Radiomics-Based Prediction of Collateral Status from CT Angiography of Patients Following a Large Vessel Occlusion Stroke.
Emily W AveryAnthony Abou-KaramSandra Abi-FadelJonas BehlandAdrian MakStefan P HaiderTal ZeeviPina C SanelliChristopher G FilippiJoseph SchindlerCharles C MatoukGuido J FalconeNils PetersenLauren H SansingKevin N ShethSeyedmehdi PayabvashPublished in: Diagnostics (Basel, Switzerland) (2024)
Automated tools for the assessment of collateral status from admission CTA-such as the radiomics models described here-can generate clinically relevant and reproducible collateral scores to facilitate a timely treatment triage in patients experiencing an acute LVO stroke.
Keyphrases
- end stage renal disease
- ejection fraction
- newly diagnosed
- emergency department
- chronic kidney disease
- atrial fibrillation
- prognostic factors
- machine learning
- magnetic resonance imaging
- patient reported outcomes
- intensive care unit
- extracorporeal membrane oxygenation
- contrast enhanced
- single cell
- subarachnoid hemorrhage