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Echocardiographic Evaluation of Aortic Stenosis: A Comprehensive Review
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 innovatio...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417789/ https://www.ncbi.nlm.nih.gov/pubmed/37568890 http://dx.doi.org/10.3390/diagnostics13152527 |
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author | Manzo, Rachele Ilardi, Federica Nappa, Dalila Mariani, Andrea Angellotti, Domenico Immobile Molaro, Maddalena Sgherzi, Giulia Castiello, Domenico Simone Simonetti, Fiorenzo Santoro, Ciro Canonico, Mario Enrico Avvedimento, Marisa Piccolo, Raffaele Franzone, Anna Esposito, Giovanni |
author_facet | Manzo, Rachele Ilardi, Federica Nappa, Dalila Mariani, Andrea Angellotti, Domenico Immobile Molaro, Maddalena Sgherzi, Giulia Castiello, Domenico Simone Simonetti, Fiorenzo Santoro, Ciro Canonico, Mario Enrico Avvedimento, Marisa Piccolo, Raffaele Franzone, Anna Esposito, Giovanni |
author_sort | Manzo, Rachele |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10417789 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104177892023-08-12 Echocardiographic Evaluation of Aortic Stenosis: A Comprehensive Review Manzo, Rachele Ilardi, Federica Nappa, Dalila Mariani, Andrea Angellotti, Domenico Immobile Molaro, Maddalena Sgherzi, Giulia Castiello, Domenico Simone Simonetti, Fiorenzo Santoro, Ciro Canonico, Mario Enrico Avvedimento, Marisa Piccolo, Raffaele Franzone, Anna Esposito, Giovanni Diagnostics (Basel) Review 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. MDPI 2023-07-29 /pmc/articles/PMC10417789/ /pubmed/37568890 http://dx.doi.org/10.3390/diagnostics13152527 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Manzo, Rachele Ilardi, Federica Nappa, Dalila Mariani, Andrea Angellotti, Domenico Immobile Molaro, Maddalena Sgherzi, Giulia Castiello, Domenico Simone Simonetti, Fiorenzo Santoro, Ciro Canonico, Mario Enrico Avvedimento, Marisa Piccolo, Raffaele Franzone, Anna Esposito, Giovanni Echocardiographic Evaluation of Aortic Stenosis: A Comprehensive Review |
title | Echocardiographic Evaluation of Aortic Stenosis: A Comprehensive Review |
title_full | Echocardiographic Evaluation of Aortic Stenosis: A Comprehensive Review |
title_fullStr | Echocardiographic Evaluation of Aortic Stenosis: A Comprehensive Review |
title_full_unstemmed | Echocardiographic Evaluation of Aortic Stenosis: A Comprehensive Review |
title_short | Echocardiographic Evaluation of Aortic Stenosis: A Comprehensive Review |
title_sort | echocardiographic evaluation of aortic stenosis: a comprehensive review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417789/ https://www.ncbi.nlm.nih.gov/pubmed/37568890 http://dx.doi.org/10.3390/diagnostics13152527 |
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