Evidence map›Paper›PMID 28462417›Full record

ArticleJournal of biomechanical engineering2017

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

Mohammadreza Khani, Tao Xing, Christina Gibbs, John N Oshinski, Gregory R Stewart, Jillynne R Zeller, Bryn A Martin

Abstract read
In one paragraph

Article in Journal of biomechanical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Computational Fluid Dynamics of Cerebrospinal Fluid.Advances in experimental medicine and biology · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Computer simulation of syringomyelia in dogs.BMC veterinary research · 2018
    Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Mohammadreza KhaniNeurophysiological Imaging and Modeling Laboratory, Department of Biological Engineering, University of Idaho, Moscow, ID 83844 e-mail: Khan0242@vandals.uidaho.edu.
Tao XingDepartment of Mechanical Engineering, University of Idaho, Moscow, ID 83844 e-mail: xing@uidaho.edu.
Christina GibbsNeurophysiological Imaging and Modeling Laboratory, Department of Biological Engineering, University of Idaho, Moscow, ID 83844 e-mail: gibb6751@vandals.uidaho.edu.
John N OshinskiDepartment of Radiology, Emory University, Atlanta, GA 30322 e-mail: jnoshin@emory.edu.
Gregory R StewartAlchemy Neuroscience, Hanover, MA 02340 e-mail: grstewart77@gmail.com.
Jillynne R ZellerNorthern Biomedical Research, Spring Lake, MI 49456 e-mail: Jill.Zeller@northernbiomedical.com.
Bryn A MartinNeurophysiological Imaging and Modeling Laboratory, Department of Biological Engineering, University of Idaho, Moscow, ID 83844 e-mail: brynm@uidaho.edu.

Funding

Women's health: interplay of maternal diet and key demographics on neurological health in the rural frontier and remote WestP20GM103408 · NIGMS · UNIVERSITY OF IDAHO · PI Kenneth A Cornell · 2012 to 2026
$59.8M
Tracking and EvaluationU54GM104944 · NIGMS · UNIVERSITY OF NEVADA LAS VEGAS · PI KUMAR, PARVESH · 2013 to 2023
$39.6M
Highly Accelerated Simultaneous Multi-Slice Phase Contrast MRIR44MH112210 · NIMH · ADVANCED MRI TECHNOLOGY, LLC · PI FEINBERG, DAVID ALAN · 2016 to 2017
$2.7M
NIGMS NIH HHS P20 GM103408NIGMS NIH HHS U54 GM104944NIMH NIH HHS R44 MH112210
6 · The paper itself

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.

Indexed as

Computer SimulationHydrodynamicsAnimalsCerebrospinal FluidMacaca fascicularisMagnetic Resonance ImagingMale

Identifiers

PMID28462417
PMCPMC5467026

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.