Evidence map›Paper›PMID 26961195›Full record

ArticleNeuroradiology2016

Computed tomography perfusion as a diagnostic tool for seizures after ischemic stroke.

Miriam Koome, Leonid Churilov, Ziyuan Chen, Ziyi Chen, Jillian Naylor, Arthur Thevathasan, Bernard Yan, Patrick Kwan

Abstract read
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In one paragraph

Article in Neuroradiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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  3. Article
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  6. Article
  7. The Progress of Epilepsy after Stroke.Current neuropharmacology · 2018
    Review
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.

Miriam KoomeMelbourne Brain Centre, The Royal Melbourne Hospital, Parkville, VIC, 3050, Australia.
Leonid ChurilovFlorey Neuroscience Institutes, Austin Health, University of Melbourne, Melbourne, Australia.
Ziyuan ChenMelbourne Brain Centre, The Royal Melbourne Hospital, Parkville, VIC, 3050, Australia.
Ziyi ChenMelbourne Brain Centre, The Royal Melbourne Hospital, Parkville, VIC, 3050, Australia.
Jillian NaylorMelbourne Brain Centre, The Royal Melbourne Hospital, Parkville, VIC, 3050, Australia.
Arthur ThevathasanMelbourne Brain Centre, The Royal Melbourne Hospital, Parkville, VIC, 3050, Australia.
Bernard YanMelbourne Brain Centre, The Royal Melbourne Hospital, Parkville, VIC, 3050, Australia. bernard.yan@mh.org.au.
Patrick KwanMelbourne Brain Centre, The Royal Melbourne Hospital, Parkville, VIC, 3050, Australia. patrick.kwan@unimelb.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCerebral cortical ischemia is a risk factor for post-stroke seizures. However, the optimal imaging method is unclear. We investigated CT perfusion (CTP) in detecting cortical ischemia and its correlation with post-stroke seizures compared with non-contrast CT (NCCT).

methodsWe included patients with acute ischemic stroke admitted to the Royal Melbourne Hospital between 2009 and 2014. Post-stroke seizure information was collected. Cortical involvement was determined on acute NCCT and CTP (T max, cerebral blood volume [CBV], and cerebral blood flow [CBF]). The association between cortical involvement detected by different imaging modalities and post-stroke seizures was examined.

resultsThree-hundred fifty-two patients were included for analysis. Fifty-nine percent were male, and median age was 73 years (inter-quartile range 61-82). Follow-up was available for 96 %; median follow-up duration was 377 days (inter-quartile range 91-1018 days). Thirteen patients had post-stroke seizures (3.9 %). Cortical involvement was significantly associated with post-stroke seizures across all modalities. CBV had the highest hazard ratio (11.3, 95 % confidence interval (CI) 1.1-41.2), followed by NCCT (5.3, 95 % CI 1.5-18.0) and CBF (4.2, 95 % CI 1.1-15.2). Sensitivity was highest for T max (100 %), followed by CBV and CBF (both 76.9 %) and NCCT (63.6 %). Specificity was highest for CBV (77.8 %), then NCCT (75.6 %), CBF (54.0 %), and T max (29.1 %). Receiver-operating characteristic area under the curve was significantly different between imaging modalities (p < 0.001), CBV 0.77, NCCT 0.70, CBF 0.65, and T max 0.65.

conclusionCTP may improve sensitivity and specificity of cortical involvement for post-stroke seizures compared to NCCT.

Indexed as

AgedAged, 80 and overCerebral AngiographyComputed Tomography AngiographyDiagnosis, DifferentialFemaleHumansMaleMiddle AgedObserver VariationRadiographic Image EnhancementReproducibility of ResultsSeizuresSensitivity and SpecificityStrokeCT perfusionIschemic strokeNon-contrast CTPost-stroke epilepsySeizures

Identifiers

PMID26961195

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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.