Comparing various AI approaches to traditional quantitative assessment of the myocardial perfusion in [82Rb] PET for MACE prediction

Comparing various AI approaches to traditional quantitative assessment of the myocardial perfusion in [82Rb] PET for MACE prediction

Abstract Assessing the individual risk of Major Adverse Cardiac Events (MACE) is of major importance as cardiovascular diseases remain the leading cause of death worldwide. Quantitative Myocardial Perfusion Imaging (MPI) parameters such as stress Myocardial Blood Flow (sMBF) or Myocardial Flow Reser...

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Detalhes bibliográficos
Main Authors: Sacha Bors, Daniel Abler, Matthieu Dietz, Vincent Andrearczyk, Julien Fageot, Marie Nicod-Lalonde, Niklaus Schaefer, Robert DeKemp, Christel H. Kamani, John O. Prior, Adrien Depeursinge
Formato: Artigo
Idioma:English
Publicado em: Nature Portfolio 2024-04-01
Colecção:Scientific Reports
Acesso em linha:https://doi.org/10.1038/s41598-024-60095-6

Internet

https://doi.org/10.1038/s41598-024-60095-6

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