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The Echocardiographic Evaluation of the Right Heart: Current and Future Advances.
O'Donnell, Christian; Sanchez, Pablo Amador; Celestin, Bettia; McConnell, Michael V; Haddad, Francois.
Afiliação
  • O'Donnell C; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA. codonnel@stanford.edu.
  • Sanchez PA; Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA. codonnel@stanford.edu.
  • Celestin B; Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • McConnell MV; Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Haddad F; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
Curr Cardiol Rep ; 25(12): 1883-1896, 2023 12.
Article em En | MEDLINE | ID: mdl-38041726
PURPOSE OF REVIEW: 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 FINDINGS: 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Disfunção Ventricular Direita / Insuficiência Cardíaca Limite: Humans Idioma: En Revista: Curr Cardiol Rep Assunto da revista: CARDIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Disfunção Ventricular Direita / Insuficiência Cardíaca Limite: Humans Idioma: En Revista: Curr Cardiol Rep Assunto da revista: CARDIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos