Brain imaging is important for evaluating the extent of neurologic injury after cardiac arrest.
Future work should focus on addressing previous methodological limitations and …

The ability to detect brain dysfunction and injury in critically ill patients is being enriched
thanks to remarkable advances in neuromonitoring data acquisition and analysis. Studies …

Background Some patients resuscitated from out-of-hospital cardiac arrest (OHCA) progress
to death by neurological criteria (DNC). We hypothesized that initial brain imaging …

Aim To evaluate neuron-specific enolase (NSE) thresholds for prediction of neurological
outcome after cardiac arrest and to analyze the influence of hemolysis and confounders …

Objective To establish a deep learning model for the detection of hypoxic–ischemic
encephalopathy (HIE) features on CT scans and to compare various networks to determine …

Background Head computed tomography (CT) is used to predict neurological outcome after
cardiac arrest (CA). The current reference standard includes quantitative image analysis by …

Aim To assess the ability of clinical examination, biomarkers, electrophysiology and brain
imaging, individually or in combination to predict good neurological outcomes at 6 months …

Abstract Introduction In Sweden, head computed tomography (CT) is commonly used for
prediction of neurological outcome after cardiac arrest, as recommended by guidelines. We …

Background Grey-white ratio (GWR) can estimate severity of cytotoxic cerebral edema
secondary to hypoxic-ischemic brain injury after cardiac arrest and predict progression to …

Background This study aimed to validate apparent diffusion coefficient (ADC) values and
thresholds to predict poor neurological outcomes in out-of-hospital cardiac arrest (OHCA) …