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Comparison between Automatic and Semiautomatic System for the 3D Echocardiographic Multiparametric Evaluation of RV Function and Dimension.

Authors :
Penso, Marco
Ranalletta, Remo Antonio
Pepi, Mauro
Garlaschè, Anna
Ali, Sarah Ghulam
Fusini, Laura
Mantegazza, Valentina
Muratori, Manuela
Maragna, Riccardo
Tamborini, Gloria
Source :
Journal of Clinical Medicine; Aug2022, Vol. 11 Issue 15, p4528-4528, 13p
Publication Year :
2022

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20770383
Volume :
11
Issue :
15
Database :
Complementary Index
Journal :
Journal of Clinical Medicine
Publication Type :
Academic Journal
Accession number :
158519908
Full Text :
https://doi.org/10.3390/jcm11154528