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Computed Tomography Perfusion Alberta Stroke Program Early Computed Tomography Score Is Associated with Hemorrhagic Transformation after Acute Cardioembolic Stroke.

Authors :
Liu L
Wu B
Zhao J
Cao Y
Dedhia N
Caplan LR
Wang Q
Source :
Frontiers in neurology [Front Neurol] 2017 Nov 07; Vol. 8, pp. 591. Date of Electronic Publication: 2017 Nov 07 (Print Publication: 2017).
Publication Year :
2017

Abstract

Alberta Stroke Program Early Computed Tomography (CT) score (ASPECTS) has been applied to CT perfusion (CTP) with good interrater agreement to predict early ischemic stroke, and it can be useful in decision making in acute ischemic stroke. The aim of the present study was to assess the predictive value of CTP ASPECTS of hemorrhagic transformation (HT) in acute cardioembolic stroke. This is a single-enter, retrospective study. All patients hospitalized with acute cardioembolic stroke from January 2008 to September 2013 were included. ASPECTS of baseline non-contrast CT, CTP maps of cerebral blood volume (CBV), cerebral blood flow, and mean transit time were collected from 52 consecutive patients with less than 12-h anterior circulation ischemic stroke. MRI scan was performed within 72 h of symptom onset after index stroke including T2*-weighted gradient echo to identify HT. For bleeding risk assessment, CTP and diffusion-weighted imaging ASPECTS were categorized into 0-7 or 8-10. Baseline characteristics, ASPCETS scores and HT were compared. Eighteen (34.6%) patients had HT and four (7.7%) developed symptomatic HT. On univariate analysis, the proportion of patients with CBV-ASPECTS 0-7 was significantly higher in HT patients as compared to patients without HT (44 versus 9%, P  = 0.005). CBV ASPECTS 0-7 remained independent prognostic factors for HT after adjustment for clinical baseline variables. CBV ASPECTS could be of value to predict HT risk after acute cardioembolic stroke and may be a quick risk assessment approach before reperfusion therapy.

Details

Language :
English
ISSN :
1664-2295
Volume :
8
Database :
MEDLINE
Journal :
Frontiers in neurology
Publication Type :
Academic Journal
Accession number :
29163351
Full Text :
https://doi.org/10.3389/fneur.2017.00591