title: ASPECTS is a predictor of favorable CT perfusion in acute ischemic stroke.
abstract: OBJECTIVE
  Computed tomography perfusion (CTP) is used by some stroke centers to stratify stroke patients who may potentially benefit from endovascular treatment. Our aim is to identify predictors of a favorable CTP in acute ischemic stroke patients evaluated within 8h from symptoms onset for possible endovascular treatment.
  
  
  METHODS
  We reviewed records of patients who had CTP studies between August 2010 and September 2012. We included all patients with anterior circulation strokes with evidence of large vessel disease. All patients had CT head and CT angiography head and neck as part of our protocol. Favorable CTP was defined as core infarct size less than one third the middle cerebral artery distribution and penumbra>20% of infarct size. The patients were divided into two groups based on favorable CTP or not. Baseline characteristics, time parameters, laboratory data and radiological data were compared between both groups. For statistical analysis, we used independent and Fisher's exact tests and a multivariate logistic regression model.
  
  
  RESULTS
  During this period, 60 patients met the inclusion criteria. Patients with favorable CTP were likely to be ≥ 80 years (33% vs 9%, P = 0.026), have Alberta Stroke Program early CT score (ASPECTS) > 7 (81% v. 21%, P ≤ 0.001) and lower mean time from symptom onset to CTP (234 ± 91 vs 305 ± 122, P = 0.015). On regression analysis, ASPECTS was the only independent predictor of a favorable CTP (OR = 16.2, CI: 4.3-62.2, P < 0.001).
  
  
  CONCLUSIONS
  ASPECT score may be used as a tool to predict a favorable CTP. Larger studies are needed to confirm our findings.
authors.affiliation: Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
authors.forename: Shadi
authors.initials: S
authors.lastname: Yaghi
authors.affiliation: Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
authors.forename: Nicholas
authors.initials: N
authors.lastname: Bianchi
authors.affiliation: Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
authors.forename: Adewumi
authors.initials: A
authors.lastname: Amole
authors.affiliation: Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, United States. Electronic address: aphinduja@yahoo.com.
authors.forename: Archana
authors.initials: A
authors.lastname: Hinduja
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D001131:Arkansas / Q000453:epidemiology; D002545:Brain Ischemia / Q000000981:diagnostic imaging* / Q000453:epidemiology*; D002533:Cerebral Angiography / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D018570:Risk Assessment / Q000379:methods; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D020521:Stroke / Q000000981:diagnostic imaging* / Q000453:epidemiology*; D014057:Tomography, X-Ray Computed / Q000706:statistics & numerical data*
keywords: ASPECTS; CT; CT perfusion; Stroke