Evidence map›Paper›PMID 25270052›Full record

ReviewJournal of magnetic resonance imaging : JMRI2015

Susceptibility-weighted imaging and quantitative susceptibility mapping in the brain.

Chunlei Liu, Wei Li, Karen A Tong, Kristen W Yeom, Samuel Kuzminski

Abstract readReview
In one paragraph

Review in Journal of magnetic resonance imaging : JMRI, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 268 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
268citing papers in PubMed, 3 pooled it
–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

268 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Assessing cortical cerebral microinfarcts on iron-sensitive MRI in cerebral small vessel disease.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
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  17. [A vessel-enhanced consistency-preserving diffusion model for 3T-to-7T susceptibility weighted image generation].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026
    Article
  18. Article
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208 more citing papers are in PubMed but not listed here.

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.

Chunlei LiuBrain Imaging and Analysis Center, School of Medicine, Duke University, Durham, North Carolina, USA.
Wei LiResearch Imaging Institute, University of Texas Health Science Center at San Antonio, Texas, USA.
Karen A TongDepartment of Radiology, School of Medicine, Loma Linda University, Loma Linda, California, USA.
Kristen W YeomDepartment of Radiology, Lucile Packard Children's Hospital, Stanford University, Palo Alto, California, USA.
Samuel KuzminskiDepartment of Radiology, School of Medicine, Duke University, Durham, North Carolina, USA.

Funding

INTEGRATED CENTER FOR IN VIVO MICROSCOPYP41EB015897 · NIBIB · DUKE UNIVERSITY · PI JOHNSON, GEORGE ALLAN · 2012 to 2017
$7.4M
Ultra-Resolution Imaging of Brain Circuitry and its Development in Mental HealthR01MH096979 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI LIU, CHUNLEI · 2013 to 2017
$1.8M
Workshop on MRI Phase Contrast and Quantitative Susceptibility Mapping (QSM)R13EB018725 · NIBIB · DUKE UNIVERSITY · PI LIU, CHUNLEI · 2014 to 2014
$13k
NIBIB NIH HHS P41 EB015897NIBIB NIH HHS R13 EB018725NIMH NIH HHS R01 MH096979
6 · The paper itself

Abstract

Susceptibility-weighted imaging (SWI) is a magnetic resonance imaging (MRI) technique that enhances image contrast by using the susceptibility differences between tissues. It is created by combining both magnitude and phase in the gradient echo data. SWI is sensitive to both paramagnetic and diamagnetic substances which generate different phase shift in MRI data. SWI images can be displayed as a minimum intensity projection that provides high resolution delineation of the cerebral venous architecture, a feature that is not available in other MRI techniques. As such, SWI has been widely applied to diagnose various venous abnormalities. SWI is especially sensitive to deoxygenated blood and intracranial mineral deposition and, for that reason, has been applied to image various pathologies including intracranial hemorrhage, traumatic brain injury, stroke, neoplasm, and multiple sclerosis. SWI, however, does not provide quantitative measures of magnetic susceptibility. This limitation is currently being addressed with the development of quantitative susceptibility mapping (QSM) and susceptibility tensor imaging (STI). While QSM treats susceptibility as isotropic, STI treats susceptibility as generally anisotropic characterized by a tensor quantity. This article reviews the basic principles of SWI, its clinical and research applications, the mechanisms governing brain susceptibility properties, and its practical implementation, with a focus on brain imaging.

Indexed as

AnimalsBrainBrain DiseasesDiffusion Magnetic Resonance ImagingGray MatterHumansImage EnhancementImage Interpretation, Computer-AssistedReproducibility of ResultsSensitivity and SpecificityWhite MatterhemorrhageironMRI, magnetic resonance imagingMSA, magnetic susceptibility anisotropymultiple sclerosismyelinQSM, quantitative susceptibility mappingSTI, susceptibility tensor imagingstrokeSWI, susceptibility weighted imagingTBI, traumatic brain injury

Identifiers

PMID25270052
PMCPMC4406874

What OpenQuestion holds

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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.