Linking statistical shape models and simulated function in the healthy adult human heart.
Cardiac anatomy plays a crucial role in determining cardiac function. However, there is a poor understanding of how specific and localised anatomical changes affect different cardiac functional outputs. In this work, we test the hypothesis that in a statistical shape model (SSM), the modes that are...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2021-04-01
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| Series: | PLoS Computational Biology |
| Online Access: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1008851&type=printable |
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| author | Cristobal Rodero Marina Strocchi Maciej Marciniak Stefano Longobardi John Whitaker Mark D O'Neill Karli Gillette Christoph Augustin Gernot Plank Edward J Vigmond Pablo Lamata Steven A Niederer |
| author_facet | Cristobal Rodero Marina Strocchi Maciej Marciniak Stefano Longobardi John Whitaker Mark D O'Neill Karli Gillette Christoph Augustin Gernot Plank Edward J Vigmond Pablo Lamata Steven A Niederer |
| author_sort | Cristobal Rodero |
| collection | DOAJ |
| description | Cardiac anatomy plays a crucial role in determining cardiac function. However, there is a poor understanding of how specific and localised anatomical changes affect different cardiac functional outputs. In this work, we test the hypothesis that in a statistical shape model (SSM), the modes that are most relevant for describing anatomy are also most important for determining the output of cardiac electromechanics simulations. We made patient-specific four-chamber heart meshes (n = 20) from cardiac CT images in asymptomatic subjects and created a SSM from 19 cases. Nine modes captured 90% of the anatomical variation in the SSM. Functional simulation outputs correlated best with modes 2, 3 and 9 on average (R = 0.49 ± 0.17, 0.37 ± 0.23 and 0.34 ± 0.17 respectively). We performed a global sensitivity analysis to identify the different modes responsible for different simulated electrical and mechanical measures of cardiac function. Modes 2 and 9 were the most important for determining simulated left ventricular mechanics and pressure-derived phenotypes. Mode 2 explained 28.56 ± 16.48% and 25.5 ± 20.85, and mode 9 explained 12.1 ± 8.74% and 13.54 ± 16.91% of the variances of mechanics and pressure-derived phenotypes, respectively. Electrophysiological biomarkers were explained by the interaction of 3 ± 1 modes. In the healthy adult human heart, shape modes that explain large portions of anatomical variance do not explain equivalent levels of electromechanical functional variation. As a result, in cardiac models, representing patient anatomy using a limited number of modes of anatomical variation can cause a loss in accuracy of simulated electromechanical function. |
| format | Article |
| id | doaj-art-2d7ba169e8be4c0eb71d0d60f5b652c3 |
| institution | Kabale University |
| issn | 1553-734X 1553-7358 |
| language | English |
| publishDate | 2021-04-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj-art-2d7ba169e8be4c0eb71d0d60f5b652c32025-08-20T03:44:40ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582021-04-01174e100885110.1371/journal.pcbi.1008851Linking statistical shape models and simulated function in the healthy adult human heart.Cristobal RoderoMarina StrocchiMaciej MarciniakStefano LongobardiJohn WhitakerMark D O'NeillKarli GilletteChristoph AugustinGernot PlankEdward J VigmondPablo LamataSteven A NiedererCardiac anatomy plays a crucial role in determining cardiac function. However, there is a poor understanding of how specific and localised anatomical changes affect different cardiac functional outputs. In this work, we test the hypothesis that in a statistical shape model (SSM), the modes that are most relevant for describing anatomy are also most important for determining the output of cardiac electromechanics simulations. We made patient-specific four-chamber heart meshes (n = 20) from cardiac CT images in asymptomatic subjects and created a SSM from 19 cases. Nine modes captured 90% of the anatomical variation in the SSM. Functional simulation outputs correlated best with modes 2, 3 and 9 on average (R = 0.49 ± 0.17, 0.37 ± 0.23 and 0.34 ± 0.17 respectively). We performed a global sensitivity analysis to identify the different modes responsible for different simulated electrical and mechanical measures of cardiac function. Modes 2 and 9 were the most important for determining simulated left ventricular mechanics and pressure-derived phenotypes. Mode 2 explained 28.56 ± 16.48% and 25.5 ± 20.85, and mode 9 explained 12.1 ± 8.74% and 13.54 ± 16.91% of the variances of mechanics and pressure-derived phenotypes, respectively. Electrophysiological biomarkers were explained by the interaction of 3 ± 1 modes. In the healthy adult human heart, shape modes that explain large portions of anatomical variance do not explain equivalent levels of electromechanical functional variation. As a result, in cardiac models, representing patient anatomy using a limited number of modes of anatomical variation can cause a loss in accuracy of simulated electromechanical function.https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1008851&type=printable |
| spellingShingle | Cristobal Rodero Marina Strocchi Maciej Marciniak Stefano Longobardi John Whitaker Mark D O'Neill Karli Gillette Christoph Augustin Gernot Plank Edward J Vigmond Pablo Lamata Steven A Niederer Linking statistical shape models and simulated function in the healthy adult human heart. PLoS Computational Biology |
| title | Linking statistical shape models and simulated function in the healthy adult human heart. |
| title_full | Linking statistical shape models and simulated function in the healthy adult human heart. |
| title_fullStr | Linking statistical shape models and simulated function in the healthy adult human heart. |
| title_full_unstemmed | Linking statistical shape models and simulated function in the healthy adult human heart. |
| title_short | Linking statistical shape models and simulated function in the healthy adult human heart. |
| title_sort | linking statistical shape models and simulated function in the healthy adult human heart |
| url | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1008851&type=printable |
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