A Novel Artificial Intelligence Echocardiography Software Achieves Equivalence to Physician-Read Images with Ultrasound Enhancing Agents in Left Ventricular Volume Determination
Author(s) -
Ashton Lai,
Frans Beerkens,
Solomon Bienstock,
Rajeev Samtani,
Martin E. Goldman
Publication year - 2020
Publication title -
journal of scientific innovation in medicine
Language(s) - English
Resource type - Journals
ISSN - 2579-0153
DOI - 10.29024/jsim.72
Subject(s) - ultrasound , volume (thermodynamics) , ventricular volume , equivalence (formal languages) , medicine , computer science , software , cardiology , artificial intelligence , radiology , biomedical engineering , medical physics , mathematics , physics , heart failure , operating system , ejection fraction , discrete mathematics , quantum mechanics
Background Left ventricular (LV) volumetric quantification by transthoracic echocardiography (TTE) remains a time-consuming, labor-intensive and ultimately subjective task. Ultrasound Enhancing Agents (UEAs) can improve the quantification but are expensive and require IV administration. Previously, we demonstrated that in select high quality studies, LV ejection fraction (LVEF) determined from a single plane non-UEA apical 4-chamber by an artificial intelligence (AI) software, LVivoEF by DIA®, correlated with cardiac magnetic resonance imaging (c-MR) and was more accurate than physicianderived LVEF from UEA images. Here, using consecutive non-selected patients (pts), we assess the accuracy of AI-derived non-UEA LV volumes compared to physician-derived UEA LV volumes (MD-Vol) with c-MR as the gold standard.
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