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Comparison between Automatic and Semiautomatic System for the 3D Echocardiographic Multiparametric Evaluation of RV Function and Dimension
Background: The right ventricle (RV) plays a pivotal role in cardiovascular diseases and 3-dimensional echocardiography (3DE) has gained acceptance for the evaluation of RV volumes and function. Recently, a new artificial intelligence (AI)–based automated 3DE software for RV evaluation has been prop...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9369664/ https://www.ncbi.nlm.nih.gov/pubmed/35956143 http://dx.doi.org/10.3390/jcm11154528 |
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author | Penso, Marco Ranalletta, Remo Antonio Pepi, Mauro Garlaschè, Anna Ali, Sarah Ghulam Fusini, Laura Mantegazza, Valentina Muratori, Manuela Maragna, Riccardo Tamborini, Gloria |
author_facet | Penso, Marco Ranalletta, Remo Antonio Pepi, Mauro Garlaschè, Anna Ali, Sarah Ghulam Fusini, Laura Mantegazza, Valentina Muratori, Manuela Maragna, Riccardo Tamborini, Gloria |
author_sort | Penso, Marco |
collection | PubMed |
description | Background: The right ventricle (RV) plays a pivotal role in cardiovascular diseases and 3-dimensional echocardiography (3DE) has gained acceptance for the evaluation of RV volumes and function. Recently, a new artificial intelligence (AI)–based automated 3DE software for RV evaluation has been proposed and validated against cardiac magnetic resonance. The aims of this study were three-fold: (i) feasibility of the AI-based 3DE RV quantification, (ii) comparison with the semi-automatic 3DE method and (iii) assessment of 2-dimensional echocardiography (2DE) and strain measurements obtained automatically. Methods: A total of 203 subject (122 normal and 81 patients) underwent a 2DE and both the semi-automatic and automatic 3DE methods for Doppler standard, RV volumes and ejection fraction (RVEF) measurements. Results: The automatic 3DE method was highly feasible, faster than 2DE and semi-automatic 3DE and data obtained were comparable with traditional measurements. Both in normal subjects and patients, the RVEF was similar to the two 3DE methods and 2DE and strain measurements obtained by the automated system correlated very well with the standard 2DE and strain ones. Conclusions: results showed that rapid analysis and excellent reproducibility of AI-based 3DE RV analysis supported the routine adoption of this automated method in the daily clinical workflow. |
format | Online Article Text |
id | pubmed-9369664 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93696642022-08-12 Comparison between Automatic and Semiautomatic System for the 3D Echocardiographic Multiparametric Evaluation of RV Function and Dimension Penso, Marco Ranalletta, Remo Antonio Pepi, Mauro Garlaschè, Anna Ali, Sarah Ghulam Fusini, Laura Mantegazza, Valentina Muratori, Manuela Maragna, Riccardo Tamborini, Gloria J Clin Med Article Background: The right ventricle (RV) plays a pivotal role in cardiovascular diseases and 3-dimensional echocardiography (3DE) has gained acceptance for the evaluation of RV volumes and function. Recently, a new artificial intelligence (AI)–based automated 3DE software for RV evaluation has been proposed and validated against cardiac magnetic resonance. The aims of this study were three-fold: (i) feasibility of the AI-based 3DE RV quantification, (ii) comparison with the semi-automatic 3DE method and (iii) assessment of 2-dimensional echocardiography (2DE) and strain measurements obtained automatically. Methods: A total of 203 subject (122 normal and 81 patients) underwent a 2DE and both the semi-automatic and automatic 3DE methods for Doppler standard, RV volumes and ejection fraction (RVEF) measurements. Results: The automatic 3DE method was highly feasible, faster than 2DE and semi-automatic 3DE and data obtained were comparable with traditional measurements. Both in normal subjects and patients, the RVEF was similar to the two 3DE methods and 2DE and strain measurements obtained by the automated system correlated very well with the standard 2DE and strain ones. Conclusions: results showed that rapid analysis and excellent reproducibility of AI-based 3DE RV analysis supported the routine adoption of this automated method in the daily clinical workflow. MDPI 2022-08-03 /pmc/articles/PMC9369664/ /pubmed/35956143 http://dx.doi.org/10.3390/jcm11154528 Text en © 2022 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 | Article Penso, Marco Ranalletta, Remo Antonio Pepi, Mauro Garlaschè, Anna Ali, Sarah Ghulam Fusini, Laura Mantegazza, Valentina Muratori, Manuela Maragna, Riccardo Tamborini, Gloria Comparison between Automatic and Semiautomatic System for the 3D Echocardiographic Multiparametric Evaluation of RV Function and Dimension |
title | Comparison between Automatic and Semiautomatic System for the 3D Echocardiographic Multiparametric Evaluation of RV Function and Dimension |
title_full | Comparison between Automatic and Semiautomatic System for the 3D Echocardiographic Multiparametric Evaluation of RV Function and Dimension |
title_fullStr | Comparison between Automatic and Semiautomatic System for the 3D Echocardiographic Multiparametric Evaluation of RV Function and Dimension |
title_full_unstemmed | Comparison between Automatic and Semiautomatic System for the 3D Echocardiographic Multiparametric Evaluation of RV Function and Dimension |
title_short | Comparison between Automatic and Semiautomatic System for the 3D Echocardiographic Multiparametric Evaluation of RV Function and Dimension |
title_sort | comparison between automatic and semiautomatic system for the 3d echocardiographic multiparametric evaluation of rv function and dimension |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9369664/ https://www.ncbi.nlm.nih.gov/pubmed/35956143 http://dx.doi.org/10.3390/jcm11154528 |
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