Evidence map›Paper›PMID 38758245›Full record

ArticleNeurosurgical review2024

Early localization of tissue at risk for delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage: blood distribution on initial imaging vs early CT perfusion.

Vesna Malinova, Beate Kranawetter, Sheri Tuzi, Veit Rohde, Dorothee Mielke

Abstract read
In one paragraph

Article in Neurosurgical review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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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

5 authors.

Vesna MalinovaDepartment of Neurosurgery, University Medical Center Göttingen, Göttingen, Germany. vesna.malinova@gmail.com.
Beate KranawetterDepartment of Neurosurgery, University Medical Center Göttingen, Göttingen, Germany.
Sheri TuziDepartment of Neurosurgery, University Medical Center Göttingen, Göttingen, Germany.
Veit RohdeDepartment of Neurosurgery, University Medical Center Göttingen, Göttingen, Germany.
Dorothee MielkeDepartment of Neurosurgery, University Medical Center Göttingen, Göttingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDelayed cerebral ischemia (DCI) is a potentially reversible adverse event after aneurysmal subarachnoid hemorrhage (aSAH), when early detected and treated. Computer tomography perfusion (CTP) is used to identify the tissue at risk for DCI. In this study, the predictive power of early CTP was compared with that of blood distribution on initial CT for localization of tissue at risk for DCI.

methodsA consecutive patient cohort with aSAH treated between 2012 and 2020 was retrospectively analyzed. Blood distribution on CT was semi-quantitatively assessed with the Hijdra-score. The vessel territory with the most surrounding blood and the one with perfusion deficits on CTP performed on day 3 after ictus were considered to be at risk for DCI, respectively.

resultsA total of 324 patients were included. Delayed infarction occurred in 17% (56/324) of patients. Early perfusion deficits were detected in 82% (46/56) of patients, 85% (39/46) of them developed infarction within the predicted vessel territory at risk. In 46% (25/56) a vessel territory at risk was reliably determined by the blood distribution. For the prediction of DCI, blood amount/distribution was inferior to CTP. Concerning the identification of "tissue at risk" for DCI, a combination of both methods resulted in an increase of sensitivity to 64%, positive predictive value to 58%, and negative predictive value to 92%.

conclusionsRegarding the DCI-prediction, early CTP was superior to blood amount/distribution, while a consideration of subarachnoid blood distribution may help identify the vessel territories at risk for DCI in patients without early perfusion deficits.

Indexed as

Brain IschemiaSubarachnoid HemorrhageTomography, X-Ray ComputedAdultAgedCerebrovascular CirculationFemaleHumansMaleMiddle AgedPerfusion ImagingRetrospective StudiesCT perfusionSubarachnoid hemorrhageTissue at risk

Identifiers

PMID38758245
PMCPMC11101576

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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.