Brain imaging in comatose survivors of cardiac arrest: pathophysiological correlates and prognostic properties

HM Keijzer, CWE Hoedemaekers, FJA Meijer… - Resuscitation, 2018 - Elsevier
Introduction Hypoxic-ischemic brain injury is the main cause of death and disability of
comatose patients after cardiac arrest. Early and reliable prognostication is challenging …

Imaging for neuroprognostication after cardiac arrest: systematic review and meta-analysis

C Lopez Soto, L Dragoi, CC Heyn, A Kramer, R Pinto… - Neurocritical Care, 2020 - Springer
Background Predicting neurological outcome in comatose survivors of cardiac arrest relies
on clinical findings, radiological and neurophysiological test results. To evaluate the …

Neurophysiology and neuroimaging accurately predict poor neurological outcome within 24 hours after cardiac arrest: the ProNeCA prospective multicentre …

M Scarpino, F Lolli, G Lanzo, R Carrai, M Spalletti… - Resuscitation, 2019 - Elsevier
Aims To investigate the ability of 30-min electroencephalogram (EEG), short-latency
somatosensory evoked potentials (SEPs) and brain computed tomography (CT) to predict …

Gray matter to white matter ratio for predicting neurological outcomes in patients treated with target temperature management after cardiac arrest: a systematic review …

MK Na, W Kim, TH Lim, B Jang, Y Cho, KS Choi… - Resuscitation, 2018 - Elsevier
Aims This study aimed to evaluate the prognostic accuracy of the gray matter to white matter
ratio (GWR) in predicting neurological outcomes in post-cardiac arrest patients treated with …

Timing of brain computed tomography and accuracy of outcome prediction after cardiac arrest

KJ Streitberger, C Endisch, CJ Ploner, R Stevens… - Resuscitation, 2019 - Elsevier
Aim Gray–white-matter ratio (GWR) calculated from head CT is a radiologic index of tissue
changes associated with hypoxic-ischemic encephalopathy after cardiac arrest (CA) …

Neurophysiological and neuroradiological multimodal approach for early poor outcome prediction after cardiac arrest

M Scarpino, G Lanzo, F Lolli, R Carrai, M Moretti… - Resuscitation, 2018 - Elsevier
Introduction Prognosticating outcome after cardiac arrest (CA) requires a multimodal
approach. However, evidence regarding combinations of methods is limited. We evaluated …

Automated assessment of brain CT after cardiac arrest—an observational derivation/validation cohort study

M Kenda, M Scheel, A Kemmling, N Aalberts… - Critical Care …, 2021 - journals.lww.com
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 …

[HTML][HTML] Does a combination of≥ 2 abnormal tests vs. the ERC-ESICM stepwise algorithm improve prediction of poor neurological outcome after cardiac arrest? A post …

M Scarpino, F Lolli, G Lanzo, R Carrai, M Spalletti… - Resuscitation, 2021 - Elsevier
Background Bilaterally absent pupillary light reflexes (PLR) or N20 waves of short-latency
evoked potentials (SSEPs) are recommended by the 2015 ERC-ESICM guidelines as …

Grey–white matter ratio measured using early unenhanced brain computed tomography shows no correlation with neurological outcomes in patients undergoing …

JY Hong, DH Lee, JH Oh, SH Lee, YH Choi, SH Kim… - Resuscitation, 2019 - Elsevier
Aim This study evaluated whether the grey–white matter ratio (GWR) assessed via early
brain computed tomography (CT) within 2 h after the return of spontaneous circulation …

Inter-scanner variability in Hounsfield unit measured by CT of the brain and effect on gray-to-white matter ratio

JH Oh, SP Choi, JH Wee, JH Park - The American journal of emergency …, 2019 - Elsevier
Purpose: The density ratio of gray matter (GM) to white matter (WM) on brain computed
tomography (CT)(gray-to-white matter ratio, GWR) helps predict the prognosis of comatose …