Automated Assessment of Brain CT After Cardiac Arrest-An Observational Derivation/Validation Cohort Study.
Journal:
Critical care medicine
PMID:
34374503
Abstract
OBJECTIVES: Prognostication of outcome is an essential step in defining therapeutic goals after cardiac arrest. Gray-white-matter ratio obtained from brain CT can predict poor outcome. However, manual placement of regions of interest is a potential source of error and interrater variability. Our objective was to assess the performance of poor outcome prediction by automated quantification of changes in brain CTs after cardiac arrest.