Diagnostic Performance of a Machine Learning-Based CT-Derived FFR in Detecting Flow-Limiting Stenosis.
Thamara Carvalho MoraisAntonildes Nascimento Assunção-JrRoberto Nery Dantas-JrCarla Franco Grego da SilvaCaroline Bastida de PaulaRoberto Vitor Almeida TorresTiago Augusto MagalhãesCésar Higa NomuraLuiz Francisco Rodrigues de ÁvilaJosé Rodrigues Parga FilhoPublished in: Arquivos brasileiros de cardiologia (2021)
Machine learning-based FFRCT using previous generation CT scanners (128 and 256-detector rows) shows good diagnostic performance for the detection of CAD, and can be used to reduce the number of invasive procedures.
Keyphrases
- machine learning
- image quality
- dual energy
- computed tomography
- contrast enhanced
- artificial intelligence
- coronary artery disease
- big data
- positron emission tomography
- magnetic resonance imaging
- deep learning
- loop mediated isothermal amplification
- magnetic resonance
- real time pcr
- pet ct
- sensitive detection
- quantum dots