Evidence map›Paper›PMID 33736664›Full record

ArticleFluids and barriers of the CNS2021

In vitro evaluation of cerebrospinal fluid velocity measurement in type I Chiari malformation: repeatability, reproducibility, and agreement using 2D phase contrast and 4D flow MRI.

Gwendolyn Williams, Suraj Thyagaraj, Audrey Fu, John Oshinski, Daniel Giese, Alexander C Bunck, Eleonora Fornari, Francesco Santini, Mark Luciano, Francis Loth and 1 more

Open access · goldAbstract read
In one paragraph

Article in Fluids and barriers of the CNS, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Computational Fluid Dynamics of Cerebrospinal Fluid.Advances in experimental medicine and biology · 2024
    Review
  11. Article
  12. Article
  13. Physics of fluids (Woodbury, N.Y. : 1994) · 2023
    Article
  14. Article
  15. 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
  16. Review
  17. 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

11 authors at 7 institutions in 3 countries.

Gwendolyn WilliamsDepartment of Chemical and Biological Engineering, University of Idaho, 875 Perimeter Dr. MC1122, Moscow, ID, 83844, USA.
Suraj ThyagarajDepartment of Mechanical Engineering, Conquer Chiari Research Center, University of Akron, Akron, OH, 44325, USA.
Audrey FuDepartment of Mathematics and Statistical Science, University of Idaho, Moscow, ID, 83844, USA.
John OshinskiDepartment of Radiology and Imaging Sciences, Emory University, Atlanta, GA, 30322, USA.
Daniel GieseDepartment of Radiology, University Hospital of Cologne, Cologne, Germany.
Alexander C BunckDepartment of Radiology, University Hospital of Cologne, Cologne, Germany.
Eleonora FornariCIBM, Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne, Lausanne, Switzerland.
Francesco SantiniDivision of Radiological Physics, Department of Radiology, University Hospital of Basel, Basel, Switzerland.
Mark LucianoDepartment of Neurosurgery, John Hopkins University, Baltimore, MD, USA.
Francis LothDepartment of Mechanical Engineering, Conquer Chiari Research Center, University of Akron, Akron, OH, 44325, USA.
Bryn A MartinDepartment of Chemical and Biological Engineering, University of Idaho, 875 Perimeter Dr. MC1122, Moscow, ID, 83844, USA. bryn@alcyonels.com.
University Hospital Cologne · DEUniversity of Akron · USUniversity of Idaho · USEmory University · USJohns Hopkins University · USUniversity Hospital of Basel · CHUniversity Hospital of Lausanne · CH

Funding

Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Tracking and EvaluationU54GM104944 · NIGMS · UNIVERSITY OF NEVADA LAS VEGAS · PI NOONAN, CURTIS WILLIAM · 2013 to 2023
$39.6M
Establishing a Novel Neural Tissue Deformation Biomarker for Type 1 Chiari MalformationR01NS111283 · NINDS · UNIVERSITY OF IDAHO · PI LUCIANO, MARK GREGORY · 2019 to 2023
$1.8M
NCATS NIH HHS UL1 TR002378NCATS NIH HHS UL1TR002378NIGMS NIH HHS 4U54GM104944-04TBDNIGMS NIH HHS P20GM1033408NIGMS NIH HHS U54 GM104944NINDS NIH HHS R01 NS111283NINDS NIH HHS R01NS111283
6 · The paper itself

Abstract

backgroundPhase contrast magnetic resonance imaging, PC MRI, is a valuable tool allowing for non-invasive quantification of CSF dynamics, but has lacked adoption in clinical practice for Chiari malformation diagnostics. To improve these diagnostic practices, a better understanding of PC MRI based measurement agreement, repeatability, and reproducibility of CSF dynamics is needed.

methodsAn anatomically realistic in vitro subject specific model of a Chiari malformation patient was scanned three times at five different scanning centers using 2D PC MRI and 4D Flow techniques to quantify intra-scanner repeatability, inter-scanner reproducibility, and agreement between imaging modalities. Peak systolic CSF velocities were measured at nine axial planes using 2D PC MRI, which were then compared to 4D Flow peak systolic velocity measurements extracted at those exact axial positions along the model.

resultsComparison of measurement results showed good overall agreement of CSF velocity detection between 2D PC MRI and 4D Flow (p = 0.86), fair intra-scanner repeatability (confidence intervals ± 1.5 cm/s), and poor inter-scanner reproducibility. On average, 4D Flow measurements had a larger variability than 2D PC MRI measurements (standard deviations 1.83 and 1.04 cm/s, respectively).

conclusionAgreement, repeatability, and reproducibility of 2D PC MRI and 4D Flow detection of peak CSF velocities was quantified using a patient-specific in vitro model of Chiari malformation. In combination, the greatest factor leading to measurement inconsistency was determined to be a lack of reproducibility between different MRI centers. Overall, these findings may help lead to better understanding for application of 2D PC MRI and 4D Flow techniques as diagnostic tools for CSF dynamics quantification in Chiari malformation and related diseases.

Indexed as

Arnold-Chiari MalformationCerebrospinal FluidChild, PreschoolHumansHydrodynamicsMagnetic Resonance ImagingMeta-Analysis as TopicModels, AnatomicReproducibility of ResultsReview Literature as TopicCerebrospinal fluidChiari malformationMagnetic resonance imagingPhase contrastSpinal cord

Identifiers

PMID33736664
PMCPMC7977612
OpenAlexW3136799659

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.