Evidence map›Paper›PMID 41860196›Full record

ArticleInternational journal for numerical methods in biomedical engineering2026

Integrated Assessment of Wall Shear Stress-Related Hemodynamic Parameters in Abdominal Aortic Aneurysms: A Retrospective Cross-Sectional Study on Ruptured Cases.

Onur Mutlu, Rahib A Khan, Huseyin E Salman, Ayman El-Menyar, Mehmet M Yavuz, Muhammad E H Chowdhury, Hassan Al-Thani, Huseyin C Yalcin

Abstract read
In one paragraph

Article in International journal for numerical methods in biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Onur MutluBiomedical Research Center, QU Health, Qatar University, Doha, Qatar.
Rahib A KhanBiomedical Research Center, QU Health, Qatar University, Doha, Qatar.
Huseyin E SalmanDepartment of Mechanical Engineering, TOBB University of Economics and Technology, Ankara, Turkey.ORCID https://orcid.org/0000-0001-7572-9902
Ayman El-MenyarDepartment of Surgery, Trauma and Vascular Surgery, Hamad General Hospital, Hamad Medical Corporation, Doha, Qatar.
Mehmet M YavuzDepartment of Mechanical Engineering, Middle East Technical University, Ankara, Turkey.ORCID https://orcid.org/0000-0002-9491-4115
Muhammad E H ChowdhuryDepartment of Electrical Engineering, College of Engineering, Qatar University, Doha, Qatar.ORCID https://orcid.org/0000-0003-0744-8206
Hassan Al-ThaniDepartment of Surgery, Trauma and Vascular Surgery, Hamad General Hospital, Hamad Medical Corporation, Doha, Qatar.
Huseyin C YalcinBiomedical Research Center, QU Health, Qatar University, Doha, Qatar.ORCID https://orcid.org/0000-0003-3825-9934

Funding

Qatar National LibraryQatar National Research Fund NPRP13S-0108-200024Qatar University 378Qatar University IRCC 2020-002Türkiye Bilimsel ve Teknolojik Araştırma Kurumu 221M001
6 · The paper itself

Abstract

Abdominal aortic aneurysms (AAAs) are a serious medical condition that may culminate in internal bleeding and death. Clinicians are expected to assess the rupture risk of AAAs accurately to determine the mode and timing of intervention. In general practice, AAA diameter and growth rate are used as rupture risk indicators. However, numerous cases have been reported where relying solely on these two AAA characteristics has proven insufficient, suggesting that other biomechanical factors deserve further consideration. This paper aims to investigate the involvement of disturbed hemodynamics in AAA rupture. Twenty-two AAA cases that had progressed to the point where surgical intervention was necessitated were assessed to examine the flow dynamics around the rupture sites. Using computational fluid dynamics (CFD), four key wall shear stress (WSS)-related hemodynamic parameters were calculated for each studied case, namely the time-averaged wall shear stress (TAWSS), oscillatory shear index (OSI), endothelial cell activation potential (ECAP), and relative residence time (RRT). CFD geometries were developed exclusively using patient computed tomography images, and simulations were run with general physiological boundary conditions to demonstrate a clinically practical, low-input CFD pipeline. The study found that analyzing the spatial distribution of the WSS-related hemodynamic parameters can be a powerful approach for predicting the site of rupture in AAAs. Low TAWSS and high OSI/ECAP/RRT regions (specifically within the ranges: TAWSS 0-0.5 Pa, OSI 0.35-0.5, ECAP 1.6-2.0 Pa

Indexed as

Aortic Aneurysm, AbdominalAortic RuptureHemodynamicsAgedCross-Sectional StudiesFemaleHumansHydrodynamicsMaleModels, CardiovascularRetrospective StudiesShear StrengthStress, Mechanicalabdominal aortic aneurysmcomputational fluid dynamicshemodynamicsrupturewall shear stress

Identifiers

PMID41860196
PMCPMC13003724

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.