title: Quantitative CT densitometry for predicting intracerebral hemorrhage growth.
abstract: OBJECTIVE
  Intracerebral hemorrhage growth independently predicts disability and death. We hypothesized that noncontrast quantitative CT densitometry reflects active bleeding and improves predictive models of growth.
  
  
  METHODS
  We analyzed 81 of the 96 available baseline CT scans obtained <3 hours post-ICH from the placebo arm of the phase IIb trial of recombinant factor VIIa. Fifteen scans could not be analyzed for technical reasons, but baseline characteristics were not statistically significantly different. Hounsfield unit histograms for each ICH were generated. Analyzed qCTD parameters included the following: mean, SD, coefficient of variation, skewness (distribution asymmetry), and kurtosis ("peakedness" versus "flatness"). These densitometry parameters were examined in statistical models accounting for baseline volume and time-to-scan.
  
  
  RESULTS
  The coefficient of variation of the ICH attenuation was the most significant individual predictor of hematoma growth (adjusted R(2) = 0.107, P = .002), superior to BV (adjusted R(2) = 0.08, P = .006) or TTS (adjusted R(2) = 0.03, P = .05). The most significant combined model incorporated coefficient of variation, BV, and TTS (adjusted R(2) = 0.202, P = .009 for coefficient of variation) compared with BV and TTS alone (adjusted R(2) = 0.115, P < .05). qCTD increased the number of growth predictions within ±1 mL of actual 24-hour growth by up to 47%.
  
  
  CONCLUSIONS
  Heterogeneous ICH attenuation on hyperacute (<3 hours) CT imaging is predictive of subsequent hematoma expansion and may reflect an active bleeding process. Further studies are required to determine whether qCTD can be incorporated into standard imaging protocols for predicting ICH growth.
authors.affiliation: Departments of Radiology, Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia.
authors.forename: C D
authors.initials: CD
authors.lastname: Barras
authors.forename: B M
authors.initials: BM
authors.lastname: Tress
authors.forename: S
authors.initials: S
authors.lastname: Christensen
authors.forename: M
authors.initials: M
authors.lastname: Collins
authors.forename: P M
authors.initials: PM
authors.lastname: Desmond
authors.forename: B E
authors.initials: BE
authors.lastname: Skolnick
authors.forename: S A
authors.initials: SA
authors.lastname: Mayer
authors.forename: S M
authors.initials: SM
authors.lastname: Davis
mesh_terms: D015502:Absorptiometry, Photon / Q000379:methods*; D002543:Cerebral Hemorrhage / Q000000981:diagnostic imaging* / Q000188:drug therapy / Q000503:physiopathology*; D018450:Disease Progression; D015942:Factor VIIa / Q000627:therapeutic use; D006801:Humans; D016014:Linear Models; D016015:Logistic Models; D011237:Predictive Value of Tests; D012372:ROC Curve; D011994:Recombinant Proteins / Q000627:therapeutic use; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*
chemical_list: D011994:Recombinant Proteins; C103587:recombinant FVIIa; D015942:Factor VIIa