Feasibility and Accuracy of the Automated Software for Dynamic Quantification of Left Ventricular and Atrial Volumes and Function in a Large Unselected Population
We aimed to evaluate the feasibility and accuracy of machine learning-based automated dynamic quantification of left ventricular (LV) and left atrial (LA) volumes in an unselected population. We enrolled 600 unselected patients (12% in atrial fibrillation) clinically referred for transthoracic echoc...
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MDPI AG
2021
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oai:doaj.org-article:e2e9f51790f44b98bc7e6a18886297c02021-11-11T17:39:28ZFeasibility and Accuracy of the Automated Software for Dynamic Quantification of Left Ventricular and Atrial Volumes and Function in a Large Unselected Population10.3390/jcm102150302077-0383https://doaj.org/article/e2e9f51790f44b98bc7e6a18886297c02021-10-01T00:00:00Zhttps://www.mdpi.com/2077-0383/10/21/5030https://doaj.org/toc/2077-0383We aimed to evaluate the feasibility and accuracy of machine learning-based automated dynamic quantification of left ventricular (LV) and left atrial (LA) volumes in an unselected population. We enrolled 600 unselected patients (12% in atrial fibrillation) clinically referred for transthoracic echocardiography (2DTTE), who also underwent 3D echocardiography (3DE) imaging. LV ejection fraction (EF), LV, and LA volumes were obtained from 2D images; 3D images were analyzed using dynamic heart model (DHM) software (Philips) resulting in LV and LA volume–time curves. A subgroup of 140 patients also underwent cardiac magnetic resonance (CMR) imaging. Average time of analysis, feasibility, and image quality were recorded, and results were compared between 2DTTE, DHM, and CMR. The use of DHM was feasible in 522/600 cases (87%). When feasible, the boundary position was considered accurate in 335/522 patients (64%), while major (n = 38) or minor (n = 149) border corrections were needed. The overall time required for DHM datasets was approximately 40 seconds. As expected, DHM LV volumes were larger than 2D ones (end-diastolic volume: 173 ± 64 vs. 142 ± 58 mL, respectively), while no differences were found for LV EF and LA volumes (EF: 55% ± 12 vs. 56% ± 14; LA volume 89 ± 36 vs. 89 ± 38 mL, respectively). The comparison between DHM and CMR values showed a high correlation for LV volumes (r = 0.70 and r = 0.82, <i>p</i> < 0.001 for end-diastolic and end-systolic volume, respectively) and an excellent correlation for EF (r = 0.82, <i>p</i> < 0.001) and LA volumes. The DHM software is feasible, accurate, and quick in a large series of unselected patients, including those with suboptimal 2D images or in atrial fibrillation.Gianpiero ItalianoGloria TamboriniLaura FusiniValentina MantegazzaMarco DoldiFabrizio CelestePaola GripariManuela MuratoriRoberto M. LangMauro PepiMDPI AGarticle3D echocardiographycardiac chamber quantificationleft ventricular functionmachine learningMedicineRENJournal of Clinical Medicine, Vol 10, Iss 5030, p 5030 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
3D echocardiography cardiac chamber quantification left ventricular function machine learning Medicine R |
| spellingShingle |
3D echocardiography cardiac chamber quantification left ventricular function machine learning Medicine R Gianpiero Italiano Gloria Tamborini Laura Fusini Valentina Mantegazza Marco Doldi Fabrizio Celeste Paola Gripari Manuela Muratori Roberto M. Lang Mauro Pepi Feasibility and Accuracy of the Automated Software for Dynamic Quantification of Left Ventricular and Atrial Volumes and Function in a Large Unselected Population |
| description |
We aimed to evaluate the feasibility and accuracy of machine learning-based automated dynamic quantification of left ventricular (LV) and left atrial (LA) volumes in an unselected population. We enrolled 600 unselected patients (12% in atrial fibrillation) clinically referred for transthoracic echocardiography (2DTTE), who also underwent 3D echocardiography (3DE) imaging. LV ejection fraction (EF), LV, and LA volumes were obtained from 2D images; 3D images were analyzed using dynamic heart model (DHM) software (Philips) resulting in LV and LA volume–time curves. A subgroup of 140 patients also underwent cardiac magnetic resonance (CMR) imaging. Average time of analysis, feasibility, and image quality were recorded, and results were compared between 2DTTE, DHM, and CMR. The use of DHM was feasible in 522/600 cases (87%). When feasible, the boundary position was considered accurate in 335/522 patients (64%), while major (n = 38) or minor (n = 149) border corrections were needed. The overall time required for DHM datasets was approximately 40 seconds. As expected, DHM LV volumes were larger than 2D ones (end-diastolic volume: 173 ± 64 vs. 142 ± 58 mL, respectively), while no differences were found for LV EF and LA volumes (EF: 55% ± 12 vs. 56% ± 14; LA volume 89 ± 36 vs. 89 ± 38 mL, respectively). The comparison between DHM and CMR values showed a high correlation for LV volumes (r = 0.70 and r = 0.82, <i>p</i> < 0.001 for end-diastolic and end-systolic volume, respectively) and an excellent correlation for EF (r = 0.82, <i>p</i> < 0.001) and LA volumes. The DHM software is feasible, accurate, and quick in a large series of unselected patients, including those with suboptimal 2D images or in atrial fibrillation. |
| format |
article |
| author |
Gianpiero Italiano Gloria Tamborini Laura Fusini Valentina Mantegazza Marco Doldi Fabrizio Celeste Paola Gripari Manuela Muratori Roberto M. Lang Mauro Pepi |
| author_facet |
Gianpiero Italiano Gloria Tamborini Laura Fusini Valentina Mantegazza Marco Doldi Fabrizio Celeste Paola Gripari Manuela Muratori Roberto M. Lang Mauro Pepi |
| author_sort |
Gianpiero Italiano |
| title |
Feasibility and Accuracy of the Automated Software for Dynamic Quantification of Left Ventricular and Atrial Volumes and Function in a Large Unselected Population |
| title_short |
Feasibility and Accuracy of the Automated Software for Dynamic Quantification of Left Ventricular and Atrial Volumes and Function in a Large Unselected Population |
| title_full |
Feasibility and Accuracy of the Automated Software for Dynamic Quantification of Left Ventricular and Atrial Volumes and Function in a Large Unselected Population |
| title_fullStr |
Feasibility and Accuracy of the Automated Software for Dynamic Quantification of Left Ventricular and Atrial Volumes and Function in a Large Unselected Population |
| title_full_unstemmed |
Feasibility and Accuracy of the Automated Software for Dynamic Quantification of Left Ventricular and Atrial Volumes and Function in a Large Unselected Population |
| title_sort |
feasibility and accuracy of the automated software for dynamic quantification of left ventricular and atrial volumes and function in a large unselected population |
| publisher |
MDPI AG |
| publishDate |
2021 |
| url |
https://doaj.org/article/e2e9f51790f44b98bc7e6a18886297c0 |
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