Why the study?
A new AI-based automated 3DE software for RV evaluation was proposed and validated against CMR, prompting evaluation of its feasibility and comparison with semi-automatic 3DE and standard 2DE.
Does AI-based automated 3DE software provide comparable and faster right ventricular evaluation compared to semi-automatic 3DE and standard 2DE in normal subjects and patients?
Does AI-based automated 3DE software provide comparable and faster right ventricular evaluation compared to semi-automatic 3DE and standard 2DE in normal subjects and patients?
AI-based automated 3D echocardiography offers a rapid and reproducible alternative to semi-automatic methods for right ventricular evaluation in clinical practice.
May speed RV quantification if contours are reviewed; leaves open fully automated, unreviewed adoption in routine practice.
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.
No takes yet. Share an insight, caveat, or question.
Penso et al. (2022) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: