Literature DB >> 30243498

Errors in power-law estimations of inflow rates for intracranial aneurysm CFD.

C Chnafa1, P Bouillot2, O Brina3, M Najafi1, B M A Delattre4, M I Vargas2, V M Pereira5, D A Steinman6.   

Abstract

Patient-specific inflow rates are rarely available for computational fluid dynamics (CFD) studies of intracranial aneurysms. Instead, inflow rates are often estimated from parent artery diameters via power laws, i.e. Q ∝ Dn, reflecting adaptation of conduit arteries to demanded flow. The present study aimed to validate the accuracy of these power laws. Internal carotid artery (ICA) flow rates were measured from 25 ICA aneurysm patients via 2D phase contrast MRI. ICA diameters, derived from 3D segmentation of rotational angiograms, were used to estimate inflow rates via power laws from the aneurysm CFD literature assuming the same inlet wall shear stress (WSS) (n = 3), velocity (n = 2) or flow rate (n = 0) for all cases. To illustrate the potential impact of errors in flow rate estimates, pulsatile CFD was carried out for four cases having large errors for at least one power law. Flow rates estimated by n = 3 and n = 0 power laws had significant (p < 0.01) mean biases of -22% to +32%, respectively, but with individual errors ranging from -78% to +120%. The n = 2 power law had no significant bias, but had non-negligible individual errors of -58% to +71%. CFD showed similarly large errors for time-averaged sac WSS; however, these were reduced after normalizing by parent artery WSS. High frequency WSS fluctuations, evident in 2/4 aneurysms, were also sensitive to inflow rate errors. Care should therefore be exercised in the interpretation of aneurysm CFD studies that rely on power law estimates of inflow rates, especially if absolute (vs. normalized) WSS, or WSS instabilities, are of interest.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aneurysm; Computational fluid dynamics; Flow rates; Magnetic resonance imaging; Wall shear stress

Mesh:

Year:  2018        PMID: 30243498     DOI: 10.1016/j.jbiomech.2018.09.006

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


  3 in total

Review 1.  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

2.  Implementation of computer simulation to assess flow diversion treatment outcomes: systematic review and meta-analysis.

Authors:  Mingzi Zhang; Simon Tupin; Hitomi Anzai; Yutaro Kohata; Masaaki Shojima; Kosuke Suzuki; Yoshihiro Okamoto; Katsuhiro Tanaka; Takanobu Yagi; Soichiro Fujimura; Makoto Ohta
Journal:  J Neurointerv Surg       Date:  2020-10-23       Impact factor: 5.836

3.  Association Between Aneurysmal Haemodynamics and Device Microstructural Characteristics After Flow-Diversion Treatments With Dual Stents of Different Sizes: A Numerical Study.

Authors:  Mingzi Zhang; Simon Tupin; Yujie Li; Makoto Ohta
Journal:  Front Physiol       Date:  2021-05-25       Impact factor: 4.566

  3 in total

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