Evidence map›Paper›PMID 37556086›Full record

ArticleMagma (New York, N.Y.)2023

Streamlined quantitative BOLD for detecting visual stimulus-induced changes in oxygen extraction fraction in healthy participants: toward clinical application in human glioma.

Fatemeh Arzanforoosh, Avery J L Berman, Marion Smits, Esther A H Warnert

Open access · hybridAbstract read
In one paragraph

Article in Magma (New York, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Fatemeh ArzanforooshDepartment of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.
Avery J L BermanDepartment of Physics, Carleton University, Ottawa, ON, Canada.
Marion SmitsDepartment of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.
Esther A H WarnertDepartment of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands. e.warnert@erasmusmc.nl.ORCID http://orcid.org/0000-0002-3196-1416
Erasmus MC · NLUniversity of Ottawa · CA

Funding

CIHR MFE-164755NSERC RGPIN-2022-04886Veni Vernieuwingsimpuls 91619121
6 · The paper itself

Abstract

objectiveMonitoring brain oxygenation is critical in brain tumors, as low oxygenation influences tumor growth, pathological angiogenesis, and treatment resistance. This study examined the ability of the streamlined quantitative (sq)BOLD MRI technique to detect oxygenation changes in healthy individuals, as well as its potential application in a clinical setting.

methodsWe used the asymmetric spin echo (ASE) technique with FLAIR preparation, along with model-based Bayesian inference to quantify the reversible transverse relaxation rate (R

resultsComparing sqBOLD-derived parameters between baseline and visual stimulation revealed a decrease in OEF from 0.56 ± 0.09 at baseline to 0.54 ± 0.07 at the activated state (p = 0.04, paired t test) within a functional localizer-defined volume of interest, and a decline in R

conclusionThe sqBOLD technique is sensitive enough to detect and quantify changes in oxygenation in the healthy brain and shows potential for integration into clinical settings to provide valuable information on oxygenation in glioma.

Indexed as

GliomaOxygenBayes TheoremBrainHealthy VolunteersHumansMagnetic Resonance ImagingOxygenBrain oxygenationGliomaHealthy volunteersMagnetic resonance imagingVisual stimulation

Identifiers

PMID37556086
PMCPMC10667381
OpenAlexW4385684796

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.