Evidence map›Paper›PMID 36939794›Full record

ReviewPhenomics (Cham, Switzerland)2023

Measurement of Cerebral Oxygen Extraction Fraction Using Quantitative BOLD Approach: A Review.

Hongwei Li, Chengyan Wang, Xuchen Yu, Yu Luo, He Wang

Abstract readReview
In one paragraph

Review in Phenomics (Cham, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Observational
  2. Review
  3. Article
  4. Review
  5. Frugal and Translatable [Diagnostics (Basel, Switzerland) · 2024
    Article
  6. Brain-Derived Exosomal CircRNAs in Plasma Serve as Diagnostic Biomarkers for Acute Ischemic Stroke.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2024
    Article
  7. 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

5 authors.

Hongwei LiInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, 220 Handan Road, Yangpu District, Shanghai, 200433 China.ORCID 0000-0003-1591-7674
Chengyan WangHuman Phenome Institute, Fudan University, Shanghai, 201203 China.ORCID 0000-0002-8890-4973
Xuchen YuInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, 220 Handan Road, Yangpu District, Shanghai, 200433 China.ORCID 0000-0002-0858-6582
Yu LuoDepartment of Radiology, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai, 200434 China.ORCID 0000-0003-4620-3869
He WangInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, 220 Handan Road, Yangpu District, Shanghai, 200433 China.ORCID 0000-0002-2053-9439

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantification of brain oxygenation and metabolism, both of which are indicators of the level of brain activity, plays a vital role in understanding the cerebral perfusion and the pathophysiology of brain disorders. Magnetic resonance imaging (MRI), a widely used clinical imaging technique, which is very sensitive to magnetic susceptibility, has the possibility of substituting positron emission tomography (PET) in measuring oxygen metabolism. This review mainly focuses on the quantitative blood oxygenation level-dependent (qBOLD) method for the evaluation of oxygen extraction fraction (OEF) in the brain. Here, we review the theoretic basis of qBOLD, as well as existing acquisition and quantification methods. Some published clinical studies are also presented, and the pros and cons of qBOLD method are discussed as well.

Indexed as

Brain diseasesOxygen extraction fractionQuantitative BOLDStatic dephasing regime

Identifiers

PMID36939794
PMCPMC9883382

What OpenQuestion holds

Textmetadata
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Registered trials

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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.