Literature DB >> 25062933

High-resolution computational fluid dynamics detects flow instabilities in the carotid siphon: implications for aneurysm initiation and rupture?

Kristian Valen-Sendstad1, Marina Piccinelli2, David A Steinman3.   

Abstract

The carotid siphon is by nature a tortuous vessel segment with sharp bends and large area variations, and of relevance to the study of intracranial aneurysm initiation and rupture. The aim of this paper was to determine whether the siphon might harbor flow instabilities, if care is taken to resolve them. This study focused on five consecutive internal carotid artery (ICA) aneurysm cases from the open-source Aneurisk dataset. The aneurysm, always downstream of the siphon, was digitally removed using previously developed and verified tools. Computational fluid dynamic (CFD) models included long cervical segments upstream, and middle and anterior cerebral arteries downstream. High-resolution pulsatile simulations were performed using the equivalent of ~24 million linear tetrahedra on average (range 16-32 M) and 30,000 time-steps/cycle. Two of the five cases were laminar with mild flow instabilities right after peak systole. One of the cases experienced strong periodic vortex shedding at a frequency of around 100 Hz. The remaining two cases harbored higher frequency flow instabilities and complex 3D vortical structures, extending to the cerebral arteries downstream. Our findings suggest that the carotid siphon, a conduit to the majority of anterior intracranial aneurysms, may experience flow instabilities, consistent with in vitro reports, but seemingly at odds with the majority of CFD studies, which have been done at lower resolutions. This has obvious implications for elucidating the forces involved in aneurysm initiation; and propagation of flow instabilities into ICA or downstream aneurysms could also impact understanding of the forces involved in aneurysm rupture.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aneurysm; Carotid artery; Computational fluid dynamics; Transitional flow; Turbulence; Vortex-shedding

Mesh:

Year:  2014        PMID: 25062933     DOI: 10.1016/j.jbiomech.2014.04.018

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  19 in total

1.  A non-dimensional parameter for classification of the flow in intracranial aneurysms. II. Patient-specific geometries.

Authors:  Hafez Asgharzadeh; Hossein Asadi; Hui Meng; Iman Borazjani
Journal:  Phys Fluids (1994)       Date:  2019-03-26       Impact factor: 3.521

2.  Modeling hemodynamics in intracranial aneurysms: Comparing accuracy of CFD solvers based on finite element and finite volume schemes.

Authors:  Lorenzo Botti; Nikhil Paliwal; Pierangelo Conti; Luca Antiga; Hui Meng
Journal:  Int J Numer Method Biomed Eng       Date:  2018-07-20       Impact factor: 2.747

3.  Flow Instability Detected by High-Resolution Computational Fluid Dynamics in Fifty-Six Middle Cerebral Artery Aneurysms.

Authors:  Nicole Varble; Jianping Xiang; Ning Lin; Elad Levy; Hui Meng
Journal:  J Biomech Eng       Date:  2016-06       Impact factor: 2.097

Review 4.  What does computational fluid dynamics tell us about intracranial aneurysms? A meta-analysis and critical review.

Authors:  Khalid M Saqr; Sherif Rashad; Simon Tupin; Kuniyasu Niizuma; Tamer Hassan; Teiji Tominaga; Makoto Ohta
Journal:  J Cereb Blood Flow Metab       Date:  2019-06-18       Impact factor: 6.200

5.  The effect of inlet and outlet boundary conditions in image-based CFD modeling of aortic flow.

Authors:  Sudharsan Madhavan; Erica M Cherry Kemmerling
Journal:  Biomed Eng Online       Date:  2018-05-30       Impact factor: 2.819

6.  Narrowing the Expertise Gap for Predicting Intracranial Aneurysm Hemodynamics: Impact of Solver Numerics versus Mesh and Time-Step Resolution.

Authors:  M O Khan; K Valen-Sendstad; D A Steinman
Journal:  AJNR Am J Neuroradiol       Date:  2015-03-05       Impact factor: 3.825

7.  Better Than Nothing: A Rational Approach for Minimizing the Impact of Outflow Strategy on Cerebrovascular Simulations.

Authors:  C Chnafa; O Brina; V M Pereira; D A Steinman
Journal:  AJNR Am J Neuroradiol       Date:  2017-12-21       Impact factor: 3.825

8.  Integrating computational fluid dynamics data into medical image visualization workflows via DICOM.

Authors:  Lucas Temor; Nicole M Cancelliere; Daniel E MacDonald; Peter W Coppin; Vitor M Pereira; David A Steinman
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-04-10       Impact factor: 2.924

9.  Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)-phase II: rupture risk assessment.

Authors:  Philipp Berg; Samuel Voß; Gábor Janiga; Sylvia Saalfeld; Aslak W Bergersen; Kristian Valen-Sendstad; Jan Bruening; Leonid Goubergrits; Andreas Spuler; Tin Lok Chiu; Anderson Chun On Tsang; Gabriele Copelli; Benjamin Csippa; György Paál; Gábor Závodszky; Felicitas J Detmer; Bong J Chung; Juan R Cebral; Soichiro Fujimura; Hiroyuki Takao; Christof Karmonik; Saba Elias; Nicole M Cancelliere; Mehdi Najafi; David A Steinman; Vitor M Pereira; Senol Piskin; Ender A Finol; Mariya Pravdivtseva; Prasanth Velvaluri; Hamidreza Rajabzadeh-Oghaz; Nikhil Paliwal; Hui Meng; Santhosh Seshadhri; Sreenivas Venguru; Masaaki Shojima; Sergey Sindeev; Sergey Frolov; Yi Qian; Yu-An Wu; Kent D Carlson; David F Kallmes; Dan Dragomir-Daescu; Oliver Beuing
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-05-03       Impact factor: 2.924

Review 10.  Cardiovascular magnetic resonance phase contrast imaging.

Authors:  Krishna S Nayak; Jon-Fredrik Nielsen; Matt A Bernstein; Michael Markl; Peter D Gatehouse; Rene M Botnar; David Saloner; Christine Lorenz; Han Wen; Bob S Hu; Frederick H Epstein; John N Oshinski; Subha V Raman
Journal:  J Cardiovasc Magn Reson       Date:  2015-08-09       Impact factor: 5.364

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