Evidence map›Paper›PMID 26670321›Full record

ArticleEuropean radiology2016

Early quantitative CT perfusion parameters variation for prediction of delayed cerebral ischemia following aneurysmal subarachnoid hemorrhage.

Christine Rodriguez-Régent, Monia Hafsa, Guillaume Turc, Wagih Ben Hassen, Myriam Edjlali, Alain Sermet, Nathalie Laquay, Denis Trystram, Fawaz Al-Shareef, Jean-Francois Meder and 3 more

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In one paragraph

Article in European radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 5 pooled it
1.1field-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

19 citing papers in PubMed, 5 syntheses or guidelines pooled it, 37 citations in OpenAlex.

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  7. The impact of perfusion computed tomography on the diagnosis and outcome of delayed cerebral ischemia after subarachnoid hemorrhage.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
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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 at 5 institutions in 1 country.

Christine Rodriguez-RégentDepartments of Neuroradiology, Centre Hospitalier Sainte-Anne, Université Paris Descartes, Sorbonne Paris Cité, INSERM UMR894, 1 rue Cabanis, 75014, Paris, France.
Monia HafsaDepartments of Neuroradiology, Centre Hospitalier Sainte-Anne, Université Paris Descartes, Sorbonne Paris Cité, INSERM UMR894, 1 rue Cabanis, 75014, Paris, France.
Guillaume TurcDepartment of Neurology, Centre Hospitalier Sainte-Anne, Université Paris-Descartes, INSERM U894, Paris, France.
Wagih Ben HassenDepartments of Neuroradiology, Centre Hospitalier Sainte-Anne, Université Paris Descartes, Sorbonne Paris Cité, INSERM UMR894, 1 rue Cabanis, 75014, Paris, France.
Myriam EdjlaliDepartments of Neuroradiology, Centre Hospitalier Sainte-Anne, Université Paris Descartes, Sorbonne Paris Cité, INSERM UMR894, 1 rue Cabanis, 75014, Paris, France.
Alain SermetDepartment of Reanimation, Centre Hospitalier Sainte-Anne, Paris, France.
Nathalie LaquayDepartment of Reanimation, Centre Hospitalier Sainte-Anne, Paris, France.
Denis TrystramDepartments of Neuroradiology, Centre Hospitalier Sainte-Anne, Université Paris Descartes, Sorbonne Paris Cité, INSERM UMR894, 1 rue Cabanis, 75014, Paris, France.
Fawaz Al-ShareefDepartments of Neuroradiology, Centre Hospitalier Sainte-Anne, Université Paris Descartes, Sorbonne Paris Cité, INSERM UMR894, 1 rue Cabanis, 75014, Paris, France.
Jean-Francois MederDepartments of Neuroradiology, Centre Hospitalier Sainte-Anne, Université Paris Descartes, Sorbonne Paris Cité, INSERM UMR894, 1 rue Cabanis, 75014, Paris, France.
Bertrand DevauxDepartment of Neurosurgery, Centre Hospitalier Sainte-Anne, Université Paris-Descartes, Paris, France.
Catherine OppenheimDepartments of Neuroradiology, Centre Hospitalier Sainte-Anne, Université Paris Descartes, Sorbonne Paris Cité, INSERM UMR894, 1 rue Cabanis, 75014, Paris, France.
Olivier NaggaraDepartments of Neuroradiology, Centre Hospitalier Sainte-Anne, Université Paris Descartes, Sorbonne Paris Cité, INSERM UMR894, 1 rue Cabanis, 75014, Paris, France. o.naggara@ch-sainte-anne.fr.
Centre Hospitalier Sainte-Anne · FRDélégation Paris 5 · FRInserm · FRUniversité Paris Cité · FRSorbonne Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo prospectively evaluate the predictive value of cerebral perfusion-computerized tomography (CTP) parameters variation between day0 and day4 after aneurysmal subarachnoid haemorrhage (aSAH).

methodsMean transit time (MTT) and cerebral blood flow (CBF) values were compared between patients with delayed cerebral ischemia (DCI+ group) and patients without DCI (DCI- group) for previously published optimal cutoff values and for variations of MTT (ΔMTT) and of CBF (ΔCBF) values between day0 and day4. DCI+ was defined as a cerebral infarction on 3-months follow-up MRI.

resultsAmong 47 included patients, 10 suffered DCI+. Published optimal cutoff values did not predict DCI, either at day0 or at day4. Conversely, ΔMTT and ΔCBF significantly differed between the DCI+ and DCI- groups, with optimal ΔMTT and ΔCBF values of 0.91 seconds (83.9 % sensitivity, 79.5 % specificity, AUC 0.84) and -7.6 mL/100 g/min (100 % sensitivity, 71.4 % specificity, AUC 0.86), respectively. In multivariate analysis, ΔCBF (OR = 1.91, IC95% 1.13-3.23 per each 20 % decrease of ΔCBF) and ΔMTT values (OR = 14.70, IC95% 4.85-44.52 per each 20 % increase of ΔMTT) were independent predictors of DCI.

conclusionsAssessment of MTT and CBF value variations between day0 and day4 may serve as an early imaging surrogate for prediction of DCI in aSAH. KEY POINTS: • CT perfusion values are an imaging surrogate for prediction of DCI. • Early variations (day0-day4) after aneurysmal subarachnoid haemorrhage predicted DCI. • A CBF decrease of 7.6 mL/min/100 g predicted DCI with 100 % sensitivity. • An MTT increase of 0.91 seconds predicted DCI with 83.9 % sensitivity. • DCI risk multiplied by 2 per 20 % ΔCBF decrease and by 15 per 20 % ΔMTT increase.

Indexed as

Cerebrovascular CirculationAdultAgedBrain IschemiaFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesSensitivity and SpecificitySubarachnoid HemorrhageTomography, X-Ray ComputedYoung AdultCerebral vasospasmCT perfusionDelayed cerebral ischemiaPredictionSubarachnoid haemorrhage

Identifiers

PMID26670321
OpenAlexW2292674842

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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.