Standardised and automated assessment of head computed tomography reliably predicts poor functional outcome after cardiac arrest: a prospective multicentre study.
Margareta LangMartin KendaMichael ScheelJuha MartolaMatthew WheelerStephanie OwenMikael JohnssonMartin AnnbornJosef DankiewiczNicolas DeyeJoachim DüringHans FribergThomas HallidayJanus Christian JakobsenJean-Baptiste LascarrouHelena LevinGisela LiljaAnna LybeckPeter McGuiganChristian RylanderVictoria SemMatthew ThomasSusann UllénJohan UndénMatt P WiseTobias CronbergJohan WasséliusNiklas NielsenChristoph LeithnerMarion Moseby-KnappePublished in: Intensive care medicine (2024)
Standardised qualitative and quantitative assessments of CT are reliable and feasible methods to predict poor functional outcome after cardiac arrest. Automated GWR has the potential to make CT quantification for neuroprognostication accessible to all centres treating cardiac arrest patients.
Keyphrases
- cardiac arrest
- computed tomography
- cardiopulmonary resuscitation
- dual energy
- image quality
- contrast enhanced
- positron emission tomography
- end stage renal disease
- machine learning
- deep learning
- chronic kidney disease
- high throughput
- ejection fraction
- newly diagnosed
- magnetic resonance imaging
- systematic review
- prognostic factors
- peritoneal dialysis
- pet ct
- optic nerve
- mass spectrometry
- patient reported