Literature DB >> 34505180

Prediction of atherosclerotic changes in cavernous carotid aneurysms based on computational fluid dynamics analysis: a proof-of-concept study.

Shintaro Nakajima1,2, Shinichiro Sugiyama3, Hidenori Oishi4,5, Kenichi Sato6, Yasushi Matsumoto6, Kuniyasu Niizuma3,7,8, Miki Fujimura9, Teiji Tominaga3.   

Abstract

PURPOSE: Recent computational fluid dynamics (CFD) studies have demonstrated the concurrence of atherosclerotic changes in regions exposed to prolonged blood residence. In this proof-of-concept study, we investigated a small but homogeneous cohort of large, cavernous carotid aneurysms (CCAs) to establish the clinical feasibility of CFD analysis in treatment planning, based on the association between pathophysiology and hemodynamics.
METHODS: This study included 15 patients with individual large CCAs. We identified calcifications, which indicated atherosclerotic changes, using the masking data of digital subtraction angiography. We conducted a CFD simulation under patient-specific inlet flow rates measured using magnetic resonance (MR) velocimetry. In the post-CFD analysis, we calculated the blood residence time ([Formula: see text]) and segmented the surface exposed to blood residence time over 1 s ([Formula: see text]). We measured the decrease in volume after flow diversion using the original time-of-flight MR angiography data.
RESULTS: Calcifications were observed in the region with [Formula: see text]. In addition, the ratio of [Formula: see text] to the surface of the aneurysmal domain exhibited a negative relationship with the rate of volume reduction at the 6- and 12-month follow-ups. Post-CFD visualization demonstrated that intra-aneurysmal swirling flow prolonged blood residence time under the condition of a small inlet flow rate, when compared to the aneurysmal volume.
CONCLUSION: The results of this study suggest the usefulness of CFD analysis for the diagnosis of atherosclerotic changes in large CCAs that may affect the therapeutic response after flow diversion.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Aneurysm; Atherosclerosis; Blood residence time; Computational fluid dynamics; Flow diversion; Hemodynamics

Mesh:

Year:  2021        PMID: 34505180     DOI: 10.1007/s00234-021-02803-x

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  3 in total

1.  Local Hemodynamic Conditions Associated with Focal Changes in the Intracranial Aneurysm Wall.

Authors:  J R Cebral; F Detmer; B J Chung; J Choque-Velasquez; B Rezai; H Lehto; R Tulamo; J Hernesniemi; M Niemela; A Yu; R Williamson; K Aziz; S Shakur; S Amin-Hanjani; F Charbel; Y Tobe; A Robertson; J Frösen
Journal:  AJNR Am J Neuroradiol       Date:  2019-02-07       Impact factor: 3.825

2.  Continued growth of and increased symptoms from a thrombosed giant aneurysm of the vertebral artery after complete endovascular occlusion and trapping: the role of vasa vasorum. Case report.

Authors:  Koji Iihara; Kenichi Murao; Nobuyuki Sakai; Akio Soeda; Hatsue Ishibashi-Ueda; Chikao Yutani; Naoaki Yamada; Izumi Nagata
Journal:  J Neurosurg       Date:  2003-02       Impact factor: 5.115

3.  Image-based computational simulation of flow dynamics in a giant intracranial aneurysm.

Authors:  David A Steinman; Jaques S Milner; Chris J Norley; Stephen P Lownie; David W Holdsworth
Journal:  AJNR Am J Neuroradiol       Date:  2003-04       Impact factor: 3.825

  3 in total
  1 in total

1.  Modeling, Simulation and Validation of Alteration in Blood Flow and Regional Oxygenation Under Arterial Occlusion.

Authors:  Dalchand Ahirwar; Dheeraj Khurana; Shubhajit Roy Chowdhury
Journal:  J Med Syst       Date:  2022-10-05       Impact factor: 4.920

  1 in total

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