Evidence map›Paper›PMID 35183659›Full record

ArticleMagnetic resonance imaging2022

Non-contrast hemodynamic imaging of Moyamoya disease with MR fingerprinting ASL: A feasibility study.

Pan Su, Peiying Liu, Marco C Pinho, Binu P Thomas, Ye Qiao, Judy Huang, Babu G Welch, Hanzhang Lu

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance imaging, 2022. 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
1.7field-weighted citation impact, top 16% 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, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. "MR Fingerprinting for Imaging Brain Hemodynamics and Oxygenation".Journal of magnetic resonance imaging : JMRI · 2025
    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

8 authors at 5 institutions in 1 country.

Pan SuThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Graduate School of Biomedical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Peiying LiuThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Marco C PinhoDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Binu P ThomasAdvanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Ye QiaoThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Judy HuangDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Babu G WelchDepartment of Neurosurgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Hanzhang LuThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: hanzhang.lu@jhu.edu.
Johns Hopkins University · USThe University of Texas Southwestern Medical Center · USAdvanced Imaging Research (United States) · USJohns Hopkins Medicine · USSouthwestern Medical Center · US

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
Non-contrast MR imaging of blood-brain-barrier permeability in Alzheimer's diseaseR01AG064792 · NIA · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2020 to 2023
$2.6M
Blood-brain barrier dysfunction in Alzheimer's disease: from humans to animal modelsRF1AG071515 · NIA · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2021 to 2021
$2.4M
MR fingerprinting (MRF) perfusion imaging in cerebral vascular diseaseR01NS106711 · NINDS · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2018 to 2022
$2.2M
State of the Art 3T Research ScannerS10OD021648 · OD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2016 to 2016
$2.0M
American Heart Association-American Stroke Association 16PRE30930003NIA NIH HHS R01 AG064792NIA NIH HHS RF1 AG071515NIBIB NIH HHS P41 EB031771NIH HHS S10 OD021648NINDS NIH HHS R01 NS106702NINDS NIH HHS R01 NS106711
6 · The paper itself

Abstract

purposeMR Fingerprinting (MRF) Arterial Spin Labeling (ASL) is a non-contrast technique to estimate multiple brain hemodynamic and structural parameters in a single scan. The purpose of this study is to examine the feasibility and initial utility of MRF-ASL in Moyamoya disease.

methodsMRF-ASL, conventional single-delay ASL, Time-of-flight (TOF) MR angiography, and contrast-based dynamic-susceptibility-contrast (DSC) MRI were prospectively collected from a group of Moyamoya patients in North America (N = 21, 4 men and 17 women). Sixteen healthy subjects (7 men and 9 women) also underwent an MRF-ASL scan. Cerebral blood flow (CBF), bolus arrival time (BAT), and tissue T1 were compared between Moyamoya patients and healthy controls. Perfusion parameters from MRF-ASL were compared to those from other MRI sequences. Multi-linear regression was used for comparisons of parameter values between Moyamoya and control groups. Linear mixed-effects models was used when comparing MRF-ASL to PCASL and DSC parameters. Spearman's Rank Correlation Coefficient was calculated when comparing MRF-ASL to and MRA grades. A P value of 0.05 or less was considered significant.

resultsBAT in stenotic internal carotid artery (ICA) territories was prolonged (P < 0.001) in Moyamoya patients, when compared with healthy controls. CBF in stenotic ICA territories of Moyamoya patients was not different from CBF in healthy controls; but in the PCA territories, CBF in Moyamoya patients was higher (P < 0.01) than controls. Quantitative T1 values in the stenotic ICA territories was longer (P < 0.05) than that in controls. Hemodynamic parameters estimated from MRF-ASL were significantly correlated with single-delay ASL and DSC. Longer BAT was associated with more severe intracranial artery stenosis in ICA.

conclusionsMRF-ASL is a promising technique to assess perfusion and structural abnormalities in Moyamoya patients.

Indexed as

Moyamoya DiseaseArteriesCerebrovascular CirculationFeasibility StudiesFemaleHemodynamicsHumansMagnetic Resonance AngiographyMagnetic Resonance ImagingMaleSpin LabelsSpin LabelsArterial spin labelingCerebrovascular diseaseInternal carotid artery stenosisMagnetic resonance fingerprintingMoyamoya disease

Identifiers

PMID35183659
PMCPMC8934382
OpenAlexW4213068358

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.