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PMID: 30523533 Published · ppublish English Journal Article

Evidence for non-Newtonian behavior of intracranial blood flow from Doppler ultrasonography measurements.

Medical & biological engineering & computing ·Vol. 57 ·No. 5 ·2019-05-00 ·页码 1029-1036

Saqr KM, Mansour O, Tupin S, Hassan T, Ohta M

Abstract

Computational fluid dynamics (CFD) studies of intracranial hemodynamics often use Newtonian viscosity model to close the shear rate term in the Navier-Stokes equation. This is based on a commonly accepted hypothesis which state that non-Newtonian effects can be neglected in intracranial blood flow. This study aims to examine the validity of such hypothesis to guide future CFD studies of intracranial hemodynamics. Doppler ultrasonography (DUS) measurements of systolic and diastolic vessel diameter and blood velocity were conducted on 16 subjects (mean age 50.6). The measurements were conducted on the internal carotid (ICA), middle cerebral (MCA), and anterior communicating (AComA) arteries. Systolic and diastolic wall shear stress (WSS) values were calculated via the Hagen-Poiseuille exact solution using Newtonian and three different non-Newtonian models: namely Carreau, power-law and Herschel-Bulkley models. The Weissenberg-Rabinowitsch correction for blood shear-thinning viscosity was applied to the non-Newtonian models. The error percentage between the two sets of models was calculated and discussed. The Newtonian hypothesis was tested statistically and discussed using paired t tests. Significant differences (P < 0.0001) were found between the Newtonian and non-Newtonian WSS in ICA. In MCA and AComA, similar differences were found except in the systole and diastole for the Herschel-Bulkley and power-law models (P = 0.0669, P = 0.7298), respectively. The error between the Newtonian and non-Newtonian models ranged from - 27 to 30% (0.2 to 2.2 Pa). These values could affect the physical interpretation of IA CFD studies. Evidence suggests that the Newtonian assumption may be inappropriate to investigate intracranial hemodynamics. Graphical abstract The WSS estimation error resulting from using the Newtonian assumption compared to three non-Newtonian models for ICA, MCA, and AComA in systole and diastole conditions, based on TCCD measurements of 16 subjects. The error due to the Newtonian assumption ranged from 0.2 to 2.2 Pa (- 27 to 30%). These values could affect the physical interpretation of IA CFD studies.

Keywords
Blood rheology Blood viscosity Doppler ultrasound Intracranial hemodynamics Non-Newtonian flow
MeSH 主题词
Blood Flow Velocity/physiology Carotid Artery, Internal/diagnostic imaging Cerebral Arteries/diagnostic imaging Cerebrovascular Circulation/physiology Female Hemodynamics Humans Male Middle Aged Middle Cerebral Artery/diagnostic imaging Models, Cardiovascular Ultrasonography, Doppler/methods,statistics & numerical data
作者与单位
共 5 位作者,点击展开单位 / ORCID
Saqr Khalid M ORCID
Biomedical Flow Dynamics Laboratory, Institute of Fluid Science, Tohoku University, Sendai, Miyagi, 980-8577, Japan. [email protected]. | College of Engineering and Technology, Arab Academy for Science, Technology and Maritime Transport (AASTMT), Abu Kir, Alexandria, 1029, Egypt. [email protected]. | Research Center for Computational Neurovascular Biomechanics (RCCNB), Smouha University Hospital, Alexandria University, Alexandria, 21648, Egypt. [email protected].
Mansour Ossama
Research Center for Computational Neurovascular Biomechanics (RCCNB), Smouha University Hospital, Alexandria University, Alexandria, 21648, Egypt. | Department of Neurology, Stroke Unit, Alexandria University School of Medicine, Azarita Medical Campus, Alexandria, 21514, Egypt.
Tupin Simon
Biomedical Flow Dynamics Laboratory, Institute of Fluid Science, Tohoku University, Sendai, Miyagi, 980-8577, Japan.
Hassan Tamer
Research Center for Computational Neurovascular Biomechanics (RCCNB), Smouha University Hospital, Alexandria University, Alexandria, 21648, Egypt. | Department of Neurosurgery, Alexandria University School of Medicine, Azarita Medical Campus, Alexandria, 21514, Egypt.
Ohta Makoto
Biomedical Flow Dynamics Laboratory, Institute of Fluid Science, Tohoku University, Sendai, Miyagi, 980-8577, Japan.
Article Info
Journal
Medical & biological engineering & computing
Abbr.
Med Biol Eng Comput
ISSN
1741-0444
Corresponding email
Published
2019-05-00
电子出版
2018-00-07
页码
1029-1036
Language
English
Country/Region
United States
NLM ID
7704869
基金资助
Science and Technology Development Fund · 5219
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