Evidence map›Paper›PMID 27043214›Full record

ArticleAnnals of biomedical engineering2016

Accuracy of 4D Flow Measurement of Cerebrospinal Fluid Dynamics in the Cervical Spine: An In Vitro Verification Against Numerical Simulation.

Soroush Heidari Pahlavian, Alexander C Bunck, Suraj Thyagaraj, Daniel Giese, Francis Loth, Dennis M Hedderich, Jan Robert Kröger, Bryn A Martin

Open access · greenAbstract read
In one paragraph

Article in Annals of biomedical engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.0field-weighted citation impact, top 15% of its field
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

22 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Computational Fluid Dynamics of Cerebrospinal Fluid.Advances in experimental medicine and biology · 2024
    Review
  10. Review
  11. Review
  12. Quality Control for 4D Flow MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Hydraulic resistance of periarterial spaces in the brain.Fluids and barriers of the CNS · 2019
    Article
  19. Article
  20. 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

8 authors at 4 institutions in 2 countries.

Soroush Heidari PahlavianConquer Chiari Research Center, The University of Akron, Akron, OH, USA.
Alexander C BunckDepartment of Radiology, University Hospital of Cologne, Cologne, Germany.
Suraj ThyagarajConquer Chiari Research Center, The University of Akron, Akron, OH, USA.
Daniel GieseDepartment of Radiology, University Hospital of Cologne, Cologne, Germany.
Francis LothConquer Chiari Research Center, The University of Akron, Akron, OH, USA.
Dennis M HedderichDepartment of Radiology, University Hospital of Cologne, Cologne, Germany.
Jan Robert KrögerDepartment of Radiology, University Hospital of Muenster, Muenster, Germany.
Bryn A MartinDepartment of Biological Engineering, The University of Idaho, 875 Perimeter Drive MS 0904, Moscow, ID, 83844-0904, USA. brynm@uidaho.edu.
University Hospital Cologne · DEUniversity of Akron · USUniversity Hospital Münster · DEUniversity of Idaho · US

Funding

Clinical Utility of MR based Hydrodynamic Parameters in Chiari MalformationR15NS071455 · NINDS · UNIVERSITY OF AKRON · PI LOTH, FRANCIS · 2010 to 2010
$485k
NINDS NIH HHS R15 NS071455
6 · The paper itself

Abstract

Abnormal alterations in cerebrospinal fluid (CSF) flow are thought to play an important role in pathophysiology of various craniospinal disorders such as hydrocephalus and Chiari malformation. Three directional phase contrast MRI (4D Flow) has been proposed as one method for quantification of the CSF dynamics in healthy and disease states, but prior to further implementation of this technique, its accuracy in measuring CSF velocity magnitude and distribution must be evaluated. In this study, an MR-compatible experimental platform was developed based on an anatomically detailed 3D printed model of the cervical subarachnoid space and subject specific flow boundary conditions. Accuracy of 4D Flow measurements was assessed by comparison of CSF velocities obtained within the in vitro model with the numerically predicted velocities calculated from a spatially averaged computational fluid dynamics (CFD) model based on the same geometry and flow boundary conditions. Good agreement was observed between CFD and 4D Flow in terms of spatial distribution and peak magnitude of through-plane velocities with an average difference of 7.5 and 10.6% for peak systolic and diastolic velocities, respectively. Regression analysis showed lower accuracy of 4D Flow measurement at the timeframes corresponding to low CSF flow rate and poor correlation between CFD and 4D Flow in-plane velocities.

Indexed as

Computer SimulationModels, NeurologicalCerebrospinal FluidCervical CordCervical VertebraeHumansMagnetic Resonance Imaging4D Flow measurementCerebrospinal fluidComputational fluid dynamicsMagnetic resonance imagingPhantom experiment

Identifiers

PMID27043214
PMCPMC5050060
OpenAlexW2467036931

What OpenQuestion holds

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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.