Stable patients with suspected myocardial ischemia: comparison of machine-learning computed tomography-based fractional flow reserve and stress perfusion cardiovascular magnetic resonance imaging to detect myocardial ischemia

BACKGROUND: Machine-Learning Computed Tomography-Based Fractional Flow Reserve (CT-FFR(ML)) is a novel tool for the assessment of hemodynamic relevance of coronary artery stenoses. We examined the diagnostic performance of CT-FFR(ML) compared to stress perfusion cardiovascular magnetic resonance (CM...

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Detalles Bibliográficos
Autores principales: Lossnitzer, Dirk, Klenantz, Selina, Andre, Florian, Goerich, Johannes, Schoepf, U. Joseph, Pazzo, Kyle L., Sommer, Andre, Brado, Matthias, Gückel, Friedemann, Sokiranski, Roman, Becher, Tobias, Akin, Ibrahim, Buss, Sebastian J., Baumann, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817462/
https://www.ncbi.nlm.nih.gov/pubmed/35120459
http://dx.doi.org/10.1186/s12872-022-02467-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817462/
https://www.ncbi.nlm.nih.gov/pubmed/35120459
http://dx.doi.org/10.1186/s12872-022-02467-2

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