Quantitative CT densitometry for predicting intracerebral hemorrhage growth.

ABSTRACT:

Background and purpose

Intracerebral hemorrhage growth independently predicts disability and death. We hypothesized that noncontrast quantitative CT densitometry reflects active bleeding and improves predictive models of growth.

Materials and 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 para

SUBMITTER: Barras CD 

PROVIDER: S-EPMC7964597 | biostudies-literature | 2013 Jun-Jul

REPOSITORIES: biostudies-literature