title: Brain volume perfusion CT performed with 128-detector row CT system in patients with cerebral gliomas: a feasibility study.
abstract: OBJECTIVE
  Validation of the feasibility and efficacy of volume perfusion computed tomography (VPCT) in the preoperative assessment of cerebral gliomas by applying a 128-slice CT covering the entire tumour.
  
  
  METHODS
  Forty-six patients (25 men, 21 women; mean age 52.8 years) with cerebral gliomas were evaluated with VPCT. Two readers independently evaluated VPCT data, drawing volumes of interest (VOIs) around the tumour according to maximum intensity projection volumes, which were mapped automatically onto the cerebral blood volume (CBV), flow (CBF) and permeability (Ktrans) perfusion datasets. As control, a second VOI was placed in the contralateral healthy cortex. Correlation among perfusion parameters, tumour grade, hemisphere and VOIs was assessed. The diagnostic power of perfusion parameters was analysed by receiver operating characteristics curve analyses.
  
  
  RESULTS
  VPCT was feasible in the assessment of the entire tumour extent. Mean values of Ktrans, CBV, CBF in high-grade gliomas were significantly higher compared with low-grade (p < 0.01). Ktrans demonstrated the highest diagnostic (97% sensitivity), positive (100%) and negative (94%) prognostic values.
  
  
  CONCLUSIONS
  VPCT was feasible in all subjects. All areas of different perfusion characteristics are depicted and quantified in colour-coded 3D maps. The derived parameters correlate well with tumour histopathology, differentiating low- from high-grade gliomas.
authors.affiliation: Department of Neuroradiology, Georg-August University, University Hospital of Goettingen, Robert-Koch Str. 40, 37075 Goettingen, Germany. argyro.xyda@med.uni-goettingen.de
authors.forename: Argyro
authors.initials: A
authors.lastname: Xyda
authors.forename: Ulrike
authors.initials: U
authors.lastname: Haberland
authors.forename: Ernst
authors.initials: E
authors.lastname: Klotz
authors.forename: Hans Christoph
authors.initials: HC
authors.lastname: Bock
authors.forename: Klaus
authors.initials: K
authors.lastname: Jung
authors.forename: Michael
authors.initials: M
authors.lastname: Knauth
authors.forename: Ramona
authors.initials: R
authors.lastname: Schramm
authors.forename: Marios Nikos
authors.initials: MN
authors.lastname: Psychogios
authors.forename: Gunter
authors.initials: G
authors.lastname: Erb
authors.forename: Peter
authors.initials: P
authors.lastname: Schramm
mesh_terms: D000328:Adult; D000368:Aged; D000704:Analysis of Variance; D001707:Biopsy, Needle; D001932:Brain Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology / Q000601:surgery; D002560:Cerebrovascular Circulation / Q000502:physiology; D015331:Cohort Studies; D054893:Cone-Beam Computed Tomography / Q000379:methods*; D003287:Contrast Media; D005240:Feasibility Studies; D005260:Female; D005910:Glioma / Q000000981:diagnostic imaging* / Q000473:pathology / Q000601:surgery; D006801:Humans; D007150:Immunohistochemistry; D008297:Male; D008875:Middle Aged; D009367:Neoplasm Staging; D010477:Perfusion / Q000379:methods; D011300:Preoperative Care / Q000379:methods; D012372:ROC Curve; D011856:Radiographic Image Enhancement; D012680:Sensitivity and Specificity
chemical_list: D003287:Contrast Media