Literature DB >> 28462417

Nonuniform Moving Boundary Method for Computational Fluid Dynamics Simulation of Intrathecal Cerebrospinal Flow Distribution in a Cynomolgus Monkey.

Mohammadreza Khani1, Tao Xing2, Christina Gibbs3, John N Oshinski4, Gregory R Stewart5, Jillynne R Zeller6, Bryn A Martin7.   

Abstract

A detailed quantification and understanding of cerebrospinal fluid (CSF) dynamics may improve detection and treatment of central nervous system (CNS) diseases and help optimize CSF system-based delivery of CNS therapeutics. This study presents a computational fluid dynamics (CFD) model that utilizes a nonuniform moving boundary approach to accurately reproduce the nonuniform distribution of CSF flow along the spinal subarachnoid space (SAS) of a single cynomolgus monkey. A magnetic resonance imaging (MRI) protocol was developed and applied to quantify subject-specific CSF space geometry and flow and define the CFD domain and boundary conditions. An algorithm was implemented to reproduce the axial distribution of unsteady CSF flow by nonuniform deformation of the dura surface. Results showed that maximum difference between the MRI measurements and CFD simulation of CSF flow rates was <3.6%. CSF flow along the entire spine was laminar with a peak Reynolds number of ∼150 and average Womersley number of ∼5.4. Maximum CSF flow rate was present at the C4-C5 vertebral level. Deformation of the dura ranged up to a maximum of 134 μm. Geometric analysis indicated that total spinal CSF space volume was ∼8.7 ml. Average hydraulic diameter, wetted perimeter, and SAS area were 2.9 mm, 37.3 mm and 27.24 mm2, respectively. CSF pulse wave velocity (PWV) along the spine was quantified to be 1.2 m/s.

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Year:  2017        PMID: 28462417      PMCID: PMC5467026          DOI: 10.1115/1.4036608

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  29 in total

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2.  A one-dimensional model of the spinal cerebrospinal-fluid compartment.

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4.  Theoretical aspects of the attenuation of pressure pulses within cerebrospinal-fluid pathways.

Authors:  P Lockey; G Poots; B Williams
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5.  Cut to the chase: on the need for genotype-specific soft tissue sarcoma trials.

Authors:  A Gupta; D Church; D Barnes; A B Hassan
Journal:  Ann Oncol       Date:  2009-03       Impact factor: 32.976

6.  MR measurement of cerebrospinal fluid velocity wave speed in the spinal canal.

Authors:  Wojciech Kalata; Bryn A Martin; John N Oshinski; Michael Jerosch-Herold; Thomas J Royston; Francis Loth
Journal:  IEEE Trans Biomed Eng       Date:  2009-01-23       Impact factor: 4.538

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8.  Understanding pharmacokinetics using realistic computational models of fluid dynamics: biosimulation of drug distribution within the CSF space for intrathecal drugs.

Authors:  Andreas Kuttler; Thomas Dimke; Steven Kern; Gabriel Helmlinger; Donald Stanski; Luca A Finelli
Journal:  J Pharmacokinet Pharmacodyn       Date:  2010-12-07       Impact factor: 2.745

9.  The impact of spinal cord nerve roots and denticulate ligaments on cerebrospinal fluid dynamics in the cervical spine.

Authors:  Soroush Heidari Pahlavian; Theresia Yiallourou; R Shane Tubbs; Alexander C Bunck; Francis Loth; Mark Goodin; Mehrdad Raisee; Bryn A Martin
Journal:  PLoS One       Date:  2014-04-07       Impact factor: 3.240

10.  Hydrodynamic and longitudinal impedance analysis of cerebrospinal fluid dynamics at the craniovertebral junction in type I Chiari malformation.

Authors:  Bryn A Martin; Wojciech Kalata; Nicholas Shaffer; Paul Fischer; Mark Luciano; Francis Loth
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  7 in total

1.  Anthropomorphic Model of Intrathecal Cerebrospinal Fluid Dynamics Within the Spinal Subarachnoid Space: Spinal Cord Nerve Roots Increase Steady-Streaming.

Authors:  Mohammadreza Khani; Lucas R Sass; Tao Xing; M Keith Sharp; Olivier Balédent; Bryn A Martin
Journal:  J Biomech Eng       Date:  2018-08-01       Impact factor: 2.097

2.  A 3D subject-specific model of the spinal subarachnoid space with anatomically realistic ventral and dorsal spinal cord nerve rootlets.

Authors:  Lucas R Sass; Mohammadreza Khani; Gabryel Connely Natividad; R Shane Tubbs; Olivier Baledent; Bryn A Martin
Journal:  Fluids Barriers CNS       Date:  2017-12-19

3.  Computer simulation of syringomyelia in dogs.

Authors:  Srdjan Cirovic; Robert Lloyd; Jelena Jovanovik; Holger A Volk; Clare Rusbridge
Journal:  BMC Vet Res       Date:  2018-03-09       Impact factor: 2.741

4.  Characterization of intrathecal cerebrospinal fluid geometry and dynamics in cynomolgus monkeys (macaca fascicularis) by magnetic resonance imaging.

Authors:  Mohammadreza Khani; Braden J Lawrence; Lucas R Sass; Christina P Gibbs; Joshua J Pluid; John N Oshinski; Gregory R Stewart; Jillynne R Zeller; Bryn A Martin
Journal:  PLoS One       Date:  2019-02-27       Impact factor: 3.240

5.  In vitro and numerical simulation of blood removal from cerebrospinal fluid: comparison of lumbar drain to Neurapheresis therapy.

Authors:  Mohammadreza Khani; Lucas R Sass; M Keith Sharp; Aaron R McCabe; Laura M Zitella Verbick; Shivanand P Lad; Bryn A Martin
Journal:  Fluids Barriers CNS       Date:  2020-03-16

6.  Intrathecal catheter implantation decreases cerebrospinal fluid dynamics in cynomolgus monkeys.

Authors:  Mohammadreza Khani; Audrey Q Fu; Joshua Pluid; Christina P Gibbs; John N Oshinski; Tao Xing; Gregory R Stewart; Jillynne R Zeller; Bryn A Martin
Journal:  PLoS One       Date:  2020-12-30       Impact factor: 3.240

7.  Non-invasive MRI quantification of cerebrospinal fluid dynamics in amyotrophic lateral sclerosis patients.

Authors:  Lucas R Sass; Mohammadreza Khani; Jacob Romm; Marianne Schmid Daners; Kyle McCain; Tavara Freeman; Gregory T Carter; Douglas L Weeks; Brian Petersen; Jason Aldred; Dena Wingett; Bryn A Martin
Journal:  Fluids Barriers CNS       Date:  2020-01-21
  7 in total

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