The Echocardiographic Evaluation of the Right Heart: Current and Future Advances.


Journal

Current cardiology reports
ISSN: 1534-3170
Titre abrégé: Curr Cardiol Rep
Pays: United States
ID NLM: 100888969

Informations de publication

Date de publication:
12 2023
Historique:
accepted: 17 11 2023
medline: 26 1 2024
pubmed: 2 12 2023
entrez: 2 12 2023
Statut: ppublish

Résumé

To discuss physiologic and methodologic advances in the echocardiographic assessment of right heart (RH) function, including the emergence of artificial intelligence (AI) and point-of-care ultrasound. Recent studies have highlighted the prognostic value of right ventricular (RV) longitudinal strain, RV end-systolic dimensions, and right atrial (RA) size and function in pulmonary hypertension and heart failure. While RA pressure is a central marker of right heart diastolic function, the recent emphasis on venous excess imaging (VExUS) has provided granularity to the systemic consequences of RH failure. Several methodological advances are also changing the landscape of RH imaging including post-processing 3D software to delineate the non-longitudinal (radial, anteroposterior, and circumferential) components of RV function, as well as AI segmentation- and non-segmentation-based quantification. Together with recent guidelines and advances in AI technology, the field is shifting from specific RV functional metrics to integrated RH disease-specific phenotypes. A modern echocardiographic evaluation of RH function should focus on the entire cardiopulmonary venous unit-from the venous to the pulmonary arterial system. Together, a multi-parametric approach, guided by physiology and AI algorithms, will help define novel integrated RH profiles for improved disease detection and monitoring.

Identifiants

pubmed: 38041726
doi: 10.1007/s11886-023-02001-6
pii: 10.1007/s11886-023-02001-6
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1883-1896

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Auteurs

Christian O'Donnell (C)

Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA. codonnel@stanford.edu.
Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA. codonnel@stanford.edu.

Pablo Amador Sanchez (PA)

Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Bettia Celestin (B)

Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
Vera Moulton Wall Center for Pulmonary Vascular Disease, Stanford University School of Medicine, Stanford, CA, USA.

Michael V McConnell (MV)

Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.

Francois Haddad (F)

Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
Vera Moulton Wall Center for Pulmonary Vascular Disease, Stanford University School of Medicine, Stanford, CA, USA.

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Classifications MeSH