Evidence map›Paper›PMID 40323889›Full record

ArticleBrain : a journal of neurology2025

Oxygen extraction fraction in small vessel disease: relationship to disease burden and progression.

Ruiting Zhang, Miao Lin, Junghun Cho, Xinfeng Yu, Yeerfan Jiaerken, Shuyue Wang, Hui Hong, Xiaojun Guan, Yao Zhang, Linyun Xie and 6 more

Abstract read
In one paragraph

Article in Brain : a journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

16 authors.

Ruiting ZhangDepartment of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
Miao LinDepartment of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
Junghun ChoDepartment of Biomedical Engineering, The State University of New York at Buffalo, Buffalo, NY 14260, USA.
Xinfeng YuDepartment of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
Yeerfan JiaerkenDepartment of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
Shuyue WangDepartment of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
Hui HongDepartment of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
Xiaojun GuanDepartment of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
Yao ZhangDepartment of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
Linyun XieDepartment of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
Lingyun LiuDepartment of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
Lei CuiDepartment of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
Minming ZhangDepartment of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.ORCID 0000-0003-0145-7558
Geert Jan BiesselsDepartment of Neurology, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht 3584 CX, The Netherlands.
Jeroen C W SieroDepartment of Radiology, Center for Image Sciences, University Medical Centre Utrecht, Utrecht 3584 CX, The Netherlands.ORCID 0000-0001-5079-2868
Peiyu HuangDepartment of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.

Funding

Development and Validation of MRI Mapping of Brain Oxygen Metabolism for Clinical UseR00NS123229 · NINDS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI CHO, JUNGHUN · 2023 to 2025
$633k
Brain Center Young Talent Fellowship 2019National Natural Science Foundation of China 82101987, 82371907, 81901706, 81971577, 82101984 and 82302138NIH HHS R00NS123229NINDS NIH HHS R00 NS123229University Medical Center Utrecht
6 · The paper itself

Abstract

Chronic hypoperfusion has been considered a major mechanism of cerebral small vessel disease. Nonetheless, brain tissue may increase oxygen extraction fraction to mitigate hypoxia and delay parenchymal damage. This study aims to investigate oxygen extraction fraction in cerebral small vessel disease and understand its relationship to disease burden and progression. We retrospectively included 195 patients with cerebral small vessel disease and 178 normal controls. Cerebral blood flow was measured by arterial spin labelling. Oxygen extraction fraction was estimated by quantitative susceptibility mapping plus quantitative blood oxygen-level dependence imaging. We compared baseline cerebral blood flow and oxygen extraction fraction in the whole white matter, normal-appearing white matter and white matter hyperintensities between the patient and control groups. Then, we studied whether cerebral blood flow and oxygen extraction fraction differed among patients with varying disease burdens. Longitudinally, we used linear mixed models to evaluate whether cerebral blood flow and oxygen extraction fraction could together predict the progression of white matter hyperintensities or free water (mean follow-up time = 2.6 years) in a subset of 47 patients. Compared to the control group, the patient group exhibited reduced cerebral blood flow in the whole white matter, normal-appearing white matter and white matter hyperintensities. Additionally, the oxygen extraction fraction increased in normal-appearing white matter but decreased in white matter hyperintensities. Notably, the white matter oxygen extraction fraction was elevated in patients with mild-to-moderate disease burden but decreased in those with the most severe disease burden. Longitudinal analyses revealed that adding oxygen extraction fraction measurements to cerebral blood flow measurements can improve the prediction of disease progression. Higher baseline values of cerebral blood flow and oxygen extraction fraction in the white matter were both linked to a slower increase in free water. In summary, oxygen extraction fraction exhibited an 'increase-then-decrease' pattern in patients with cerebral small vessel disease. Together, oxygen extraction fraction and cerebral blood flow can predict disease progression. Non-invasive MRI assessment of oxygen extraction fraction may provide valuable tools for future research on cerebral small vessel disease.

Indexed as

Cerebral Small Vessel DiseasesCerebrovascular CirculationOxygenAgedBrainDisease ProgressionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesWhite MatterOxygencerebral blood flowcerebral small vessel diseasefree watermagnetic resonance imagingoxygen extraction fractionwhite matter hyperintensities

Identifiers

PMID40323889
PMCPMC12129728

What Socratic holds

Textmetadata
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 Socratic graph.