3-Dimensional computed tomographic assessment predicts conduction block and paravalvular leakage after rapid-deployment aortic valve replacement.
Sung Jun ParkYounju RheeChee-Hoon LeeHo Jin KimJoon Bum KimSuk Jung ChooJae Won LeePublished in: European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery (2021)
CT parameters of the AV annulus and LVOT are highly reliable in the prediction of CAVB or PVL after RDAVR. Our data might justify CT-based sizing of prosthesis for RDAVR.
Keyphrases
- aortic valve replacement
- transcatheter aortic valve implantation
- aortic valve
- aortic stenosis
- image quality
- transcatheter aortic valve replacement
- dual energy
- computed tomography
- contrast enhanced
- positron emission tomography
- magnetic resonance imaging
- electronic health record
- ejection fraction
- big data
- coronary artery disease
- magnetic resonance
- heart failure
- machine learning
- quantum dots
- loop mediated isothermal amplification
- data analysis
- deep learning
- artificial intelligence