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Concordance of left ventricular volumes and function measurements between two human readers, a fully automated AI algorithm, and the 3D heart model

Echocardiography is essential in cardiovascular medicine for screening, diagnosis, and monitoring. Artificial intelligence (AI) has the potential to improve echocardiography by reducing variability and analysis time. While 3D echocardiography is becoming more accurate, 2D imaging still dominates cli...

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Bibliographic Details
Published in:Frontiers in cardiovascular medicine 2024-07, Vol.11, p.1400333
Main Authors: Myhre, Peder L, Gaibazzi, Nicola, Tuttolomondo, Domenico, Sartorio, Daniele, Ugolotti, Pietro Tito, Covani, Marco, Bettella, Alberto, Suma, Sergio
Format: Article
Language:English
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Summary:Echocardiography is essential in cardiovascular medicine for screening, diagnosis, and monitoring. Artificial intelligence (AI) has the potential to improve echocardiography by reducing variability and analysis time. While 3D echocardiography is becoming more accurate, 2D imaging still dominates clinical care. We aimed to evaluate agreement in measures of left ventricular (LV) volumes and function between human readers, a fully automated AI 2D algorithm, and the 3D Heart Model. A retrospective analysis was conducted on 109 patients who underwent 2D and 3D transthoracic echocardiography. LV end-diastolic and end-systolic volumes (LVEDV, LVESV) and ejection fraction (LVEF) were measured by two operators, a commercially available AI algorithm (US2ai), and the 3D Heart Model. Global longitudinal strain (GLS) was measured by the integrated semi-automated software and the AI algorithm. Outcomes included measures of agreement [bias, limit of agreement and Pearson's correlation (R)]. For LV volume measurements, the AI algorithm was strongly correlated with the average of the human operators (  = 0.89 for LVEDV and  = 0.92 for LVESV), which was higher than between the operators (  = 0.74 and  = 0.84, respectively,  
ISSN:2297-055X
2297-055X
DOI:10.3389/fcvm.2024.1400333