title: CT perfusion scanning with deconvolution analysis: pilot study in patients with acute middle cerebral artery stroke.
abstract: OBJECTIVE
  To measure mean cerebral blood flow (CBF) in ischemic and nonischemic territories and in low-attenuation regions in patients with acute stroke by using deconvolution-derived hemodynamic imaging.
  
  
  METHODS
  Twelve patients with acute middle cerebral artery stroke and 12 control patients were examined by using single-section computed tomography (CT) perfusion scanning. Analysis was performed with a deconvolution-based algorithm. Comparisons of mean CBF, cerebral blood volume (CBV), and mean transit time (MTT) were determined between hemispheres in all patients and between low- and normal-attenuation regions in patients with acute stroke. Two independent readers examined the images for extent of visually apparent regional perfusion abnormalities. The data were compared with extent of final infarct in seven patients with acute stroke who underwent follow-up CT or magnetic resonance imaging.
  
  
  RESULTS
  Significant decreases in CBF (-50%, P =.001) were found in the affected hemispheres of patients with acute stroke. Significant changes in CBV (-26%, P =.03) and MTT (+111%, P =.004) were also seen. Significant alterations in perfusion were also seen in low- compared with normal-attenuation areas. Pearson correlation between readers for extent of CBF abnormality was 0.94 (P =.001). Intraobserver variation was 8.9% for CBF abnormalities.
  
  
  CONCLUSIONS
  Deconvolution analysis of CT perfusion data is a promising method for evaluation of cerebral hemodynamics in patients with acute stroke.
authors.affiliation: Depts of Radiology, Duke University Medical Center, Box 3808, Durham, NC 27710-3808, USA. eastw004@mc.duke.edu
authors.forename: James D
authors.initials: JD
authors.lastname: Eastwood
authors.forename: Michael H
authors.initials: MH
authors.lastname: Lev
authors.forename: Tarek
authors.initials: T
authors.lastname: Azhari
authors.forename: Ting-Yim
authors.initials: TY
authors.lastname: Lee
authors.forename: Daniel P
authors.initials: DP
authors.lastname: Barboriak
authors.forename: David M
authors.initials: DM
authors.lastname: Delong
authors.forename: Clemens
authors.initials: C
authors.lastname: Fitzek
authors.forename: Michael
authors.initials: M
authors.lastname: Herzau
authors.forename: Max
authors.initials: M
authors.lastname: Wintermark
authors.forename: Reto
authors.initials: R
authors.lastname: Meuli
authors.forename: David
authors.initials: D
authors.lastname: Brazier
authors.forename: James M
authors.initials: JM
authors.lastname: Provenzale
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000792:Angiography / Q000379:methods; D001921:Brain / Q000098:blood supply* / Q000000981:diagnostic imaging*; D002560:Cerebrovascular Circulation; D005260:Female; D006439:Hemodynamics; D006801:Humans; D008297:Male; D008875:Middle Aged; D010865:Pilot Projects; D012039:Regional Blood Flow; D020521:Stroke / Q000000981:diagnostic imaging*; D014057:Tomography, X-Ray Computed / Q000379:methods*