title: Multiphasic perfusion computed tomography in hyperacute ischemic stroke: comparison with diffusion and perfusion magnetic resonance imaging.
abstract: OBJECTIVE
  The purpose of this study was to compare multiphasic perfusion computed tomography (CT) with diffusion and perfusion magnetic resonance imaging (MRI) in predicting final infarct volume, infarct growth, and clinical severity in patients with hyperacute ischemia untreated by thrombolytic therapy.
  
  
  METHODS
  Multiphasic perfusion CT was performed in 19 patients with ischemic stroke within 6 hours of symptom onset. Two CT maps of peak and total perfusion were generated from CT data. Diffusion-weighted imaging (DWI) and perfusion MRI were obtained within 150 minutes after CT. Lesion volumes on CT and MRI were compared with final infarct volume and clinical scores, and mismatch on CT or MRI was compared with infarct growth.
  
  
  RESULTS
  The lesion volume on the CT total perfusion map strongly correlated with MRI relative cerebral blood volume (rCBV), and that on the CT peak perfusion map strongly correlated with MRI relative cerebral blood flow (rCBF) and rCBV (P < 0.001). The lesion volume on unenhanced CT or DWI moderately correlated with final infarct volume, but only lesion volume on unenhanced CT weakly correlated with baseline clinical scores (P = 0.024). The lesion volumes on the CT peak perfusion map and MRI rCBF similarly correlated with final infarct volume and clinical scores and more strongly than those on mean transit time (MTT) or time to peak (TTP). DWI-rCBF or CT mismatch was more predictive of infarct growth than DWI-MTT or DWI-TTP mismatch.
  
  
  CONCLUSIONS
  Multiphasic perfusion CT is useful and of comparable utility to diffusion and perfusion MRI for predicting final infarct volume, infarct growth, and clinical severity in acute ischemic stroke.
authors.affiliation: Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. NP2003@freechal.com
authors.forename: Dong Gyu
authors.initials: DG
authors.lastname: Na
authors.forename: Jae Wook
authors.initials: JW
authors.lastname: Ryoo
authors.forename: Kwang Ho
authors.initials: KH
authors.lastname: Lee
authors.forename: Chan Hong
authors.initials: CH
authors.lastname: Moon
authors.forename: Chin A
authors.initials: CA
authors.lastname: Yi
authors.forename: Eung Yeop
authors.initials: EY
authors.lastname: Kim
authors.forename: Soo Joo
authors.initials: SJ
authors.lastname: Lee
authors.forename: Byong Yong
authors.initials: BY
authors.lastname: Yi
authors.forename: Jae Hyoung
authors.initials: JH
authors.lastname: Kim
authors.forename: Hong Sik
authors.initials: HS
authors.lastname: Byun
mesh_terms: D000208:Acute Disease; D000368:Aged; D000369:Aged, 80 and over; D001921:Brain / Q000098:blood supply / Q000000981:diagnostic imaging / Q000503:physiopathology; D002545:Brain Ischemia / Q000175:diagnosis* / Q000473:pathology; D002343:Carotid Artery, Internal / Q000000981:diagnostic imaging / Q000473:pathology; D016893:Carotid Stenosis / Q000175:diagnosis; D002560:Cerebrovascular Circulation / Q000502:physiology; D038524:Diffusion Magnetic Resonance Imaging; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D018810:Magnetic Resonance Angiography; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D012720:Severity of Illness Index; D013223:Statistics as Topic; D020521:Stroke / Q000175:diagnosis* / Q000473:pathology; D013997:Time Factors; D014057:Tomography, X-Ray Computed