Evidence map›Paper›PMID 42295473›Full record

ArticleJournal of neurology2026

CT perfusion abnormalities in status epilepticus: associations with clinical characteristics, EEG, and outcome measures.

Leyla Baysal, Jonas Böhm, Monika Huhndorf, Ulf Jensen-Kondering, Naomi Larsen, Nils G Margraf

Abstract read
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Article in Journal of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Leyla BaysalEpilepsy Center, Department of Neurology, University Hospital Schleswig-Holstein, Campus Kiel, Christian-Albrechts-University, Arnold-Heller-Str. 3, 24105, Kiel, Germany. leyla.baysal@uksh.de.ORCID http://orcid.org/0000-0001-6647-4485
Jonas BöhmEpilepsy Center, Department of Neurology, University Hospital Schleswig-Holstein, Campus Kiel, Christian-Albrechts-University, Arnold-Heller-Str. 3, 24105, Kiel, Germany.
Monika HuhndorfDepartment of Neuroradiology, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller-Str. 3, 24105, Kiel, Germany.
Ulf Jensen-KonderingDepartment of Neuroradiology, University Hospital Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany.
Naomi LarsenDepartment of Neuroradiology, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller-Str. 3, 24105, Kiel, Germany.
Nils G MargrafEpilepsy Center, Department of Neurology, University Hospital Schleswig-Holstein, Campus Kiel, Christian-Albrechts-University, Arnold-Heller-Str. 3, 24105, Kiel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate cerebral perfusion patterns on computed tomography perfusion (CTP) imaging in patients with status epilepticus (SE) and to evaluate their association with clinical, electrophysiological, and outcome parameters.

methodsWe conducted a retrospective study of 117 patients (mean age 74.5 ± 12.1 years, 63 females) who underwent emergency CTP due to focal neurological deficits and suspected acute stroke; all patients were ultimately diagnosed with SE. Periictal CTP findings were analyzed and correlated with clinical characteristics, laboratory results, electroencephalographic (EEG) patterns, and patient outcomes.

resultsNormoperfusion was the most common CTP finding (n = 54, 46.2%), followed by hypoperfusion (n = 36, 30.8%) and hyperperfusion (n = 27, 23.1%). Patients with CTP hyperperfusion had significantly longer hospital stays and longer SE duration (p < 0.05). Hyperperfusion was also more frequently associated with ictal EEG activity or lateralized periodic discharges (LPDs). Perfusion abnormalities outlining the boundaries of vascular territories were striking findings, observed in 80.9% of our patients with SE. At discharge, 70 patients (59.8%) had an unfavorable outcome, including 26 deaths (22.2%). Longer SE duration and poor treatment response were independent predictors of mortality. CTP abnormalities were not associated with SE etiology, seizure semiology, or overall functional outcome.

conclusionCTP may serve as a useful tool for early triage in centers with limited neurophysiological resources and may help suggest nonconvulsive SE in diagnostically unclear cases. Hyperperfusion on CTP appears to reflect disease severity and prolonged seizure activity rather than brain injury. Ictal EEG patterns can be associated with both hyperperfusion and hypoperfusion. CTP abnormalities are often associated with boundaries that are not confined to vascular territories. These findings underscore the importance of integrating imaging and electrophysiological data to improve the early diagnosis and management of SE.

Indexed as

Perfusion ImagingStatus EpilepticusAgedAged, 80 and overElectroencephalographyFemaleHospital MortalityHumansLength of StayMaleMiddle AgedNeuroimagingRetrospective StudiesTomography, X-Ray ComputedEmergency neuroimagingLateralized periodic dischargesPerfusion imagingSeizure-related perfusion changesStroke mimics

Identifiers

PMID42295473
PMCPMC13269492

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