| Autor: |
Rachele Manzo, Federica Ilardi, Dalila Nappa, Andrea Mariani, Domenico Angellotti, Maddalena Immobile Molaro, Giulia Sgherzi, Domenico Simone Castiello, Fiorenzo Simonetti, Ciro Santoro, Mario Enrico Canonico, Marisa Avvedimento, Raffaele Piccolo, Anna Franzone, Giovanni Esposito |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Diagnostics, Vol 13, Iss 15, p 2527 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2075-4418 |
| DOI: |
10.3390/diagnostics13152527 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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