Evidence map›Paper›PMID 35850570›Full record

ArticleThe neuroradiology journal2023

The role of automated computed topography perfusion in prediction of hemorrhagic transformation after acute ischemic stroke.

Nada Elsaid, Guido Bigliardi, Maria Luisa Dell'Acqua, Laura Vandelli, Ludovico Ciolli, Livio Picchetto, Giuseppe Borzì, Riccardo Ricceri, Roberta Pentore, Stefano Vallone and 2 more

Open access · greenAbstract read
In one paragraph

Article in The neuroradiology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. 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

12 authors at 2 institutions in 2 countries.

Nada ElsaidStroke Unit - Neurology Clinic, Department of Neuroscience, 220340Ospedale Civile di Baggiovara, AOU di Modena, Modena, Italy.ORCID 0000-0002-2476-5652
Guido BigliardiStroke Unit - Neurology Clinic, Department of Neuroscience, 220340Ospedale Civile di Baggiovara, AOU di Modena, Modena, Italy.
Maria Luisa Dell'AcquaStroke Unit - Neurology Clinic, Department of Neuroscience, 220340Ospedale Civile di Baggiovara, AOU di Modena, Modena, Italy.
Laura VandelliStroke Unit - Neurology Clinic, Department of Neuroscience, 220340Ospedale Civile di Baggiovara, AOU di Modena, Modena, Italy.
Ludovico CiolliStroke Unit - Neurology Clinic, Department of Neuroscience, 220340Ospedale Civile di Baggiovara, AOU di Modena, Modena, Italy.
Livio PicchettoStroke Unit - Neurology Clinic, Department of Neuroscience, 220340Ospedale Civile di Baggiovara, AOU di Modena, Modena, Italy.
Giuseppe BorzìStroke Unit - Neurology Clinic, Department of Neuroscience, 220340Ospedale Civile di Baggiovara, AOU di Modena, Modena, Italy.
Riccardo RicceriStroke Unit - Neurology Clinic, Department of Neuroscience, 220340Ospedale Civile di Baggiovara, AOU di Modena, Modena, Italy.
Roberta PentoreStroke Unit - Neurology Clinic, Department of Neuroscience, 220340Ospedale Civile di Baggiovara, AOU di Modena, Modena, Italy.
Stefano ValloneNeuroradiology, Department of Neuroscience, 220340Ospedale Civile di Baggiovara, AOU di Modena, Modena, Italy.
Stefano MelettiStroke Unit - Neurology Clinic, Department of Neuroscience, 220340Ospedale Civile di Baggiovara, AOU di Modena, Modena, Italy.
Ahmed SaiedStroke Unit - Neurology Clinic, Department of Neuroscience, 220340Ospedale Civile di Baggiovara, AOU di Modena, Modena, Italy.
Azienda Unita' Sanitaria Locale Di Modena · ITMansoura University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe role of computed tomography perfusion (CTP) in prediction of hemorrhagic transformation (HT) has been evolving. We aimed to study the role of automated perfusion post-processing software in prediction of HT using the commercially available RAPID software.

methodsTwo hundred eighty-two patients with anterior circulation ischemic stroke, who underwent CTP with RAPID automated post-processing, were retrospectively enrolled and divided into HT (

resultsThe volumes of brain tissues suffering from reduction of cerebral blood flow (CBF < 20%-38%), reduction in cerebral blood volumes (CBV < 34-42%), and delayed contrast arrival times (Tmax > 4-10s) were significantly higher in the HT group. The mismatch volumes were also higher in the HT group (

conclusionThe RAPID automated CTP parameters can provide a reliable predictor of HT overall but not the parenchymal or the symptomatic subtypes. The infarct area involving the penumbra and core represented by the Tmax > 6s threshold is the most sensitive predictor; however, the combination of the perfusion parameters can slightly improve the diagnostic efficiency.

Indexed as

Brain IschemiaIschemic StrokeStrokeCerebrovascular CirculationHumansPerfusionPerfusion ImagingRetrospective StudiesTomography, X-Ray ComputedCT perfusionhemorrhagic transformationischemic strokeRAPID

Identifiers

PMID35850570
PMCPMC10034700
OpenAlexW4286229962

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.