Abstract 15534: Fully Automated 'Hands-off' Evaluation of Left Atrial Volume in Children

IntroductionThree-dimensional echocardiography (3DE) has been shown to be superior to two-dimensional echocardiography (2DE) for the quantification of chamber volumes and dimensions. However, the utility of 3DE in routine clinical practice has been restricted by time-consuming analysis and the need...

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Published inCirculation (New York, N.Y.) Vol. 142; no. Suppl_3 Suppl 3; p. A15534
Main Authors Kauffman, Hunter, Whitehead, Kevin K, Convery, Michael, O’Connor, Matthew J, Quartermain, Michael, Banerjee, Anirban
Format Journal Article
LanguageEnglish
Published by the American College of Cardiology Foundation and the American Heart Association, Inc 17.11.2020
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Summary:IntroductionThree-dimensional echocardiography (3DE) has been shown to be superior to two-dimensional echocardiography (2DE) for the quantification of chamber volumes and dimensions. However, the utility of 3DE in routine clinical practice has been restricted by time-consuming analysis and the need for 3D-specific training. This study aims to assess the accuracy and clinical utility of Philips Dynamic Heart ModelA.I. (DHM), a “hands off” automated software program, that may be used to measure LA chamber dimensions. This is notable, as indexed LA volume has been used as a predictor of heart failure in adults.HypothesisWe hypothesize that DHM will be able to quickly and accurately calculate left atrial chamber volume when compared to Cardiac MRI (CMRI) used as a gold standard.MethodsTo date, 10 patients (Average Age 14.8±1.9) have undergone clinically indicated CMRI, immediately followed by 3DE, at the Children’s Hospital of Philadelphia. 3D images were analyzed via DHM without manual editing (hands-off approach). DHM automatically calculated maximum LA volume. LA volume was also calculated from CMRI images using the biplane method. LA volume measurements by DHM were correlated with CMRI.ResultsDHM was able to calculate LA volume in an average time of 32±8 seconds, without additional human input. Furthermore, inter-technique correlations showed that LA volume measurements made via DHM correlated very well with LA volume measurements made via CMRI (R=0.85, p<0.005). (Figure 1)ConclusionsIn children, fully automated evaluation of LA volume based on artificial intelligence is a viable alternative to time-consuming 3D analysis when compared to a CMRI gold standard. This method of “hands-off” analysis may prove to be useful in situations where trained 3D personnel are unavailable. Furthermore, the utilization of this method may result in a greater integration of 3D LA volume into routine clinical practice.
ISSN:0009-7322
1524-4539
DOI:10.1161/circ.142.suppl_3.15534