Blood flow assessment of aortic aneurysms implanted with stent graft using computational fluid dynamics

Authors

Allain Kyle C. Talosig ⋅ PH Department of Physics, Polytechnic University of the Philippines
Joshua A. Estrella ⋅ PH Department of Physical Sciences, Polytechnic University of the Philippines
Stephanie V. Gersalia ⋅ PH Department of Physical Sciences, Polytechnic University of the Philippines
Mark Anthony C. Burgonio ⋅ PH Radiation Oncology Department, Cebu Cancer Institute, Perpetual Succour Hospital of Cebu, Inc.

Abstract

Abdominal aortic aneurysms (AAAs) pose a threat to one's life which is why early treatment procedures such as Endovascular Aneurysm Repair (EVAR) are advised. To further maximize EVAR treatments, we propose a pre-and post-treatment method by assessing the blood flow of patient-specific Untreated AAAs adopted from Miller et al. [J. Surg. Res. 252, 37 (2021)] and SG-Treated AAAs modeled by the proponents. A healthy abdominal aorta (HAA) was also introduced as a control model which will then be used for the baseline value. These models were imported to ANSYS Workbench 2022 R1 to be set up for CFD simulation. By looking at the contour planes, streamlines, and Reynolds numbers, it was observed that the velocity and behavior of the blood flow varied depending on the anatomy of the models. In conclusion, stent graft-treated AAAs provided better and improved hemodynamics than untreated AAAs due to their new healthy-like anatomy implying that the velocity and behavior of the blood flow are regulated.

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Issue

2023: Proceedings of the 41st Samahang Pisika ng Pilipinas Physics Conference

Article ID

SPP-2023-PB-29

Section

Poster Session B (Complex Systems, Simulations, and Theoretical Physics)

Published

2023-07-12

How to Cite

[1]

AKC Talosig, JA Estrella, SV Gersalia, and MAC Burgonio, Blood flow assessment of aortic aneurysms implanted with stent graft using computational fluid dynamics, Proceedings of the Samahang Pisika ng Pilipinas 41, SPP-2023-PB-29 (2023). URL: https://proceedings.spp-online.org/article/view/SPP-2023-PB-29.