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.

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