Prognostic accuracy of head computed tomography for prediction of functional outcome after out-of-hospital cardiac arrest: Rationale and design of the prospective TTM2-CT-substudy

[1]  C. Leithner,et al.  A pilot study of methods for prediction of poor outcome by head computed tomography after cardiac arrest. , 2022, Resuscitation.

[2]  K. Blennow,et al.  Biomarkers of brain injury after cardiac arrest; a statistical analysis plan from the TTM2 trial biobank investigators , 2022, Resuscitation plus.

[3]  T. Cronberg,et al.  External validation of the 2020 ERC/ESICM prognostication strategy algorithm after cardiac arrest , 2022, Critical Care.

[4]  A. Günther,et al.  Prognostication of neurologic outcome using gray-white-matter-ratio in comatose patients after cardiac arrest , 2021, BMC Neurology.

[5]  T. Cronberg,et al.  Brain injury after cardiac arrest: pathophysiology, treatment, and prognosis , 2021, Intensive Care Medicine.

[6]  S. Kim,et al.  Differences in the gray-to-white matter ratio according to different computed tomography scanners for outcome prediction in post-cardiac arrest patients receiving target temperature management , 2021, PloS one.

[7]  E. Mascha,et al.  Statistics From A (Agreement) to Z (z Score): A Guide to Interpreting Common Measures of Association, Agreement, Diagnostic Accuracy, Effect Size, Heterogeneity, and Reliability in Medical Research. , 2021, Anesthesia and analgesia.

[8]  K. Blennow,et al.  Serum markers of brain injury can predict good neurological outcome after out-of-hospital cardiac arrest , 2021, Intensive Care Medicine.

[9]  C. Ploner,et al.  Automated Assessment of Brain CT After Cardiac Arrest—An Observational Derivation/Validation Cohort Study , 2021, Critical care medicine.

[10]  C. Callaway,et al.  Hypothermia versus Normothermia after Out-of-Hospital Cardiac Arrest. , 2021, The New England journal of medicine.

[11]  D. Greer,et al.  Early head CT in post-cardiac arrest patients: a helpful tool or contributor to self-fulfilling prophecy? , 2021, Resuscitation.

[12]  J. Soar,et al.  European Resuscitation Council and European Society of Intensive Care Medicine Guidelines 2021: Post-resuscitation care. , 2021, Resuscitation.

[13]  M. Wise,et al.  Neuropsychological outcome after cardiac arrest: a prospective case control sub-study of the Targeted hypothermia versus targeted normothermia after out-of-hospital cardiac arrest trial (TTM2) , 2020, BMC Cardiovascular Disorders.

[14]  J. Soar,et al.  Prediction of poor neurological outcome in comatose survivors of cardiac arrest: a systematic review , 2020, Intensive Care Medicine.

[15]  C. Callaway,et al.  Protocol for outcome reporting and follow-up in the Targeted Hypothermia versus Targeted Normothermia after Out-of-Hospital Cardiac Arrest trial (TTM2). , 2020, Resuscitation.

[16]  G. Dukic,et al.  European , 2020, Definitions.

[17]  A. Rossetti,et al.  Standardized EEG analysis to reduce the uncertainty of outcome prognostication after cardiac arrest , 2020, Intensive Care Medicine.

[18]  M. Mulder,et al.  Interobserver Variability in the Recognition of Hypoxic–Ischemic Brain Injury on Computed Tomography Soon After Out-of-Hospital Cardiac Arrest , 2020, Neurocritical Care.

[19]  N. Adhikari,et al.  Imaging for Neuroprognostication After Cardiac Arrest: Systematic Review and Meta-analysis , 2020, Neurocritical Care.

[20]  C. Ploner,et al.  Timing of Brain Computed Tomography and Accuracy of Outcome Prediction after Cardiac Arrest. , 2019, Resuscitation.

[21]  C. Callaway,et al.  Targeted hypothermia versus targeted Normothermia after out-of-hospital cardiac arrest (TTM2): A randomized clinical trial-Rationale and design. , 2019, American heart journal.

[22]  D. Greer,et al.  Distinct predictive values of current neuroprognostic guidelines in post-cardiac arrest patients. , 2019, Resuscitation.

[23]  J. Park,et al.  Inter‐scanner variability in Hounsfield unit measured by CT of the brain and effect on gray‐to‐white matter ratio , 2018, The American journal of emergency medicine.

[24]  J. Hofmeijer,et al.  Brain imaging in comatose survivors of cardiac arrest: Pathophysiological correlates and prognostic properties. , 2018, Resuscitation.

[25]  J. Fiehler,et al.  Computed Tomography–Based Imaging of Voxel-Wise Lesion Water Uptake in Ischemic Brain: Relationship Between Density and Direct Volumetry , 2017, Investigative radiology.

[26]  M. Kuiper,et al.  Head computed tomography for prognostication of poor outcome in comatose patients after cardiac arrest and targeted temperature management. , 2017, Resuscitation.

[27]  P. Ainslie,et al.  Clinical pathophysiology of hypoxic ischemic brain injury after cardiac arrest: a “two-hit” model , 2017, Critical Care.

[28]  Johannes B Reitsma,et al.  STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration , 2016, BMJ Open.

[29]  Dong Hoon Lee,et al.  Predicting Outcome With Diffusion-Weighted Imaging in Cardiac Arrest Patients Receiving Hypothermia Therapy: Multicenter Retrospective Cohort Study , 2015, Critical care medicine.

[30]  B. Hamm,et al.  Outcome Prediction in Patients After Cardiac Arrest: A Simplified Method for Determination of Gray–White Matter Ratio in Cranial Computed Tomography , 2015, Clinical Neuroradiology.

[31]  J. Chalela,et al.  The White Cerebellum Sign: An Under Recognized Sign of Increased Intracranial Pressure , 2013, Neurocritical Care.

[32]  C. Ploner,et al.  The prognostic value of gray-white-matter ratio in cardiac arrest patients treated with hypothermia , 2013, Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine.

[33]  C. Callaway,et al.  Association between a quantitative CT scan measure of brain edema and outcome after cardiac arrest. , 2011, Resuscitation.

[34]  J. Heltne,et al.  Repeated magnetic resonance imaging and cerebral performance after cardiac arrest--a pilot study. , 2011, Resuscitation.

[35]  S. Higano,et al.  Pseudo-Subarachnoid Hemorrhage Found in Patients with Postresuscitation Encephalopathy: Characteristics of CT Findings and Clinical Importance , 2008, American Journal of Neuroradiology.

[36]  Robyn L McClelland,et al.  Validation of a new coma scale: The FOUR score , 2005, Annals of neurology.