Evidence map›Paper›PMID 40506229›Full record

ArticleAJNR. American journal of neuroradiology2025

Arterial Spin-Labeling MRI Identifies Abnormal Perfusion Metric at the Gray Matter/CSF Interface in Cerebral Small Vessel Disease.

Abdelkader Mahammedi, Ates Fettahoglu, Jeremy J Heit, Joanna M Wardlaw, Greg Zaharchuk

Abstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 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. Article
  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

5 authors.

Abdelkader MahammediFrom the Department of Radiology (A.M., A.F., J.J.H., G.Z.), Stanford University, Stanford, California abdelkader.mahammedi@stanford.edu.ORCID https://orcid.org/0000-0002-8726-9269
Ates FettahogluFrom the Department of Radiology (A.M., A.F., J.J.H., G.Z.), Stanford University, Stanford, California.
Jeremy J HeitFrom the Department of Radiology (A.M., A.F., J.J.H., G.Z.), Stanford University, Stanford, California.ORCID https://orcid.org/0000-0003-1055-8000
Joanna M WardlawCentre for Clinical Brain and Neuroimaging Sciences (J.M.W.), University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Greg ZaharchukFrom the Department of Radiology (A.M., A.F., J.J.H., G.Z.), Stanford University, Stanford, California.ORCID https://orcid.org/0000-0001-5781-8848

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeCerebral small vessel disease (SVD) is a common cause of stroke and cognitive decline. SVD is characterized by white matter hyperintensities (WMH) and dilated perivascular spaces (PVS). While WMH can be associated with reduced CBF and glymphatic clearance, current clinical and radiologic assessments of these associations remain controversial and mostly qualitative. We aim to identify if arterial spin-labeling (ASL)-based CBF differences, particularly in the cortical surface at the GM/CSF interface, correlate with SVD severity. MATERIALS AND

methodsWe performed a retrospective cohort study of healthy controls with normal cognition who underwent a brain MRI as part of our university's Alzheimer Disease Research Center (ADRC) and an

resultsThirty-two patients met the inclusion criteria (

conclusionsnGCI, a novel perfusion metric that may capture features of perfusion at the GM-CSF boundary, was strongly correlated with WMH and PVS severity. Further, longitudinal studies are required to determine the potential role of nGCI as a predictive marker of SVD progression.

Indexed as

Cerebral Small Vessel DiseasesCerebrospinal FluidGray MatterMagnetic Resonance ImagingAgedCerebrovascular CirculationFemaleHumansMaleMiddle AgedRetrospective StudiesSpin LabelsSpin Labels

Identifiers

PMID40506229
PMCPMC12453444

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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.