Evidence map›Paper›PMID 39987323›Full record

ArticleJournal of neurology2025

Effectiveness of CT perfusion in posterior circulation stroke: evaluation of perfusion abnormalities and associated clinical signs.

Giovanni Furlanis, Edoardo Ricci, Miloš Ajčević, Filippo Spigariol, Emanuele Vincis, Gabriele Prandin, Laura Mancinelli, Federica Palacino, Magda Quagliotto, Paola Caruso and 3 more

Abstract read
In one paragraph

Article in Journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. CT Perfusion in lacunar stroke: a powerful tool to enhance lacunar stroke detection and prediction of patients' outcome.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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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

13 authors.

Giovanni FurlanisClinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste - ASUGI, University of Trieste, Strada di Fiume, 447, 34149, Trieste, Italy.
Edoardo RicciClinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste - ASUGI, University of Trieste, Strada di Fiume, 447, 34149, Trieste, Italy. edoardo.ricci@asugi.sanita.fvg.it.ORCID http://orcid.org/0009-0004-5159-0183
Miloš AjčevićDepartment of Engineering and Architecture, University of Trieste, Via A. Valerio, 10, 34127, Trieste, Italy.
Filippo SpigariolClinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste - ASUGI, University of Trieste, Strada di Fiume, 447, 34149, Trieste, Italy.
Emanuele VincisClinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste - ASUGI, University of Trieste, Strada di Fiume, 447, 34149, Trieste, Italy.
Gabriele PrandinClinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste - ASUGI, University of Trieste, Strada di Fiume, 447, 34149, Trieste, Italy.
Laura MancinelliClinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste - ASUGI, University of Trieste, Strada di Fiume, 447, 34149, Trieste, Italy.
Federica PalacinoClinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste - ASUGI, University of Trieste, Strada di Fiume, 447, 34149, Trieste, Italy.
Magda QuagliottoClinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste - ASUGI, University of Trieste, Strada di Fiume, 447, 34149, Trieste, Italy.
Paola CarusoClinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste - ASUGI, University of Trieste, Strada di Fiume, 447, 34149, Trieste, Italy.
Maja UkmarRadiology Unit, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste - ASUGI, University of Trieste, Strada di Fiume, 447, 34149, Trieste, Italy.
Marcello NaccaratoClinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste - ASUGI, University of Trieste, Strada di Fiume, 447, 34149, Trieste, Italy.
Paolo ManganottiClinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste - ASUGI, University of Trieste, Strada di Fiume, 447, 34149, Trieste, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAcute posterior circulation stroke (PCS) is characterized by often non-specific clinical signs, with neuroimaging playing a pivotal role in assessment in the emergency setting. The aim of this study was to investigate the effectiveness of CT Perfusion (CTP) maps in detecting acute PCS and to identify clinical factors associated with perfusion abnormalities.

methodsWe retrospectively analyzed clinical and radiological data of consecutive patients with acute PCS admitted to our Stroke Unit that underwent CTP. Follow-up NECT or MRI was performed to confirm the diagnosis of PCS. The effectiveness of CTP to identify PCS was evaluated as the ratio of the CTP in which perfusion abnormalities, compatible with an ischemic event, were present in at least one CTP map among MTT, CBF, TTP, and CBV. Multivariate logistic regression analysis was conducted to identify clinical factors associated with perfusion abnormalities.

resultsCTP showed alterations in 69 of 107 PCS (64.5%) included in final analysis and MTT proved to be the most sensitive. Multivariate analysis showed that atrial fibrillation (OR = 8.571, CI 95% 2.224-33.037, p = 0.002), dyslipidemia (OR = 0.285, CI 95% 0.100-0.814, p = 0.019), visual field deficits (OR = 3.372, CI 95% 1.020-11.150, p = 0.046), and higher neurological deficit (NIHSS > 5) (OR = 4.054, CI 95% 1.147-14.331, p = 0.030) were significantly associated with perfusion abnormalities on CTP.

conclusionCT perfusion can be a valuable resource for detecting acute PCS showing a moderately high positivity rate, higher than that of NECT alone or CTA. These findings contribute to the growing body of evidence supporting the use of perfusion imaging in acute posterior circulation stroke.

Indexed as

Cerebrovascular CirculationPerfusion ImagingStrokeTomography, X-Ray ComputedAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesCT perfusionMultimodal CT imagingNeuroimagingPosterior circulation strokeStroke

Identifiers

PMID39987323
PMCPMC11846719

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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.