonance imaging (CMR).
METHODS
Fifty-one patients (mean age, 63 ± 16 years; 35 men) prospectively underwent TTE, TEE, and CMR for MR evaluation. Regurgitant volume (RVol) by 3D MR flow quantification was compared with 2D TTE, TEE, and CMR, and the accuracy of evaluation of severe MR by 3D MR flow quantification was compared against guideline criteria by TEE.
RESULTS
Twenty-nine patients had severe MR, 16 had moderate MR, and six had mild MR. Three-dimensional MR flow quantification was feasible in all patients, including prolapse (n = 37), restriction (n = 9), functional MR (n = 5), and eccentric or multiple jects (n = 41). RVol on 3D MR flow quantification correlated well with RVol on 2D PISA TTE (interclass correlation coefficient [ICC] = 0.75, P < .001), quantitatively estimated RVol (ICC = 0.74, P < .001), and 2D PISA TEE (ICC = 0.79, P < .001). Three-dimensional MR flow quantification agreed better with CMR (ICC = 0.86, P < .001) than did RVol on 2D PISA TTE (ICC = 0.66, P < .001) and 2D PISA TEE (ICC = 0.69, P < .001), with narrower limits of agreement on Bland-Altman analysis. Three-dimensional MR flow quantification had high accuracy for diagnosing severe MR using TEE (area under the curve = 0.85, 95% CI 0.74-0.96, P < .001) or CMR (area under the curve = 0.95; 95% CI, 0.89-1.00; P < .001) as the criterion.
CONCLUSIONS
The new software enabled semiautomated 3D MR flow quantification in complex MR with multiple and eccentric jets and showed better agreement with CMR than 2D PISA TTE or TEE, suggesting that this method is more accurate than conventional 2D PISA TTE and TEE.

Identifiants

DOI: 10.1016/j.echo.2019.10.013 PMID: 32143780
pubmed: 32143780
pii: S0894-7317(19)31115-0
doi: 10.1016/j.echo.2019.10.013
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

342-354

Informations de copyright

Copyright © 2019 American Society of Echocardiography. Published by Elsevier Inc. All rights reserved.

Auteurs

Sebastian Militaru (S)

Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium.

Odile Bonnefous (O)

Philips Research, Medical Imaging (Medisys), Suresnes, France.

Karima Hami (K)

Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium.

Hélène Langet (H)

Philips Clinical Research Board, Suresnes, France.

Laura Houard (L)

Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium.

Stéphane Allaire (S)

Philips Research, Medical Imaging (Medisys), Suresnes, France.

Anne-Catherine Pouleur (AC)

Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium.

Scott Dianis (S)

Philips Ultrasound, Andover, Massachusetts.

Alexandre This (A)

Philips Research, Medical Imaging (Medisys), Suresnes, France; INRIA Paris and Sorbonne University, UPMC Univ Paris 6, UMR 7598, Paris, France.

Christophe Beauloye (C)

Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium.

David Vancraeynest (D)

Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium.

Agnès Pasquet (A)

Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium.

Jean-Louis Vanoverschelde (JL)

Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium.

Bernhard L Gerber (BL)

Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium. Electronic address: bernhard.gerber@uclouvain.be.

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Classifications MeSH

questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Techniques de diagnostic cardiovasculaire › Tests de la fonction cardiaque › Échocardiographie › Échocardiographie-doppler › Échocardiographie-doppler couleur › Validation of Semiautomated Quantification of...
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Techniques de diagnostic cardiovasculaire › Tests de la fonction cardiaque › Échocardiographie › Échocardiographie tridimensionnelle › Validation of Semiautomated Quantification of...
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Techniques de diagnostic cardiovasculaire › Tests de la fonction cardiaque › Échocardiographie › Échocardiographie transoesophagienne › Validation of Semiautomated Quantification of...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Validation of Semiautomated Quantification of...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Adulte d'âge moyen › Validation of Semiautomated Quantification of...
questionsmedicales.fr › Maladies cardiovasculaires › Cardiopathies › Valvulopathies › Insuffisance mitrale › Validation of Semiautomated Quantification of...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Méthodologie en recherche épidémiologique › Reproductibilité des résultats › Validation of Semiautomated Quantification of...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Collecte de données › Enquêtes et questionnaires › Enquêtes de santé › Indicateurs d'état de santé › Acuité des besoins du patient › Indice de gravité de la maladie › Validation of Semiautomated Quantification of...