CareLit Fachartikel

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

Simon Aydar, Hermann Knobl, Wolfgang Burchert, Oliver Lindner · Nuklearmedizin - NuclearMedicine · 2024 · Heft 03 · S. 213-218

Dokument
905532
CareLit-ID
Jahr
2024
Publikation
PDF
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Metadaten
DOI
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Bibliografische Angaben

Zeitschrift
Nuklearmedizin - NuclearMedicine
Autor:innen
Simon Aydar, Hermann Knobl, Wolfgang Burchert, Oliver Lindner
Ausgabe
Heft 03 / 2024
Jahrgang 63
Seiten
213-218
Erschienen: 2024-06-01 00:00:00
ISSN
0029-5566

Zusammenfassung

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. Methods We studied 241 patients, 155 with suspected CAD and 86 with known CAD who were referred for MPS. The CSG was performed after the MPS acquisition. The CSG results (1) p-factor (perfusion, 0: normal, 1: mildly, 2: moderately, 3: highly abnormal) and (2) s-factor (structure, categories as p-factor) were compared with the MPS scores. The CSG system was not trained during the study.…

Schlagworte

chronic coronary syndrome myocardial perfusion SPECT vectorcardiography artificial intelligence Nuklearmedizin - NuclearMedicine