A machine learning-based approach to directly compare the diagnostic accuracy of myocardial perfusion imaging by conventional and cadmium-zinc telluride SPECT
Valeria Cantoni, Roberta Green, Carlo Ricciardi, Roberta Assante, Emilia Zampella, Carmela Nappi, Valeria Gaudieri, Teresa Mannarino, Andrea Genova, Giovanni De Simini, Alessia Giordano, Adriana D’Antonio, Wanda Acampa, Mario Petretta, Alberto Cuocolo
Topics & Concepts
Cadmium zinc tellurideMedicineNuclear medicineCoronary artery diseaseSingle-photon emission computed tomographyMyocardial perfusion imagingCADPerfusionGated SPECTEmission computed tomographyPositron emission tomographyRadiologyInternal medicinePhysicsOpticsEjection fractionDetectorEngineering drawingHeart failureEngineeringCardiac Imaging and DiagnosticsCardiovascular Disease and AdiposityCardiovascular Function and Risk Factors