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PMID: 40901362 Published · epublish English Journal Article

Hemodynamic predictors of rupture in abdominal aortic aneurysms: a case series using computational fluid dynamics.

Frontiers in cardiovascular medicine ·Vol. 12 ·2025-00-00 ·页码 1633938

Moon K, Lee Y, Lee J, Son Y, Woo Y, Jang E, Yun S, Park S, Kim J

Abstract

Abdominal aortic aneurysm (AAA) rupture is a life-threatening event traditionally predicted by aneurysm diameter. However, many clinical observations have revealed that rupture can occur even in small aneurysms, suggesting the influence of additional biomechanical factors such as hemodynamics. The aim of this case series was to perform computational fluid dynamics (CFD) analyses based on CT scans of patients with confirmed abdominal aortic aneurysm rupture and to evaluate correlations between rupture sites and hemodynamic factors derived from simulations. This study analyzed four patients with confirmed ruptured fusiform infrarenal AAAs. Three-dimensional patient-specific models were reconstructed from CT scans and simulated using SimVascular, an open-source CFD platform. Simulations incorporated pulsatile inlet flow and three-element Windkessel outlet boundary conditions to calculate the following key hemodynamic parameters: time-averaged wall shear stress (TAWSS), oscillatory shear index (OSI), endothelial cell activation potential (ECAP), and relative residence time (RRT). Rupture sites were compared with spatial distributions of these parameters. Intraluminal thrombus (ILT) regions were estimated by overlaying flow lumen boundaries with the aneurysmal wall. Rupture consistently occurred in regions of low TAWSS, high OSI, elevated ECAP, and high RRT. These sites also showed flow stagnation during systole and recirculation during diastole. ECAP demonstrated the highest spatial specificity for rupture. Overlay models revealed that ILT-prone zones corresponded with high-RRT regions and often co-localized with rupture sites. CFD-derived hemodynamic parameters, particularly ECAP was spatially correlated with AAA rupture sites. These findings support the utility of CFD in identifying rupture-prone regions and suggest its potential as a supplementary tool for risk stratification beyond diameter-based criteria.

Keywords
abdominal aortic aneurysm computational fluid dynamics hemodynamics rupture wall shear stress
作者与单位
共 9 位作者,点击展开单位 / ORCID
Moon Kiyoon
Division of Vascular and Transplant Surgery, Department of Surgery, The Catholic University of Korea, Seoul, Republic of Korea.
Lee Yosep
Department of Cardiovascular Intervention Laboratory, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
Lee Junseong
Department of Cardiovascular Intervention Laboratory, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
Son Youngki
Department of Healthcare & Artificial Intelligence, The Catholic University of Korea, Seoul, Republic of Korea.
Woo Youngje
Division of Vascular and Transplant Surgery, Department of Surgery, The Catholic University of Korea, Seoul, Republic of Korea.
Jang Eunju
Division of Vascular and Transplant Surgery, Department of Surgery, The Catholic University of Korea, Seoul, Republic of Korea.
Yun Sangseob
Division of Vascular and Transplant Surgery, Department of Surgery, The Catholic University of Korea, Seoul, Republic of Korea.
Park Suncheol
Division of Vascular and Transplant Surgery, Department of Surgery, The Catholic University of Korea, Seoul, Republic of Korea.
Kim Jangyong
Division of Vascular and Transplant Surgery, Department of Surgery, The Catholic University of Korea, Seoul, Republic of Korea.
Article Info
Journal
Frontiers in cardiovascular medicine
Abbr.
Front Cardiovasc Med
ISSN
2297-055X
Published
2025-00-00
电子出版
2025-00-18
页码
1633938
Language
English
Country/Region
Switzerland
NLM ID
101653388
勘误 / 撤稿关联
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