Evidence map›Paper›PMID 40023408›Full record

ArticleMagnetic resonance imaging2025

Blood-oxygenation-level-dependent (BOLD) MRI responses to CO

Oluwateniola Akinwale, Yang Li, Peiying Liu, Zhiyi Hu, Xirui Hou, Shanshan Jiang, Doris D Lin, Jay J Pillai, Hanzhang Lu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Cerebrovascular reactivity delay measured by blood oxygen level dependent magnetic resonance imaging and gas challenges: A systematic review.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
  2. Review
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.

Oluwateniola AkinwaleDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Yang LiDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Peiying LiuDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Zhiyi HuDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Xirui HouDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Shanshan JiangDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Doris D LinDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Jay J PillaiDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Division of Neuroradiology, Mayo Clinic College of Medicine and Science, Rochester, MN, USA; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Hanzhang LuDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: hanzhang.lu@jhu.edu.

Funding

TRD 4: Platforms for multi-modal and multi-scale imaging dataP41EB031771 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Hanzhang Lu, Peter CM Van Zijl · 2021 to 2026
$9.9M
An integrated vascular MR imaging suite in brain diseasesR01NS106702 · NINDS · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2018 to 2022
$2.7M
MR fingerprinting (MRF) perfusion imaging in cerebral vascular diseaseR01NS106711 · NINDS · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2018 to 2022
$2.2M
NIBIB NIH HHS P41 EB031771NINDS NIH HHS R01 NS106702NINDS NIH HHS R01 NS106711
6 · The paper itself

Abstract

purposeCerebrovascular abnormalities are intricately involved in gliomas. While static cerebrovascular properties such as cerebral blood flow, volume, and permeability have been extensively studied, dynamic vascular parameters have not been fully understood. This study aimed to characterize the vascular responses to CO

methodsIn 15 glioma patients, concomitant CO

resultsVisual inspection suggested that reliable O

conclusionsGliomas are associated with abnormal CO

Indexed as

Brain NeoplasmsCarbon DioxideGliomaMagnetic Resonance ImagingOxygenAdministration, InhalationAdultAgedBrainCerebrovascular CirculationFemaleHumansMaleMiddle AgedCarbon DioxideOxygenCerebrovascular reactivityCO(2) inhalationGliomaHypoxiaO(2) inhalationPathophysiologyVasodilation

Identifiers

PMID40023408
PMCPMC11994284

What OpenQuestion holds

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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.