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Published on: February 23, 2020
Stress Load and Ascending Aortic Aneurysms: An Observational, Longitudinal, Single-Center Study Using Computational
Fabiula Schwartz de Azevedo1,2, Gabriela de Castro Almeida3, Bruno Alvares de Azevedo3
1Department of Cardiology, Federal University of Rio de Janeiro, Rio de Janeiro 21941-913, RJ, Brazil.
Insights
High pressure and wall shear stress in ascending aortic aneurysms (AAoA) are linked to disease growth. Computational fluid dynamics revealed these hemodynamic factors predict a worse prognosis for AAoA.
Area of Science:
- Cardiovascular Medicine
- Biomedical Engineering
- Medical Imaging
Background:
- Ascending aortic aneurysm (AAoA) is a significant cause of mortality.
- Prognostic factors for AAoA progression remain incompletely understood.
- Understanding mechanobiology is crucial for AAoA progression.
Purpose of the Study:
- To identify hemodynamic patterns influencing AAoA growth.
- To investigate the impact of geometrical variations on aortic hemodynamics.
- To correlate hemodynamic parameters with aneurysm expansion.
Main Methods:
- Observational, longitudinal, single-center study.
- Utilized computational fluid dynamics (CFD) on personalized aortic models from angiotomography scans.
- Analyzed 30 patients over 1-3 year intervals, assessing aneurysm volume changes.
Main Results:
- Hemodynamic factors associated with AAoA growth identified.
- High average/maximum pressure (>100 Pa) correlated with growth.
- High wall shear stress (>7 Pa) combined with high pressure, and stress load over time also predicted growth.
Conclusions:
- Hemodynamic patterns, including pressure and wall shear stress, are key indicators of AAoA progression.
- CFD analysis provides valuable insights into AAoA mechanobiology.
- Findings may contribute to improved prognosis prediction for ascending aortic aneurysms.
Abstract:
Ascending aortic aneurysm (AAoA) is a silent disease with high mortality; however, the factors associated with a worse prognosis are not completely understood. The objective of this observational, longitudinal, single-center study was to identify the hemodynamic patterns and their influence on AAoA growth using computational fluid dynamics (CFD), focusing on the effects of geometrical variations on aortic hemodynamics. Personalized anatomic models were obtained from angiotomography scans of 30 patients in two different years (with intervals of one to three years between them), of which 16 (53%) showed aneurysm growth (defined as an increase in the ascending aorta volume by 5% or more). Numerically determined velocity and pressure fields were compared with the outcome of aneurysm growth. Through a statistical analysis, hemodynamic characteristics were found to be associated with aneurysm growth: average and maximum high pressure (superior to 100 Pa); average and maximum high wall shear stress (superior to 7 Pa) combined with high pressure (>100 Pa); and stress load over time (maximum pressure multiplied by the time interval between the exams). This study provides insights into a worse prognosis of this serious disease and may collaborate for the expansion of knowledge about mechanobiology in the progression of AAoA.
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