Evidence map›Paper›PMID 29458187›Full record

ReviewNeuroImage2019

MRI techniques to measure arterial and venous cerebral blood volume.

Jun Hua, Peiying Liu, Tae Kim, Manus Donahue, Swati Rane, J Jean Chen, Qin Qin, Seong-Gi Kim

Abstract readReview
In one paragraph

Review in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
9.9field-weighted citation impact, top 1% 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

58 citing papers in PubMed, 115 citations in OpenAlex.

  1. Article
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  5. TMagnetic resonance in medicine · 2026
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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

8 authors at 7 institutions in 3 countries.

Jun HuaNeurosection, Div. of MRI Research, Dept. of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA. Electronic address: jhua@mri.jhu.edu.
Peiying LiuNeurosection, Div. of MRI Research, Dept. of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.
Tae KimDepartment of Radiology, University of Pittsburgh, Pittsburgh, PA, USA; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Manus DonahueDepartment of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA.
Swati RaneRadiology, University of Washington Medical Center, Seattle, WA, USA.
J Jean ChenRotman Research Institute, Baycrest Centre, Canada; Department of Medical Biophysics, University of Toronto, Canada.
Qin QinNeurosection, Div. of MRI Research, Dept. of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.
Seong-Gi KimCenter for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, South Korea; Department of Biomedical Engineering, Sungkyunkwan University, Suwon, South Korea.
Johns Hopkins Medicine · USInstitute for Basic Science · KRKennedy Krieger Institute · USUniversity of Pittsburgh · USUniversity of Toronto · CAUniversity of Washington Medical Center · USVanderbilt University Medical Center · 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
MRI-based Quantitative Brain Perfusion Mapping for Sickle Cell DiseaseK25HL121192 · NHLBI · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI QIN, QIN · 2014 to 2018
$822k
Cerebrovascular imaging of mild cognitive impairment with suspected non-amyloid pathologyK01AG055669 · NIA · UNIVERSITY OF WASHINGTON · PI RANE LEVENDOVSZKY, SWATI · 2017 to 2021
$616k
Thalamic connectivity in recent onset schizophrenia measured by 7T fMRIR21MH107016 · NIMH · JOHNS HOPKINS UNIVERSITY · PI HUA, JUN, MARGOLIS, RUSSELL L · 2016 to 2017
$460k
Presurgical functional MRI in patients with large susceptibility artifactsR21EB023538 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI HUA, JUN · 2016 to 2017
$444k
NHLBI NIH HHS K25 HL121192NIA NIH HHS K01 AG055669NIBIB NIH HHS P41 EB015909NIBIB NIH HHS R21 EB023538NIMH NIH HHS R21 MH107016
6 · The paper itself

Abstract

The measurement of cerebral blood volume (CBV) has been the topic of numerous neuroimaging studies. To date, however, most in vivo imaging approaches can only measure CBV summed over all types of blood vessels, including arterial, capillary and venous vessels in the microvasculature (i.e. total CBV or CBVtot). As different types of blood vessels have intrinsically different anatomy, function and physiology, the ability to quantify CBV in different segments of the microvascular tree may furnish information that is not obtainable from CBVtot, and may provide a more sensitive and specific measure for the underlying physiology. This review attempts to summarize major efforts in the development of MRI techniques to measure arterial (CBVa) and venous CBV (CBVv) separately. Advantages and disadvantages of each type of method are discussed. Applications of some of the methods in the investigation of flow-volume coupling in healthy brains, and in the detection of pathophysiological abnormalities in brain diseases such as arterial steno-occlusive disease, brain tumors, schizophrenia, Huntington's disease, Alzheimer's disease, and hypertension are demonstrated. We believe that the continual development of MRI approaches for the measurement of compartment-specific CBV will likely provide essential imaging tools for the advancement and refinement of our knowledge on the exquisite details of the microvasculature in healthy and diseased brains.

Indexed as

AnimalsBrain DiseasesCerebral ArteriesCerebral Blood VolumeCerebral CortexCerebral VeinsHumansMagnetic Resonance ImagingArterioleCapillaryCBVMRIPial arteryVeinVenule

Identifiers

PMID29458187
PMCPMC6095829
OpenAlexW2789540583

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.