Quantitative CT Densitometry for Predicting Intracerebral Hemorrhage Growth
نویسندگان
چکیده
منابع مشابه
Quantitative CT densitometry for predicting intracerebral hemorrhage growth.
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 facto...
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BACKGROUND AND PURPOSE The location of intracerebral hemorrhage (ICH) is currently described in a qualitative way; we provide a quantitative framework for estimating ICH engagement and its relevance to stroke outcomes. METHODS We analyzed 111 patients with ICH from the Minimally Invasive Surgery Plus Recombinant-Tissue Plasminogen Activator for Intracerebral Evacuation (MISTIE) II clinical tr...
متن کاملDiscrimination of Tumorous Intracerebral Hemorrhage from Benign Causes Using CT Densitometry.
BACKGROUND AND PURPOSE Differentiation of tumorous intracerebral hemorrhage from benign etiology is critical in initial treatment plan and prognosis. Our aim was to investigate the diagnostic value of CT densitometry to discriminate tumorous and nontumorous causes of acute intracerebral hemorrhage. MATERIALS AND METHODS This retrospective study included 110 patients with acute intracerebral h...
متن کاملDensity and shape as CT predictors of intracerebral hemorrhage growth.
BACKGROUND AND PURPOSE Intracerebral hemorrhage (ICH) growth predicts mortality and functional outcome. We hypothesized that irregular hematoma shape and density heterogeneity, reflecting active, multifocal bleeding or a variable bleeding time course, would predict ICH growth. METHODS Three raters examined baseline sub-3-hour CT brain scans of 90 patients in the placebo arm of a Phase IIb tri...
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ژورنال
عنوان ژورنال: American Journal of Neuroradiology
سال: 2013
ISSN: 0195-6108,1936-959X
DOI: 10.3174/ajnr.a3375