Echocardiographic Evaluation of Aortic Stenosis: A Comprehensive Review

被引：18

作者：

Manzo, Rachele ^{[1
]}

Ilardi, Federica ^{[1
]}

Nappa, Dalila ^{[1
]}

Mariani, Andrea ^{[1
]}

Angellotti, Domenico ^{[1
]}

Molaro, Maddalena Immobile ^{[1
]}

Sgherzi, Giulia ^{[1
]}

Castiello, Domenico Simone ^{[1
]}

Simonetti, Fiorenzo ^{[1
]}

Santoro, Ciro ^{[1
]}

Canonico, Mario Enrico ^{[1
]}

Avvedimento, Marisa ^{[1
]}

Piccolo, Raffaele ^{[1
]}

Franzone, Anna ^{[1
]}

Esposito, Giovanni ^{[1
]}

机构：

[1] Univ Naples Federico II, Dept Adv Biomed Sci, Div Cardiol, I-80131 Naples, Italy

来源：

DIAGNOSTICS | 2023年 / 13卷 / 15期

关键词：

aortic stenosis; echocardiography; aortic stenosis grading; artificial intelligence; multiparametric approach; cardiac damage; GLOBAL LONGITUDINAL STRAIN; PROJECTED VALVE AREA; NORMAL FLOW-RATE; STRESS ECHOCARDIOGRAPHY; RISK STRATIFICATION; AMERICAN SOCIETY; TRANSESOPHAGEAL ECHOCARDIOGRAPHY; VALVULOARTERIAL IMPEDANCE; VENTRICULAR DYSFUNCTION; EUROPEAN ASSOCIATION;

D O I：

10.3390/diagnostics13152527

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Echocardiography represents the most important diagnostic tool in the evaluation of aortic stenosis. The echocardiographic assessment of its severity should always be performed through a standardized and stepwise approach in order to achieve a comprehensive evaluation. The latest technical innovations in the field of echocardiography have improved diagnostic accuracy, guaranteeing a better and more detailed evaluation of aortic valve anatomy. An early diagnosis is of utmost importance since it shortens treatment delays and improves patient outcomes. Echocardiography plays a key role also in the evaluation of all the structural changes related to aortic stenosis. Detailed evaluation of subtle and subclinical changes in left ventricle function has a prognostic significance: scientific efforts have been addressed to identify the most accurate global longitudinal strain cut-off value able to predict adverse outcomes. Moreover, in recent years the role of artificial intelligence is increasingly emerging as a promising tool able to assist cardiologists in aortic stenosis screening and diagnosis, especially by reducing the rate of aortic stenosis misdiagnosis.

引用

页数：19

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