Evidence map›Paper›PMID 26824672›Full record

ArticlePloS one2016

Cerebral Blood Volume ASPECTS Is the Best Predictor of Clinical Outcome in Acute Ischemic Stroke: A Retrospective, Combined Semi-Quantitative and Quantitative Assessment.

Marina Padroni, Andrea Bernardoni, Carmine Tamborino, Gloria Roversi, Massimo Borrelli, Andrea Saletti, Alessandro De Vito, Cristiano Azzini, Luca Borgatti, Onofrio Marcello and 5 more

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Value of pre-intervention CT perfusion imaging in acute ischemic stroke prognosis.Diagnostic and interventional radiology (Ankara, Turkey) · 2021
    Article
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

15 authors.

Marina PadroniSection of Neurology, Department of Biological, Psychiatric and Psychological Science, University of Ferrara, Ferrara, Italy.
Andrea BernardoniSection of Diagnostic Imaging, Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy.
Carmine TamborinoSection of Neurology, Department of Biological, Psychiatric and Psychological Science, University of Ferrara, Ferrara, Italy.
Gloria RoversiSection of Neurology, Department of Biological, Psychiatric and Psychological Science, University of Ferrara, Ferrara, Italy.
Massimo BorrelliNeuroradiology Unit, Department of Neuroscience and Rehabilitation, Azienda Ospedaliera Universitaria, Ferrara, Italy.
Andrea SalettiNeuroradiology Unit, Department of Neuroscience and Rehabilitation, Azienda Ospedaliera Universitaria, Ferrara, Italy.
Alessandro De VitoNeurology Unit, Department of Neuroscience and Rehabilitation, Azienda Ospedaliera Universitaria, Ferrara, Italy.
Cristiano AzziniNeurology Unit, Department of Neuroscience and Rehabilitation, Azienda Ospedaliera Universitaria, Ferrara, Italy.
Luca BorgattiNeuroradiology Unit, Department of Neuroscience and Rehabilitation, Azienda Ospedaliera Universitaria, Ferrara, Italy.
Onofrio MarcelloNeuroradiology Unit, Department of Neuroscience and Rehabilitation, Azienda Ospedaliera Universitaria, Ferrara, Italy.
Christopher d'EsterreCalgary Stroke Program, Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada.
Stefano CerutiNeuroradiology Unit, Department of Neuroscience and Rehabilitation, Azienda Ospedaliera Universitaria, Ferrara, Italy.
Ilaria CasettaSection of Neurology, Department of Biological, Psychiatric and Psychological Science, University of Ferrara, Ferrara, Italy.
Ting-Yim LeeImaging Research Lab, Robarts Research Institute, Western Ontario University, London, Ontario, Canada.
Enrico FainardiNeuroradiology Unit, Department of Neuroscience and Rehabilitation, Azienda Ospedaliera Universitaria, Ferrara, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe capability of CT perfusion (CTP) Alberta Stroke Program Early CT Score (ASPECTS) to predict outcome and identify ischemia severity in acute ischemic stroke (AIS) patients is still questioned.

methods62 patients with AIS were imaged within 8 hours of symptom onset by non-contrast CT, CT angiography and CTP scans at admission and 24 hours. CTP ASPECTS was calculated on the affected hemisphere using cerebral blood flow (CBF), cerebral blood volume (CBV) and mean transit time (MTT) maps by subtracting 1 point for any abnormalities visually detected or measured within multiple cortical circular regions of interest according to previously established thresholds. MTT-CBV ASPECTS was considered as CTP ASPECTS mismatch. Hemorrhagic transformation (HT), recanalization status and reperfusion grade at 24 hours, final infarct volume at 7 days and modified Rankin scale (mRS) at 3 months after onset were recorded.

resultsSemi-quantitative and quantitative CTP ASPECTS were highly correlated (p<0.00001). CBF, CBV and MTT ASPECTS were higher in patients with no HT and mRS ≤ 2 and inversely associated with final infarct volume and mRS (p values: from p<0.05 to p<0.00001). CTP ASPECTS mismatch was slightly associated with radiological and clinical outcomes (p values: from p<0.05 to p<0.02) only if evaluated quantitatively. A CBV ASPECTS of 9 was the optimal semi-quantitative value for predicting outcome.

conclusionsOur findings suggest that visual inspection of CTP ASPECTS recognizes infarct and ischemic absolute values. Semi-quantitative CBV ASPECTS, but not CTP ASPECTS mismatch, represents a strong prognostic indicator, implying that core extent is the main determinant of outcome, irrespective of penumbra size.

Indexed as

Magnetic Resonance AngiographyAgedAged, 80 and overBlood Flow VelocityBlood VolumeBrain IschemiaCerebral AngiographyCerebrovascular CirculationCerebrumFemaleFibrinolytic AgentsHumansImage Processing, Computer-AssistedMaleMiddle AgedRetrospective StudiesFibrinolytic Agents

Identifiers

PMID26824672
PMCPMC4732987

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.