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Source: Translational Stroke Research
Condition: Thrombosis
Education: Learning
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Total 1 results found since Jan 2013.
Clot Analog Attenuation in Non-contrast CT Predicts Histology: an Experimental Study Using Machine Learning
AbstractExact histological clot composition remains unknown. The purpose of this study was to identify the best imaging variables to be extrapolated on clot composition and clarify variability in the imaging of thrombi by non-contrast CT. Using a CT-phantom and covering a wide range of histologies, we analyzed 80 clot analogs with respect to X-ray attenuation at 24 and 48 h after production. The mean, maximum, and minimum HU values for the axial and coronal reconstructions were recorded. Each thrombus underwent a corresponding histological analysis, together with a laboratory analysis of water and iron contents. Decision...
Source: Translational Stroke Research - January 13, 2020 Category: Neurology Source Type: research
