title: Apparent diffusion coefficient and cerebral blood volume in brain gliomas: relation to tumor cell density and tumor microvessel density based on stereotactic biopsies.
abstract: OBJECTIVE
  MR imaging-based apparent diffusion coefficient (ADC) and regional cerebral blood volume (rCBV) measurements have been related respectively to both cell and microvessel density in brain tumors. However, because of the high degree of heterogeneity in gliomas, a direct correlation between these MR imaging-based measurements and histopathologic features is required. The purpose of this study was to correlate regionally ADC and rCBV values with both cell and microvessel density in gliomas, by using coregistered MR imaging and stereotactic biopsies.
  
  
  METHODS
  Eighteen patients (9 men, 9 women; age range, 19-78 years) with gliomas underwent diffusion-weighted and dynamic susceptibility contrast-enhanced MR imaging before biopsy. Eighty-one biopsy samples were obtained and categorized as peritumoral, infiltrated tissue, or bulk tumor, with quantification of cell and microvessel density. ADC and rCBV values were measured at biopsy sites and were normalized to contralateral white matter on corresponding maps coregistered with a 3D MR imaging dataset. ADC and rCBV ratios were compared with quantitative histologic features by using the Spearman correlation test.
  
  
  RESULTS
  The highest correlations were found within bulk tumor samples between rCBV and cell density (r=0.57, P < .001) and rCBV and microvessel density (r=0.46, P < .01). An inverse correlation was found between ADC and microvessel density within bulk tumor (r=-0.36, P < .05), whereas no significant correlation was found between ADC and cell density.
  
  
  CONCLUSIONS
  rCBV regionally correlates with both cell and microvessel density within gliomas, whereas no regional correlation was found between ADC and cell density.
authors: Department of Radiology, Hôpital Erasme, Brussels, Belgium. nsadeghi@ulb.ac.be <nsadeghi@ulb.ac.be>
authors: N
authors: N
authors: Sadeghi
authors: N
authors: N
authors: D'Haene
authors: C
authors: C
authors: Decaestecker
authors: M
authors: M
authors: Levivier
authors: T
authors: T
authors: Metens
authors: C
authors: C
authors: Maris
authors: D
authors: D
authors: Wikler
authors: D
authors: D
authors: Baleriaux
authors: I
authors: I
authors: Salmon
authors: S
authors: S
authors: Goldman
mesh_terms: D000328:Adult; D000368:Aged; D001810:Blood Volume; D001932:Brain Neoplasms / Q000098:blood supply* / Q000473:pathology*; D002452:Cell Count; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D005260:Female; D005910:Glioma / Q000098:blood supply* / Q000473:pathology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008297:Male; D008833:Microcirculation / Q000473:pathology*; D008875:Middle Aged; D009389:Neovascularization, Pathologic / Q000473:pathology*