title: Quantitative evaluation of mean transit times obtained with dynamic susceptibility contrast-enhanced MR imaging and with (133)Xe SPECT in occlusive cerebrovascular disease.
abstract: OBJECTIVE
  We report on quantitative mean transit time images obtained using dynamic susceptibility contrast-enhanced MR imaging after an IV bolus injection of a contrast agent. Our study compared cerebral hemodynamics measured using dynamic susceptibility contrast-enhanced MR imaging with the cerebral perfusion reserve obtained using dynamic (133)Xe single-photon emission computed tomography (SPECT).
  
  
  METHODS
  Seventeen patients with chronic cerebral artery occlusion or stenosis diagnosed by digital subtraction angiography were examined. Dynamic susceptibility contrast-enhanced MR imaging data were acquired using a multishot echoplanar sequence. Our procedure for quantification of mean transit time was based on the indicator dilution theory and deconvolution analysis.
  
  
  RESULTS
  The increased mean transit time values obtained with dynamic susceptibility contrast-enhanced MR imaging correlated well (r=-0.789, p < 0.0001) with decreased cerebral perfusion reserve determined by performing dynamic (133)Xe SPECT before and after administration of acetazolamide. The mean transit time values in the regions with severely decreased perfusion reserve were significantly higher than those in the regions with normal or moderately decreased perfusion reserve (p < 0.0001 and p = 0.0004, respectively).
  
  
  CONCLUSIONS
  Mean transit time images generated from dynamic susceptibility contrast-enhanced MR imaging data could be used to evaluate the extent of cerebral perfusion reserve impairment in patients with occlusive cerebrovascular disease.
authors.affiliation: Department of Radiology, Ehime University School of Medicine, Shitsukawa, Shigenobu-cho, Onsen-gun, Ehime, 791-0295 Japan.
authors.forename: Keiichi
authors.initials: K
authors.lastname: Kikuchi
authors.forename: Kenya
authors.initials: K
authors.lastname: Murase
authors.forename: Hitoshi
authors.initials: H
authors.lastname: Miki
authors.forename: Yoshifumi
authors.initials: Y
authors.lastname: Yasuhara
authors.forename: Yoshifumi
authors.initials: Y
authors.lastname: Sugawara
authors.forename: Teruhito
authors.initials: T
authors.lastname: Mochizuki
authors.forename: Junpei
authors.initials: J
authors.lastname: Ikezoe
authors.forename: Shiro
authors.initials: S
authors.lastname: Ohue
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D001783:Blood Flow Velocity / Q000502:physiology; D002536:Cerebral Arteries / Q000000981:diagnostic imaging / Q000473:pathology / Q000503:physiopathology; D002560:Cerebrovascular Circulation / Q000502:physiology*; D002561:Cerebrovascular Disorders / Q000000981:diagnostic imaging* / Q000473:pathology* / Q000503:physiopathology; D003287:Contrast Media; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D013997:Time Factors; D015899:Tomography, Emission-Computed, Single-Photon
chemical_list: D003287:Contrast Media