Evidence map›Paper›PMID 38115573›Full record

ArticleMagnetic resonance in medicine2024

On the optimization of 3D inflow-based vascular-space-occupancy (iVASO) MRI for the quantification of arterial cerebral blood volume (CBVa).

Chunming Gu, Yinghao Li, Di Cao, Xinyuan Miao, Adrian G Paez, Yuanqi Sun, Jitong Cai, Wenbo Li, Xu Li, Jay J Pillai and 3 more

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

Article in Magnetic resonance in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

13 authors at 3 institutions in 1 country.

Chunming GuDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0003-3568-2032
Yinghao LiDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Di CaoDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Xinyuan MiaoNeurosection, Division of MRI Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Adrian G PaezNeurosection, Division of MRI Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Yuanqi SunDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Jitong CaiDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Wenbo LiNeurosection, Division of MRI Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Xu LiNeurosection, Division of MRI Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Jay J PillaiDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Christopher J EarleyDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Peter C M van ZijlNeurosection, Division of MRI Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Jun HuaNeurosection, Division of MRI Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Kennedy Krieger Institute · USJohns Hopkins University · USMayo Clinic · US

Funding

TR&D 4: Algorithms for functional and anatomical brain analysisP41EB015909 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2012 to 2020
$13.1M
Sleep and Circadian Dysfunction, Brain and Neurobehavioral Development in AutismP50HD103538 · NICHD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Stewart H Mostofsky · 2020 to 2026
$9.9M
Translational Neuroscience CoreU54HD079123 · NICHD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI FATEMI, S. ALI, SCHLAGGAR, BRADLEY L · 2014 to 2019
$7.9M
Advanced MR Imaging of Olfactory Impairment in Prodromal Alzheimer's DiseaseR01AG064093 · NIA · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI BAKKER, ARNOLD, HUA, JUN · 2020 to 2024
$3.9M
Advanced MRI Studies of Cerebrovascular and Lymphatic Abnormalities in LRRK2 mouse models of Parkinson's diseaseR01NS120879 · NINDS · JOHNS HOPKINS UNIVERSITY · PI HUA, JUN, SMITH, WANLI W · 2021 to 2025
$3.5M
Imaging small blood and lymphatic vessel abnormalities of the olfactory system in schizophreniaR01NS108452 · NINDS · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI HUA, JUN, KAMATH, VIDYULATA · 2018 to 2022
$3.2M
Interaction between microvascular function and CSF clearance in Lewy body dementiaRF1AG082257 · NIA · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI HUA, JUN · 2023 to 2023
$2.4M
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
NIA NIH HHS 5R01AG064093NIA NIH HHS R01 AG064093NIA NIH HHS RF1 AG082257NIBIB NIH HHS P41 EB015909NICHD NIH HHS P50 HD103538NICHD NIH HHS U54 HD079123NIH HHS S10 OD021648NIH HHS S10OD021648NINDS NIH HHS 1R01NS108452NINDS NIH HHS 1R01NS120879NINDS NIH HHS R01 NS108452NINDS NIH HHS R01 NS120879
6 · The paper itself

Abstract

purposeThe inflow-based vascular-space-occupancy (iVASO) MRI was originally developed in a single-slice mode to measure arterial cerebral blood volume (CBVa). When vascular crushers are applied in iVASO, the signals can be sensitized predominantly to small pial arteries and arterioles. The purpose of this study is to perform a systematic optimization and evaluation of a 3D iVASO sequence on both 3 T and 7 T for the quantification of CBVa values in the human brain.

methodsThree sets of experiments were performed in three separate cohorts. (1) 3D iVASO MRI protocols were compared to single-slice iVASO, and the reproducibility of whole-brain 3D iVASO MRI was evaluated. (2) The effects from different vascular crushers in iVASO were assessed. (3) 3D iVASO MRI results were evaluated in arterial and venous blood vessels identified using ultrasmall-superparamagnetic-iron-oxides-enhanced MRI to validate its arterial origin.

results3D iVASO scans showed signal-to-noise ratio (SNR) and CBVa measures consistent with single-slice iVASO with reasonable intrasubject reproducibility. Among the iVASO scans performed with different vascular crushers, the whole-brain 3D iVASO scan with a motion-sensitized-driven-equilibrium preparation with two binomial refocusing pulses and an effective TE of 50 ms showed the best suppression of macrovascular signals, with a relatively low specific absorption rate. When no vascular crusher was applied, the CBVa maps from 3D iVASO scans showed large CBVa values in arterial vessels but well-suppressed signals in venous vessels.

conclusionA whole-brain 3D iVASO MRI scan was optimized for CBVa measurement in the human brain. When only microvascular signals are desired, a motion-sensitized-driven-equilibrium-based vascular crusher with binomial refocusing pulses can be applied in 3D iVASO.

Indexed as

Cerebral Blood VolumeMagnetic Resonance ImagingArteriesBrainCerebrovascular CirculationHumansReproducibility of Results7 TCBVMRIMSDEUSPIOVASO

Identifiers

PMID38115573
PMCPMC10950541
OpenAlexW4390011647

What OpenQuestion holds

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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.