Associations between fully-automated, 3D-based functional analysis of the left atrium and classification schemes in atrial fibrillation.
Maurice PradellaConstantin AnastasopoulosShan YangManuela MoorPatrick BadertscherJulian E GehweilerFlorian SpiesPhilip HaafMichael ZellwegerGregor SommerBram StieltjesJens BremerichStefan OsswaldMichael KühneChristian SticherlingSven KnechtPublished in: PloS one (2022)
Fully-automatic morphometry of the whole LA derived from cMRI showed significant relationships between LAEF_active with increased stroke risk and severity of AFBS. Furthermore, higher age, higher AFBS and presence of heart failure were independent predictors of reduced LAEF_active, indicating its potential usefulness as an imaging biomarker.
Keyphrases
- atrial fibrillation
- deep learning
- heart failure
- machine learning
- catheter ablation
- left atrial appendage
- oral anticoagulants
- left atrial
- high resolution
- direct oral anticoagulants
- high throughput
- left ventricular
- percutaneous coronary intervention
- pulmonary artery
- vena cava
- venous thromboembolism
- acute coronary syndrome
- cardiac resynchronization therapy
- pulmonary embolism
- photodynamic therapy
- brain injury