Evidence map›Paper›PMID 25355812›Full record

ReviewAJNR. American journal of neuroradiology2015

4D-CTA in neurovascular disease: a review.

H G J Kortman, E J Smit, M T H Oei, R Manniesing, M Prokop, F J A Meijer

Abstract readReview
In one paragraph

Review in AJNR. American journal of neuroradiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–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

43 citing papers in PubMed.

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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.

H G J KortmanFrom the Department of Radiology and Nuclear Medicine, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands.
E J SmitFrom the Department of Radiology and Nuclear Medicine, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands.
M T H OeiFrom the Department of Radiology and Nuclear Medicine, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands.
R ManniesingFrom the Department of Radiology and Nuclear Medicine, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands.
M ProkopFrom the Department of Radiology and Nuclear Medicine, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands.
F J A MeijerFrom the Department of Radiology and Nuclear Medicine, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands. Anton.Meijer@radboudumc.nl.ORCID http://orcid.org/0000-0001-5921-639X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CT angiography is a widely used technique for the noninvasive evaluation of neurovascular pathology. Because CTA is a snapshot of arterial contrast enhancement, information on flow dynamics is limited. Dynamic CTA techniques, also referred to as 4D-CTA, have become available for clinical practice in recent years. This article provides a description of 4D-CTA techniques and a review of the available literature on the application of 4D-CTA for the evaluation of intracranial vascular malformations and hemorrhagic and ischemic stroke. Most of the research performed to date consists of observational cohort studies or descriptive case series. These studies show that intracranial vascular malformations can be adequately depicted and classified by 4D-CTA, with DSA as the reference standard. In ischemic stroke, 4D-CTA better estimates thrombus burden and the presence of collateral vessels than conventional CTA. In intracranial hemorrhage, 4D-CTA improves the detection of the "spot" sign, which represents active ongoing bleeding.

Indexed as

Cerebral AngiographyCerebrovascular DisordersFour-Dimensional Computed TomographyHumansStroke

Identifiers

PMID25355812
PMCPMC8013013

What OpenQuestion holds

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Read underepoch 390

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.