Deciphering ascending thoracic aortic aneurysm hemodynamics in relation to biomechanical properties. (August 2020)

• Record Type: Journal Article
• Authors: De Nisco, Giuseppe; Tasso, Paola; Calò, Karol; Mazzi, Valentina; Gallo, Diego; Condemi, Francesca; Farzaneh, Solmaz; Avril, Stéphane; Morbiducci, Umberto
• Is Part Of: Medical engineering & physics. Volume 82(2020)
• Page Start: 119
• Page End: 129
• Publication Date: 2020-08
• Subjects: Ascending aorta aneurysm -- Computational hemodynamics -- Wall shear stress topological skeleton -- Complex networks -- Aortic wall stiffness; Biomedical engineering -- Periodicals; Biomedical Engineering -- Periodicals; Physics -- Periodicals; Génie biomédical -- Périodiques; Biomedical engineering; Electronic journals; Periodicals; 610.28
• DOI: 10.1016/j.medengphy.2020.07.003
• Languages: English
• ISSNs: 1350-4533

Abstract

Highlights: Spatiotemporal hemodynamic heterogeneity was quantified in ATAA and healthy aortas. Intravascular flow spatiotemporal heterogeneity influences the WSS topological skeleton. Peculiar WSS topological skeleton features are linked to local ATAA wall stiffness. The topological shear variation index is an indicator of local aortic wall degradation. WSS topological skeleton and complex networks deeper explain the hemodynamics disruption in ATAA. Abstract: The degeneration of the arterial wall at the basis of the ascending thoracic aortic aneurysm (ATAA) is a complex multifactorial process, which may lead to clinical complications and, ultimately, death. Individual genetic, biological or hemodynamic factors are inadequate to explain the heterogeneity of ATAA development/progression mechanisms, thus stimulating the analysis of their complex interplay. Here the disruption of the hemodynamic environment in the ATAA is investigated integrating patient-specific computational hemodynamics, CT-based in vivo estimation of local aortic stiffness and advanced fluid mechanics methods of analysis. The final aims are (1) deciphering the ATAA spatiotemporal hemodynamic complexity and its link to near-wall topological features, and (2) identifying the existing links between arterial wall degeneration and hemodynamic insult. Technically, two methodologies are applied to computational hemodynamics data, the wall shear stress (WSS) topological skeleton analysis, and the Complex Networks theory. The same analysis was extended to the healthy aorta. As main findings of the study, we report that: (1) different spatiotemporal heterogeneity characterizes the ATAA and healthy hemodynamics, that markedly reflect on their WSS topological skeleton features; (2) a link (stronger than canonical WSS-based descriptors) emerges between the variation of contraction/expansion action exerted by WSS on the endothelium along the cardiac cycle, and ATAA wall stiffness. The findings of the study suggest the use of advanced methods for a deeper understanding of the hemodynamics disruption in ATAA, and candidate WSS topological skeleton features as promising indicators of local wall degeneration.