Evidence map›Paper›PMID 24167116›Full record

ArticleMagnetic resonance in medicine2014

Numerical modeling of susceptibility-related MR signal dephasing with vessel size measurement: phantom validation at 3T.

Nicolas A Pannetier, Maja Sohlin, Thomas Christen, Lothar Schad, Norbert Schuff

Abstract readValidation Study
In one paragraph

Article in Magnetic resonance in medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  6. Magnetic Resonance Fingerprinting-An Overview.Current opinion in biomedical engineering · 2017
    Article
  7. 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

5 authors at 5 institutions in 3 countries.

Nicolas A PannetierDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA; Center for Imaging of Neurodegenerative Diseases, Department of Veterans Affairs Medical Center, San Francisco, California, USA.
Maja Sohlin
Thomas Christen
Lothar Schad
Norbert Schuff
Heidelberg University · DEStanford University · USUnited States Department of Veterans Affairs · USUniversity of California, San Francisco · USUniversity of Gothenburg · SE

Funding

TRAINING AND DISSEMINATIONP41RR023953 · NCRR · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI WEINER, MICHAEL W · 2008 to 2011
$6.0M
NCRR NIH HHS P41 RR 023953NCRR NIH HHS P41 RR023953
6 · The paper itself

Abstract

purposeMRI is used to obtain quantitative oxygenation and blood volume information from the susceptibility-related MR signal dephasing induced by blood vessels. However, analytical models that fit the MR signal are usually not accurate over the range of small blood vessels. Moreover, recent studies have demonstrated limitations in the simultaneous assessment of oxygenation and blood volume. In this study, a multiparametric MRI framework that aims to measure vessel radii in addition to magnetic susceptibility and volume fraction was introduced.

methodsThe protocol consisted of gradient-echo sampling of the spin-echo, diffusion, T2, and B0 acquisitions. After correction steps, the data were postprocessed with a versatile numerical model of the MR signal. An important analytical model was implemented for comparison. The approach was validated in phantoms with coiling strings as proxy for blood vessels.

resultsThe feasibility of the vessel radius measurement is demonstrated. The numerical model shows an improved accuracy compared with the analytical approach. However, both methods overestimate the radius. The simultaneous measurement of the magnetic susceptibility and the volume fraction remains challenging.

conclusionThe results suggest that this approach could be interesting in vivo to better characterize the microvasculature without contrast agent.

Indexed as

MicrocirculationDiffusion Magnetic Resonance ImagingHumansImage Processing, Computer-AssistedMagnetic Resonance AngiographyPhantoms, Imagingdiffusionmagnetic susceptibilityMR numerical modelquantitative BOLDvessel size measurement

Identifiers

PMID24167116
PMCPMC3999331
OpenAlexW2100878617

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.