Statistical shape analysis of ascending thoracic aortic aneurysm: Correlation between shape and biomechanical descriptors
| Autor: | Valentina Agnese, Federica Cosentino, Giovanni Gentile, Giuseppe Maria Raffa, Michele Pilato, Diego Bellavia, Salvatore Pasta |
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| Přispěvatelé: | Cosentino F., Raffa G.M., Gentile G., Agnese V., Bellavia D., Pilato M., Pasta S. |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Aortic valve
principal component analysis 0206 medical engineering Population shape analysis lcsh:Medicine Medicine (miscellaneous) Principal component analysi 02 engineering and technology 030204 cardiovascular system & hematology Thoracic aortic aneurysm Tortuosity Article Correlation 03 medical and health sciences 0302 clinical medicine medicine.artery medicine Shear stress: strain education education.field_of_study Aorta Shape analysi business.industry Statistical shape analysis lcsh:R Computational modeling Anatomy medicine.disease 020601 biomedical engineering medicine.anatomical_structure cardiovascular system business Shape analysis (digital geometry) |
| Zdroj: | Journal of Personalized Medicine Volume 10 Issue 2 Journal of Personalized Medicine, Vol 10, Iss 28, p 28 (2020) |
| Popis: | 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 n = 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. |
| Databáze: | OpenAIRE |
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