Evidence map›Paper›PMID 26446009›Full record

ArticleAnnals of biomedical engineering2016

Inter-operator Reliability of Magnetic Resonance Image-Based Computational Fluid Dynamics Prediction of Cerebrospinal Fluid Motion in the Cervical Spine.

Bryn A Martin, Theresia I Yiallourou, Soroush Heidari Pahlavian, Suraj Thyagaraj, Alexander C Bunck, Francis Loth, Daniel B Sheffer, Jan Robert Kröger, Nikolaos Stergiopulos

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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Computational Fluid Dynamics of Cerebrospinal Fluid.Advances in experimental medicine and biology · 2024
    Review
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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

9 authors at 4 institutions in 3 countries.

Bryn A MartinNeurophysiological Imaging and Modeling Laboratory, Department of Biological Engineering, The University of Idaho, 875 Perimeter Drive MS 0904, Moscow, ID, 83844-0904, USA. brynm@uidaho.edu.
Theresia I YiallourouLaboratory of Hemodynamics and Cardiovascular Technology, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Soroush Heidari PahlavianDepartment of Mechanical Engineering, Conquer Chiari Research Center, The University of Akron, Akron, OH, USA.
Suraj ThyagarajDepartment of Mechanical Engineering, Conquer Chiari Research Center, The University of Akron, Akron, OH, USA.
Alexander C BunckDepartment of Radiology, University Hospital of Cologne, Cologne, Germany.
Francis LothDepartment of Mechanical Engineering, Conquer Chiari Research Center, The University of Akron, Akron, OH, USA.
Daniel B ShefferDepartment of Biomedical Engineering, The University of Akron, Akron, OH, USA.
Jan Robert KrögerDepartment of Radiology, University Hospital of Cologne, Cologne, Germany.
Nikolaos StergiopulosLaboratory of Hemodynamics and Cardiovascular Technology, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
University of Akron · USÉcole Polytechnique Fédérale de Lausanne · CHUniversity Hospital Cologne · DEUniversity of Münster · DE

Funding

Clinical Utility of MR based Hydrodynamic Parameters in Chiari MalformationR15NS071455 · NINDS · UNIVERSITY OF AKRON · PI LOTH, FRANCIS · 2010 to 2010
$485k
Chiari Malformation: State of the Research & New DirectionsR13NS063446 · NINDS · CHIARI AND SYRINGOMYELIA FOUNDATION · PI LABUDA, RICHARD CARL, LOTH, FRANCIS · 2008 to 2008
$18k
NINDS NIH HHS 492 1R15NS071455-01NINDS NIH HHS R13 NS063446NINDS NIH HHS R15 NS071455
6 · The paper itself

Abstract

For the first time, inter-operator dependence of MRI based computational fluid dynamics (CFD) modeling of cerebrospinal fluid (CSF) in the cervical spinal subarachnoid space (SSS) is evaluated. In vivo MRI flow measurements and anatomy MRI images were obtained at the cervico-medullary junction of a healthy subject and a Chiari I malformation patient. 3D anatomies of the SSS were reconstructed by manual segmentation by four independent operators for both cases. CFD results were compared at nine axial locations along the SSS in terms of hydrodynamic and geometric parameters. Intraclass correlation (ICC) assessed the inter-operator agreement for each parameter over the axial locations and coefficient of variance (CV) compared the percentage of variance for each parameter between the operators. Greater operator dependence was found for the patient (0.19 < ICC < 0.99) near the craniovertebral junction compared to the healthy subject (ICC > 0.78). For the healthy subject, hydraulic diameter and Womersley number had the least variance (CV = ~2%). For the patient, peak diastolic velocity and Reynolds number had the smallest variance (CV = ~3%). These results show a high degree of inter-operator reliability for MRI-based CFD simulations of CSF flow in the cervical spine for healthy subjects and a lower degree of reliability for patients with Type I Chiari malformation.

Indexed as

Arnold-Chiari MalformationCerebrospinal FluidCervical CordMagnetic Resonance ImagingFemaleHumansMaleMotionObserver VariationCerebrospinal fluid (CSF)Chiari malformationComputational fluid dynamics (CFD)Magnetic resonance imaging (MRI)NeurohydrodynamicsSubarachnoid space

Identifiers

PMID26446009
PMCPMC4824672
OpenAlexW1864139176

What OpenQuestion holds

Textmetadata
LicenceTDM
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.