Statistical Shape Analysis of Ascending Thoracic Aortic Aneurysm: Correlation between Shape and Biomechanical Descriptors
An ascending thoracic aortic aneurysm (ATAA) is a heterogeneous disease showing different patterns of aortic dilatation and valve morphologies, each with distinct clinical course. This study aimed to explore the aortic morphology and the associations between shape and function in a population of ATA...
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MDPI AG
2020-04-01
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| Series: | Journal of Personalized Medicine |
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| Online Access: | https://www.mdpi.com/2075-4426/10/2/28 |
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| author | Federica Cosentino Giuseppe M Raffa Giovanni Gentile Valentina Agnese Diego Bellavia Michele Pilato Salvatore Pasta |
| author_facet | Federica Cosentino Giuseppe M Raffa Giovanni Gentile Valentina Agnese Diego Bellavia Michele Pilato Salvatore Pasta |
| author_sort | Federica Cosentino |
| collection | DOAJ |
| description | An ascending thoracic aortic aneurysm (ATAA) is a heterogeneous disease showing different patterns of aortic dilatation and valve morphologies, each with distinct clinical course. This study aimed to explore the aortic morphology and the associations between shape and function in a population of ATAA, while further assessing novel risk models of aortic surgery not based on aortic size. Shape variability of <i>n</i> = 106 patients with ATAA and different valve morphologies (i.e., bicuspid versus tricuspid aortic valve) was estimated by statistical shape analysis (SSA) to compute a mean aortic shape and its deformation. Once the computational atlas was built, principal component analysis (PCA) allowed to reduce the complex ATAA anatomy to a few shape modes, which were correlated to shear stress and aortic strain, as determined by computational analysis. Findings demonstrated that shape modes are associated to specific morphological features of aneurysmal aorta as the vessel tortuosity and local bulging of the ATAA. A predictive model, built with principal shape modes of the ATAA wall, achieved better performance in stratifying surgically operated ATAAs versus monitored ATAAs, with respect to a baseline model using the maximum aortic diameter. Using current imaging resources, this study demonstrated the potential of SSA to investigate the association between shape and function in ATAAs, with the goal of developing a personalized approach for the treatment of the severity of aneurysmal aorta. |
| first_indexed | 2024-03-10T20:18:09Z |
| format | Article |
| id | doaj.art-37a7b2ce9a1143ae8b296c3bda6f8ab3 |
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| issn | 2075-4426 |
| language | English |
| last_indexed | 2024-03-10T20:18:09Z |
| publishDate | 2020-04-01 |
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| record_format | Article |
| series | Journal of Personalized Medicine |
| spelling | doaj.art-37a7b2ce9a1143ae8b296c3bda6f8ab32023-11-19T22:24:17ZengMDPI AGJournal of Personalized Medicine2075-44262020-04-011022810.3390/jpm10020028Statistical Shape Analysis of Ascending Thoracic Aortic Aneurysm: Correlation between Shape and Biomechanical DescriptorsFederica Cosentino0Giuseppe M Raffa1Giovanni Gentile2Valentina Agnese3Diego Bellavia4Michele Pilato5Salvatore Pasta6Promozione della Salute, Materno-Infantile, di Medicina Interna e Specialistica di Eccellenza “G. D’Alessandro”, Piazza delle Cliniche, University of Palermo, n.2, 90128 Palermo, ItalyDepartment for the Treatment and Study of Cardiothoracic Diseases and Cardiothoracic Transplantation, IRCCS-ISMETT, via Tricomi n.5, 90127 Palermo, ItalyDepartment of Diagnostic and Therapeutic Services, Radiology Unit, IRCCS-ISMETT, via Tricomi n.5, 90127 Palermo, ItalyDepartment for the Treatment and Study of Cardiothoracic Diseases and Cardiothoracic Transplantation, IRCCS-ISMETT, via Tricomi n.5, 90127 Palermo, ItalyDepartment for the Treatment and Study of Cardiothoracic Diseases and Cardiothoracic Transplantation, IRCCS-ISMETT, via Tricomi n.5, 90127 Palermo, ItalyDepartment for the Treatment and Study of Cardiothoracic Diseases and Cardiothoracic Transplantation, IRCCS-ISMETT, via Tricomi n.5, 90127 Palermo, ItalyDepartment of Engineering, Viale delle Scienze, Ed.8, University of Palermo, 90128 Palermo, ItalyAn ascending thoracic aortic aneurysm (ATAA) is a heterogeneous disease showing different patterns of aortic dilatation and valve morphologies, each with distinct clinical course. This study aimed to explore the aortic morphology and the associations between shape and function in a population of ATAA, while further assessing novel risk models of aortic surgery not based on aortic size. Shape variability of <i>n</i> = 106 patients with ATAA and different valve morphologies (i.e., bicuspid versus tricuspid aortic valve) was estimated by statistical shape analysis (SSA) to compute a mean aortic shape and its deformation. Once the computational atlas was built, principal component analysis (PCA) allowed to reduce the complex ATAA anatomy to a few shape modes, which were correlated to shear stress and aortic strain, as determined by computational analysis. Findings demonstrated that shape modes are associated to specific morphological features of aneurysmal aorta as the vessel tortuosity and local bulging of the ATAA. A predictive model, built with principal shape modes of the ATAA wall, achieved better performance in stratifying surgically operated ATAAs versus monitored ATAAs, with respect to a baseline model using the maximum aortic diameter. Using current imaging resources, this study demonstrated the potential of SSA to investigate the association between shape and function in ATAAs, with the goal of developing a personalized approach for the treatment of the severity of aneurysmal aorta.https://www.mdpi.com/2075-4426/10/2/28shape analysisprincipal component analysisshear stress: straincomputational modeling |
| spellingShingle | Federica Cosentino Giuseppe M Raffa Giovanni Gentile Valentina Agnese Diego Bellavia Michele Pilato Salvatore Pasta Statistical Shape Analysis of Ascending Thoracic Aortic Aneurysm: Correlation between Shape and Biomechanical Descriptors Journal of Personalized Medicine shape analysis principal component analysis shear stress: strain computational modeling |
| title | Statistical Shape Analysis of Ascending Thoracic Aortic Aneurysm: Correlation between Shape and Biomechanical Descriptors |
| title_full | Statistical Shape Analysis of Ascending Thoracic Aortic Aneurysm: Correlation between Shape and Biomechanical Descriptors |
| title_fullStr | Statistical Shape Analysis of Ascending Thoracic Aortic Aneurysm: Correlation between Shape and Biomechanical Descriptors |
| title_full_unstemmed | Statistical Shape Analysis of Ascending Thoracic Aortic Aneurysm: Correlation between Shape and Biomechanical Descriptors |
| title_short | Statistical Shape Analysis of Ascending Thoracic Aortic Aneurysm: Correlation between Shape and Biomechanical Descriptors |
| title_sort | statistical shape analysis of ascending thoracic aortic aneurysm correlation between shape and biomechanical descriptors |
| topic | shape analysis principal component analysis shear stress: strain computational modeling |
| url | https://www.mdpi.com/2075-4426/10/2/28 |
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