Performance of Prediction Models for Diagnosing Severe Aortic Stenosis Based on Aortic Valve Calcium on Cardiac Computed Tomography: Incorporation of Radiomics and Machine Learning.
Nam Gyu KangYoung Joo SuhKyung Hwa HanYoung Jin KimByoung Wook ChoiPublished in: Korean journal of radiology (2020)
Models based on the radiomics features of AVC and ML algorithms may perform well for diagnosing severe AS, but the added value compared to AVC volume and score should be investigated further.
Keyphrases
- aortic valve
- aortic stenosis
- machine learning
- transcatheter aortic valve replacement
- aortic valve replacement
- transcatheter aortic valve implantation
- left ventricular
- computed tomography
- ejection fraction
- contrast enhanced
- lymph node metastasis
- early onset
- artificial intelligence
- deep learning
- coronary artery disease
- positron emission tomography
- big data
- magnetic resonance imaging
- magnetic resonance
- squamous cell carcinoma
- heart failure
- image quality
- mass spectrometry