Evidence map›Paper›PMID 28424015›Full record

ReviewThe neuroradiology journal2017

Susceptibility weighted imaging in acute cerebral ischemia: review of emerging technical concepts and clinical applications.

Charlie Chia-Tsong Hsu, Gigi Nga Chi Kwan, Sachintha Hapugoda, Michelle Craigie, Trevor William Watkins, E Mark Haacke

Open access · greenAbstract readReview
In one paragraph

Review in The neuroradiology journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 39 citations in OpenAlex.

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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

6 authors at 3 institutions in 3 countries.

Charlie Chia-Tsong Hsu1 Department of Medical Imaging, Princess Alexandra Hospital, Australia.
Gigi Nga Chi Kwan1 Department of Medical Imaging, Princess Alexandra Hospital, Australia.
Sachintha Hapugoda1 Department of Medical Imaging, Princess Alexandra Hospital, Australia.
Michelle Craigie1 Department of Medical Imaging, Princess Alexandra Hospital, Australia.
Trevor William Watkins1 Department of Medical Imaging, Princess Alexandra Hospital, Australia.
E Mark Haacke3 Departments of Radiology and Biomedical Engineering, Wayne State University, USA.
Princess Alexandra Hospital · AUUniversity of Toronto · CAWayne State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Susceptibility weighted imaging (SWI) is an essential magnetic resonance imaging sequence in the assessment of acute ischemic stroke. In this article, we discuss the physics principals and clinical application of conventional SWI and multi-echo SWI sequences. We review the research evidence and practical approach of SWI in acute ischemic stroke by focusing on the detection and characterization of thromboembolism in the cerebral circulation. In addition, we discuss the role of SWI in the assessment of neuroparenchyma by depiction of asymmetric hypointense cortical veins in the ischemic territory (surrogate tissue perfusion), detection of existing microbleeds before stroke treatment and monitoring for hemorrhagic transformation post-treatment. In conclusion, the SWI sequence complements other parameters in the stroke magnetic resonance imaging protocol and understanding of the research evidence is vital for practising stroke neurologists and neuroradiologists.

Indexed as

Magnetic Resonance ImagingBrain IschemiaCerebral InfarctionCerebrovascular CirculationHumansImage Processing, Computer-Assistedacute strokeMagnetic resonance imagingsusceptibility weighted imaging

Identifiers

PMID28424015
PMCPMC5433592
OpenAlexW2589460953

What OpenQuestion holds

Textmetadata
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.