Evidence map›Paper›PMID 24116061›Full record

ArticlePloS one2013

Reliability of visual assessment of non-contrast CT, CT angiography source images and CT perfusion in patients with suspected ischemic stroke.

Tom van Seeters, Geert Jan Biessels, Joris M Niesten, Irene C van der Schaaf, Jan Willem Dankbaar, Alexander D Horsch, Willem P T M Mali, L Jaap Kappelle, Yolanda van der Graaf, Birgitta K Velthuis and 1 more

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In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

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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

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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

25 citing papers in PubMed, 42 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

11 authors at 2 institutions in 1 country.

Tom van SeetersDepartment of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Geert Jan Biessels
Joris M Niesten
Irene C van der Schaaf
Jan Willem Dankbaar
Alexander D Horsch
Willem P T M Mali
L Jaap Kappelle
Yolanda van der Graaf
Birgitta K Velthuis
Dust Investigators
University Medical Center Utrecht · NLRijnstate Hospital · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeGood reliability of methods to assess the extent of ischemia in acute stroke is important for implementation in clinical practice, especially between observers with varying experience. Our aim was to determine inter- and intra-observer reliability of the 1/3 middle cerebral artery (MCA) rule and the Alberta Stroke Program Early CT Score (ASPECTS) for different CT modalities in patients suspected of acute ischemic stroke.

methodsWe prospectively included 105 patients with acute neurological deficit due to suspected acute ischemic stroke within 9 hours after symptom onset. All patients underwent non-contrast CT, CT perfusion and CT angiography on admission. All images were evaluated twice for presence of ischemia, ischemia with >1/3 MCA involvement, and ASPECTS. Four observers evaluated twenty scans twice for intra-observer agreement. We used kappa statistics and intraclass correlation coefficient to calculate agreement.

resultsInter-observer agreement for the 1/3 MCA rule and ASPECTS was fair to good for non-contrast CT, poor to good for CT angiography source images, but excellent for all CT perfusion maps (cerebral blood volume, mean transit time, and predicted penumbra and infarct maps). Intra-observer agreement for the 1/3 MCA rule and ASPECTS was poor to good for non-contrast CT, fair to moderate for CT angiography source images, and good to excellent for all CT perfusion maps.

conclusionBetween observers with a different level of experience, agreement on the radiological diagnosis of cerebral ischemia is much better for CT perfusion than for non-contrast CT and CT angiography source images, and therefore CT perfusion is a very reliable addition to standard stroke imaging.

Indexed as

Cerebral AngiographyAgedAged, 80 and overBrainBrain IschemiaFemaleHumansMaleMiddle AgedObserver VariationProspective StudiesReproducibility of ResultsStroke

Identifiers

PMID24116061
PMCPMC3792960
OpenAlexW2006928245

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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.