What does computational fluid dynamics tell us about intracranial aneurysms? A meta-analysis and critical review
Author(s) -
Saqr Khalid M,
Rashad Sherif,
Tupin Simon,
Niizuma Kuniyasu,
Hassan Tamer,
Tominaga Teiji,
Ohta Makoto
Publication year - 2020
Publication title -
journal of cerebral blood flow and metabolism
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.167
H-Index - 193
eISSN - 1559-7016
pISSN - 0271-678X
DOI - 10.1177/0271678x19854640
Subject(s) - computational fluid dynamics , hemodynamics , fluid dynamics , non newtonian fluid , computer science , newtonian fluid , mechanics , statistical physics , cognitive science , physics , medicine , psychology , cardiology
Despite the plethora of published studies on intracranial aneurysms (IAs) hemodynamic using computational fluid dynamics (CFD), limited progress has been made towards understanding the complex physics and biology underlying IA pathophysiology. Guided by 1733 published papers, we review and discuss the contemporary IA hemodynamics paradigm established through two decades of IA CFD simulations. We have traced the historical origins of simplified CFD models which impede the progress of comprehending IA pathology. We also delve into the debate concerning the Newtonian fluid assumption used to represent blood flow computationally. We evidently demonstrate that the Newtonian assumption, used in almost 90% of studies, might be insufficient to describe IA hemodynamics. In addition, some fundamental properties of the Navier–Stokes equation are revisited in supplementary material to highlight some widely spread misconceptions regarding wall shear stress (WSS) and its derivatives. Conclusively, our study draws a roadmap for next-generation IA CFD models to help researchers investigate the pathophysiology of IAs.
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