title: Perfusion imaging of brain tumors using arterial spin-labeling: correlation with histopathologic vascular density.
abstract: OBJECTIVE
  We investigated the relationship between tumor blood-flow measurement based on perfusion imaging by arterial spin-labeling (ASL-PI) and histopathologic findings in brain tumors.
  
  
  METHODS
  We used ASL-PI to examine 35 patients with brain tumors, including 11 gliomas, 9 meningiomas, 9 schwannomas, 1 diffuse large B-cell lymphoma, 4 hemangioblastomas, and 1 metastatic brain tumor. As an index of tumor perfusion, the relative signal intensity (SI) of each tumor (%Signal intensity) was determined as a percentage of the maximal SI within the tumor per averaged SI within normal cerebral gray matter on ASL-PI. Relative vascular attenuation (%Vessel) was determined as the total microvessel area per the entire tissue area on CD-34-immunostained histopathologic specimens. MIB1 indices of gliomas were also calculated. The differences in %Signal intensity among different histopathologic types and between high- and low-grade gliomas were compared. In addition, the correlations between %Signal intensity and %Vessel or MIB1 index were evaluated in gliomas.
  
  
  RESULTS
  Statistically significant differences in %Signal intensity were observed between hemangioblastomas versus gliomas (P < .005), meningiomas (P < .05), and schwannomas (P < .005). Among gliomas, %Signal intensity was significantly higher for high-grade than for low-grade tumors (P < .05). Correlation analyses revealed significant positive correlations between %Signal intensity and %Vessel in 35 patients, including all 6 histopathologic types (rs = 0.782, P < .00005) and in gliomas (rs = 0.773, P < .05). In addition, in gliomas, %Signal intensity and MIB1 index were significantly positively correlated (rs = 0.700, P < .05).
  
  
  CONCLUSIONS
  ASL-PI may predict histopathologic vascular densities of brain tumors and may be useful in distinguishing between high- and low-grade gliomas and in differentiating hemangioblastomas from other brain tumors.
authors.affiliation: Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan. tnogucci@radiol.med.kyushu-u.ac.jp
authors.forename: T
authors.initials: T
authors.lastname: Noguchi
authors.forename: T
authors.initials: T
authors.lastname: Yoshiura
authors.forename: A
authors.initials: A
authors.lastname: Hiwatashi
authors.forename: O
authors.initials: O
authors.lastname: Togao
authors.forename: K
authors.initials: K
authors.lastname: Yamashita
authors.forename: E
authors.initials: E
authors.lastname: Nagao
authors.forename: T
authors.initials: T
authors.lastname: Shono
authors.forename: M
authors.initials: M
authors.lastname: Mizoguchi
authors.forename: S
authors.initials: S
authors.lastname: Nagata
authors.forename: T
authors.initials: T
authors.lastname: Sasaki
authors.forename: S O
authors.initials: SO
authors.lastname: Suzuki
authors.forename: T
authors.initials: T
authors.lastname: Iwaki
authors.forename: K
authors.initials: K
authors.lastname: Kobayashi
authors.forename: F
authors.initials: F
authors.lastname: Mihara
authors.forename: H
authors.initials: H
authors.lastname: Honda
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D001932:Brain Neoplasms / Q000098:blood supply* / Q000473:pathology; D049109:Cell Proliferation; D002560:Cerebrovascular Circulation; D002648:Child; D002675:Child, Preschool; D005260:Female; D005910:Glioma / Q000098:blood supply / Q000473:pathology; D006391:Hemangioma / Q000098:blood supply / Q000473:pathology; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D008577:Meningeal Neoplasms / Q000098:blood supply / Q000473:pathology; D008579:Meningioma / Q000098:blood supply / Q000473:pathology; D008833:Microcirculation / Q000473:pathology; D008875:Middle Aged; D009442:Neurilemmoma / Q000098:blood supply / Q000473:pathology; D013113:Spin Labels
chemical_list: D013113:Spin Labels