Reproducibility of the computational fluid dynamic analysis of a cerebral aneurysm monitored over a decade

Journal article


Paritala, P.K., Anbananthan, H., Hautaniemi, J., Smith, M., George, A., Allenby, M., Mendieta, J.B., Wang, J., Maclachlan, L., Liang, E., Prior, M., Yarlagadda, P.K.D.V., Winter, C. and Li, Z. (2023). Reproducibility of the computational fluid dynamic analysis of a cerebral aneurysm monitored over a decade. Scientific Reports. 13, p. 219. https://doi.org/10.1038/s41598-022-27354-w
AuthorsParitala, P.K., Anbananthan, H., Hautaniemi, J., Smith, M., George, A., Allenby, M., Mendieta, J.B., Wang, J., Maclachlan, L., Liang, E., Prior, M., Yarlagadda, P.K.D.V., Winter, C. and Li, Z.
Abstract

Computational fluid dynamics (CFD) simulations are increasingly utilised to evaluate intracranial aneurysm (IA) haemodynamics to aid in the prediction of morphological changes and rupture risk. However, these models vary and differences in published results warrant the investigation of IA-CFD reproducibility. This study aims to explore sources of intra-team variability and determine its impact on the aneurysm morphology and CFD parameters. A team of four operators were given six sets of magnetic resonance angiography data spanning a decade from one patient with a middle cerebral aneurysm. All operators were given the same protocol and software for model reconstruction and numerical analysis. The morphology and haemodynamics of the operator models were then compared. The segmentation, smoothing factor, inlet and outflow branch lengths were found to cause intra-team variability. There was 80% reproducibility in the time-averaged wall shear stress distribution among operators with the major difference attributed to the level of smoothing. Based on these findings, it was concluded that the clinical applicability of CFD simulations may be feasible if a standardised segmentation protocol is developed. Moreover, when analysing the aneurysm shape change over a decade, it was noted that the co-existence of positive and negative values of the wall shear stress divergence (WSSD) contributed to the growth of a daughter sac.

Year2023
JournalScientific Reports
Journal citation13, p. 219
PublisherSpringer Nature
ISSN2045-2322
Digital Object Identifier (DOI)https://doi.org/10.1038/s41598-022-27354-w
Publication dates
Print05 Jan 2023
Publication process dates
Accepted30 Dec 2022
Deposited08 Jan 2024
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License
File Access Level
Open
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