Diagnostic accuracy of artificial intelligence-enabled vectorcardiography versus myocardial perfusion SPECT in patients with suspected or known coronary heart disease.

Journal: Nuklearmedizin. Nuclear medicine

Published Date: Feb 20, 2024

Abstract

AIM: The present study evaluated with myocardial perfusion SPECT (MPS) the diagnostic accuracy of an artificial intelligence-enabled vectorcardiography system (Cardisiography, CSG) for detection of perfusion abnormalities.

Authors

Simon Aydar

Institute of Radiology, Nuclearmedicine and Molecular Imaging, Heart and Diabetes Center North Rhine-Westphalia, Bad Oeynhausen, Germany.
Hermann Knobl

Institute of Radiology, Nuclearmedicine and Molecular Imaging, Heart and Diabetes Center North Rhine-Westphalia, Bad Oeynhausen, Germany.
Wolfgang Burchert

Institute of Radiology, Nuclearmedicine and Molecular Imaging, Heart and Diabetes Center North Rhine-Westphalia, Bad Oeynhausen, Germany.
Oliver Lindner

Institute of Radiology, Nuclearmedicine and Molecular Imaging, Heart and Diabetes Center North Rhine-Westphalia, Bad Oeynhausen, Germany.

Keywords

Adult Aged Artificial Intelligence Coronary Artery Disease Coronary Disease Female Humans Male Middle Aged Myocardial Perfusion Imaging Reproducibility of Results Sensitivity and Specificity Tomography, Emission-Computed, Single-Photon Vectorcardiography

External Resources

View on PubMed Access via DOI PubMed (38378022)

Diagnostic accuracy of artificial intelligence-enabled vectorcardiography versus myocardial perfusion SPECT in patients with suspected or known coronary heart disease.

Abstract

Authors

Keywords

External Resources

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