Evidence map›Paper›PMID 37884790›Full record

ArticleClinical neuroradiology2024

Diagnostic Value of Perfusion Parameters for Differentiation of Underlying Etiology in Internal Carotid Artery Occlusions.

Daniel Weiss, Henrik Lang, Christian Rubbert, Kai Jannusch, Marius Kaschner, Vivien Lorena Ivan, Julian Caspers, Bernd Turowski, Robin Jansen, John-Ih Lee and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical neuroradiology, 2024. 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, top 73% of its field
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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Article
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

13 authors at 1 institution in 1 country.

Daniel WeissDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany. danielarvid.weiss@med.uni-duesseldorf.de.ORCID http://orcid.org/0000-0002-3118-7627
Henrik LangDepartment of Neurology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Christian RubbertDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Kai JannuschDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Marius KaschnerDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Vivien Lorena IvanDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Julian CaspersDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Bernd TurowskiDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Robin JansenDepartment of Neurology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
John-Ih LeeDepartment of Neurology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Tobias RuckDepartment of Neurology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Sven Günther MeuthDepartment of Neurology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Michael GliemDepartment of Neurology, Medical Faculty, University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Heinrich Heine University Düsseldorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOcclusions of the internal carotid artery (ICA) may be caused by dissection, embolic or macroangiopathic pathogenesis, which partially influences the treatment; however, inferring the underlying etiology in computed tomography angiography can be challenging. In this study, we investigated whether computed tomography perfusion (CT-P) parameters could be used to distinguish between etiologies.

methodsPatients who received CT‑P in acute ischemic stroke due to ICA occlusion between 2012 and 2019 were retrospectively analyzed. Group comparisons between etiologies regarding the ratios of CT‑P parameters between both hemispheres for relative cerebral blood volume (rCBV), relative cerebral blood flow (rCBF), time to maximum (Tmax), and mean transit time (MTT) were calculated by one-factorial analysis of variance (ANOVA) and compared by pairwise Bonferroni post hoc tests. An receiver operating characteristics (ROC) analysis was performed if differences in group comparisons were found. Multinomial logistic regression (MLR) including pretherapeutic parameters was calculated for etiologies.

resultsIn this study 69 patients (age = 70 ± 14 years, dissection = 10, 14.5%, embolic = 19, 27.5% and macroangiopathic = 40, 58.0%) were included. Group differences in ANOVA were only found for MTT ratio (p = 0.003, η

conclusionIt was possible to differentiate between patients with embolic and macroangiopathic ICA occlusions based on MTT ratios and to define a corresponding cut-off. Differentiation from patients with dissection versus the other etiologies was not possible by CT‑P parameters in our sample.

Indexed as

Arterial Occlusive DiseasesCarotid Artery DiseasesIschemic StrokeStrokeThrombosisAgedAged, 80 and overCarotid Artery, InternalHumansMiddle AgedPerfusionRetrospective StudiesDissectionEmbolicEndovascular treatmentMacroangiopathyStroke

Identifiers

PMID37884790
PMCPMC10881783
OpenAlexW4387955816

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.