Evidence map›Paper›PMID 29567653›Full record

ArticleAJNR. American journal of neuroradiology2018

Diagnosing Early Ischemic Changes with the Latest-Generation Flat Detector CT: A Comparative Study with Multidetector CT.

I L Maier, J R Leyhe, I Tsogkas, D Behme, K Schregel, M Knauth, M Schnieder, J Liman, M-N Psychogios

Abstract readComparative Study
In one paragraph

Article in AJNR. American journal of neuroradiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Trial
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  7. Direct to hybrid CT-angiosuite (Nexaris) reduces treatment time for stroke thrombectomy (Direct-ST): A prospective simulation study.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025
    Article
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  11. Can flat-detector CT after successful endovascular treatment predict long-term outcome in patients with large vessel occlusion? An Alberta Stroke Programme Early CT Score-based study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
    Review
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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

9 authors.

I L MaierFrom the Departments of Neurology (I.L.M., M.S., J.L.).ORCID 0000-0001-6988-8878
J R LeyheNeuroradiology (J.R.L., I.T., D.B., K.S., M.K., M.-N.P.), University Medical Center Goettingen, Goettingen, Germany.ORCID 0000-0001-9790-9525
I TsogkasNeuroradiology (J.R.L., I.T., D.B., K.S., M.K., M.-N.P.), University Medical Center Goettingen, Goettingen, Germany.ORCID 0000-0003-2561-9603
D BehmeNeuroradiology (J.R.L., I.T., D.B., K.S., M.K., M.-N.P.), University Medical Center Goettingen, Goettingen, Germany.ORCID 0000-0002-5353-9515
K SchregelNeuroradiology (J.R.L., I.T., D.B., K.S., M.K., M.-N.P.), University Medical Center Goettingen, Goettingen, Germany.ORCID 0000-0003-4367-1667
M KnauthNeuroradiology (J.R.L., I.T., D.B., K.S., M.K., M.-N.P.), University Medical Center Goettingen, Goettingen, Germany.ORCID 0000-0002-8913-5168
M SchniederFrom the Departments of Neurology (I.L.M., M.S., J.L.).ORCID 0000-0001-6966-8613
J LimanFrom the Departments of Neurology (I.L.M., M.S., J.L.).ORCID 0000-0002-7465-9655
M-N PsychogiosNeuroradiology (J.R.L., I.T., D.B., K.S., M.K., M.-N.P.), University Medical Center Goettingen, Goettingen, Germany. m.psychogios@med.uni-goettingen.de.ORCID 0000-0002-0016-414X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeOne-stop management of mechanical thrombectomy-eligible patients with large-vessel occlusion represents an innovative approach in acute stroke treatment. This approach reduces door-to-reperfusion times by omitting multidetector CT, using flat detector CT as pre-mechanical thrombectomy imaging. The purpose of this study was to compare the diagnostic performance of the latest-generation flat detector CT with multidetector CT. MATERIALS AND

methodsProspectively derived data from patients with ischemic stroke with large-vessel occlusion and mechanical thrombectomy were analyzed in this monocentric study. All included patients underwent multidetector CT before referral to our comprehensive stroke center and flat detector CT in the angiography suite before mechanical thrombectomy. Diagnosis of early ischemic signs, quantified by the ASPECTS, was compared between modalities using cross tables, the Pearson correlation, and Bland-Altman plots. The predictive value of multidetector CT- and flat detector CT-derived ASPECTS for functional outcome was investigated using area under the receiver operating characteristic curve analysis.

resultsOf 25 patients, 24 (96%) had flat detector CT with sufficient diagnostic quality. Median multidetector CT and flat detector CT ASPECTSs were 7 (interquartile range, 5.5-9 and 4.25-8, respectively) with a mean period of 143.6 ± 49.5 minutes between both modalities. The overall sensitivity was 85.1% and specificity was 83.1% for flat detector CT ASPECTS compared with multidetector CT ASPECTS as the reference technique. Multidetector CT and flat detector CT ASPECTS were strongly correlated (

conclusionsDetermination of ASPECTS on flat detector CT is feasible, showing no significant difference compared with multidetector CT ASPECTS and a similar predictive value for functional outcome. Our findings support the use of flat detector CT for emergency stroke imaging before mechanical thrombectomy to reduce door-to-groin time.

Indexed as

AgedAged, 80 and overFemaleHumansMaleMiddle AgedNeuroimagingROC CurveSensitivity and SpecificityStrokeThrombectomyTomography, X-Ray Computed

Identifiers

PMID29567653
PMCPMC7410649

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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.