On the relationship between local hemodynamics and wall changes in cerebral aneurysms- A rare case with complete vascular tissue and lumen geometry

ORAL

Abstract

Intracranial aneurysms represent a significant medical challenge due to their potential for sudden rupture and consequent severe physical disabilities. Deciding on treatment – high-risk surgery or leaving them untreated - is a complex dilemma that stems from the absence of reliable rupture risk assessments. Accurate risk assessment requires conjoined studies of mechanics and wall biology to unveil precise failure mechanisms. However, the challenge lies in the infeasibility of capturing tissues' microstructures in vivo. Here we have a rare case with premortem clinical CTA images and postmortem dissected tissue from an entire aneurysm and neighboring vasculature. We implement a framework for generating a high-fidelity computational model and perform in silico simulation to identify how intramural wall structure is correlated with heterogeneous aneurysm flow and wall stress. In-vivo CT images were used to create the vasculature model for blood flow simulations, and post-mortem micro-CT and multiphoton images of the vascular wall were employed to create the 3D wall model, its lipid pool, collagen, and elastin matrices. The presented framework enables efficient implementation of these scarce invaluable data sources to understand how flow patterns impact wall integrity and strength.

** This research project was supported by the National Institutes of Health (NIH) grants 2R01NS097457 and 1S10OD025041. The authors wish to thank the Alzheimer’s Disease Research Center (ADRC) of the University of Pittsburgh for providing the cadaveric human cerebral vessels that were used in this study.

Presenters

  • Mehdi Ramezanpour

    • Department of Mechanical Engineering and Materials Science, University of Pittsburgh, PA, USA

Authors

  • Mehdi Ramezanpour

    • Department of Mechanical Engineering and Materials Science, University of Pittsburgh, PA, USA
  • Yasutaka Tobe

    • Department of Mechanical Engineering and Materials Science, University of Pittsburgh, PA, USA
  • Patrick Tatlonghari

    • Department of Bioengineering, University of Pittsburgh, PA, USA
  • Julia K Kofler

    • Department of Pathology, Division of Neuropathology, University of Pittsburgh, PA, USA
  • Juan R Cebral

    • Department of Mechanical Engineering, George Mason University, Fairfax, Virginia, USA
  • Anne M Robertson

    • Department of Mechanical Engineering and Materials Science, University of Pittsburgh, PA, USA