Evidence map›Paper›PMID 25914673›Full record

ArticleFrontiers in neurology2015

Is CT-Based Perfusion and Collateral Imaging Sensitive to Time Since Stroke Onset?

Smriti Agarwal, Tomasz Matys, S Tulasi Marrapu, Daniel J Scoffings, Jennifer Mitchell, P Simon Jones, Jean-Claude Baron, Elizabeth A Warburton

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Article in Frontiers in neurology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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3 · Its place in the literature

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5 citing papers in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Smriti AgarwalClinical Neurosciences, University of Cambridge , Cambridge , UK.
Tomasz MatysDepartment of Radiology, Addenbrooke's Hospital , Cambridge , UK.
S Tulasi MarrapuClinical Neurosciences, University of Cambridge , Cambridge , UK.
Daniel J ScoffingsDepartment of Radiology, Addenbrooke's Hospital , Cambridge , UK.
Jennifer MitchellStroke Unit, Addenbrooke's Hospital , Cambridge , UK.
P Simon JonesClinical Neurosciences, University of Cambridge , Cambridge , UK.
Jean-Claude BaronUniversity of Cambridge , Cambridge , UK ; Centre de Psychiatrie et Neurosciences, INSERM U894, Hôpital Sainte-Anne, Université Paris 5 , Paris , France.
Elizabeth A WarburtonClinical Neurosciences, University of Cambridge , Cambridge , UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCT-based perfusion and collateral imaging is increasingly used in the assessment of patients with acute stroke. Time of stroke onset is a critical factor in determining eligibility for and benefit from thrombolysis. Animal studies predict that the volume of ischemic penumbra decreases with time. Here, we evaluate if CT is able to detect a relationship between perfusion or collateral status, as assessed by CT, and time since stroke onset. MATERIALS AND

methodsWe studied 53 consecutive patients with proximal vessel occlusions, mean (SD) age of 71.3 (14.9) years, at a mean (SD) of 125.2 (55.3) minutes from onset, using whole-brain CT perfusion (CTp) imaging. Penumbra was defined using voxel-based thresholds for cerebral blood flow (CBF) and mean transit time (MTT); core was defined by cerebral blood volume (CBV). Normalized penumbra fraction was calculated as Penumbra volume/(Penumbra volume + Core volume) for both CBF and MTT (PenCBF and PenMTT, respectively). Collaterals were assessed on CT angiography (CTA). CTp ASPECTS score was applied visually, lower scores indicating larger lesions. ASPECTS ratios were calculated corresponding to penumbra fractions.

resultsBoth PenCBF and PenMTT showed decremental trends with increasing time since onset (Kendall's tau-b = -0.196, p = 0.055, and -0.187, p = 0.068, respectively). The CBF/CBV ASPECTS ratio, which showed a relationship to PenCBF (Kendall's tau-b = 0.190, p = 0.070), decreased with increasing time since onset (Kendall's tau-b = -0.265, p = 0.006). Collateral response did not relate to time (Kendall's tau-b = -0.039, p = 0.724).

conclusionEven within 4.5 h since stroke onset, a decremental relationship between penumbra and time, but not between collateral status and time, may be detected using perfusion CT imaging. The trends that we demonstrate merit evaluation in larger datasets to confirm our results, which may have potential wider applications, e.g., in the setting of strokes of unknown onset time.

Indexed as

collateralsCT perfusiononsetstroketime

Identifiers

PMID25914673
PMCPMC4391339

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