title: Correlation of early dynamic CT perfusion imaging with whole-brain MR diffusion and perfusion imaging in acute hemispheric stroke.
abstract: OBJECTIVE
  Compared with MR imaging, dynamic CT perfusion imaging covers only a fraction of the whole brain. An important assumption is that CT perfusion abnormalities correlate with total ischemic volume. The purpose of our study was to measure the degree of correlation between abnormalities seen on CT perfusion scans and the volumes of abnormality seen on MR diffusion and perfusion images in patients with acute large-vessel stroke.
  
  
  METHODS
  Fourteen patients with acute hemispheric stroke symptoms less than 12 hours in duration were studied with single-slice CT perfusion imaging and multislice MR diffusion and perfusion imaging. CT and MR perfusion studies were completed within 2.5 hours of one another (mean, 77 minutes) and were reviewed independently by two neuroradiologists. Hemodynamic parameters included cerebral blood flow (CBF), cerebral blood volume (CBV), and mean transit time (MTT). Extents of abnormality on images were compared by using Kendall correlation.
  
  
  RESULTS
  Statistically significant correlation was found between CT-CBF and MR-CBF abnormalities (tau = 0.60, P =.003) and CT-MTT and MR-MTT abnormalities (tau = 0.65, P =.001). Correlation of CT-CBV with MR-CBV approached significance (tau = 0.39, P =.06). Extent of initial hyperintensity on diffusion-weighted images correlated best with extent of MR-CBV abnormality (tau = 0.69, P =.001), extent of MR-MTT abnormality (tau = 0.67, P =.002), and extent of CT-CBV abnormality (tau = 0.47, P =.02).
  
  
  CONCLUSIONS
  Good correlation was seen between CT and MR for CBF and MTT abnormalities. It remains uncertain whether CT perfusion CBV abnormalities correspond well to whole-brain abnormalities.
authors.affiliation: Department of Radiology, Duke University Medical Center, Durham, NC 27710, USA.
authors.forename: James D
authors.initials: JD
authors.lastname: Eastwood
authors.forename: Michael H
authors.initials: MH
authors.lastname: Lev
authors.forename: Max
authors.initials: M
authors.lastname: Wintermark
authors.forename: Clemens
authors.initials: C
authors.lastname: Fitzek
authors.forename: Daniel P
authors.initials: DP
authors.lastname: Barboriak
authors.forename: David M
authors.initials: DM
authors.lastname: Delong
authors.forename: Ting-Yim
authors.initials: TY
authors.lastname: Lee
authors.forename: Tarek
authors.initials: T
authors.lastname: Azhari
authors.forename: Michael
authors.initials: M
authors.lastname: Herzau
authors.forename: Vani R
authors.initials: VR
authors.lastname: Chilukuri
authors.forename: James M
authors.initials: JM
authors.lastname: Provenzale
mesh_terms: D000208:Acute Disease; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001783:Blood Flow Velocity; D001810:Blood Volume; D001921:Brain / Q000000981:diagnostic imaging / Q000473:pathology; D002533:Cerebral Angiography; D002560:Cerebrovascular Circulation; D003287:Contrast Media; D038524:Diffusion Magnetic Resonance Imaging; D005260:Female; D006801:Humans; D018810:Magnetic Resonance Angiography; D008297:Male; D008875:Middle Aged; D020521:Stroke / Q000175:diagnosis* / Q000000981:diagnostic imaging / Q000503:physiopathology; D014057:Tomography, X-Ray Computed
chemical_list: D003287:Contrast Media