Prognostic Value of Computed Tomography-Derived Fractional Flow Reserve Comparison With Myocardial Perfusion Imaging
Author(s) -
Ahmed Ibrahim Ahmed,
Yushui Han,
Mahmoud Al Rifai,
Talal Alnabelsi,
Faisal Nabi,
Su Min Chang,
Myra Cocker,
Chris Schwemmer,
Juan Carlos RamirezGiraldo,
Neal S. Kleiman,
William A. Zoghbi,
John J. Mahmarian,
Mouaz H. AlMallah
Publication year - 2021
Publication title -
jacc. cardiovascular imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.79
H-Index - 120
eISSN - 1936-878X
pISSN - 1876-7591
DOI - 10.1016/j.jcmg.2021.09.007
Subject(s) - fractional flow reserve , medicine , coronary artery disease , myocardial perfusion imaging , cardiology , revascularization , myocardial infarction , percutaneous coronary intervention , perfusion , proportional hazards model , radiology , coronary angiography
The aim of this study was to compare the incremental prognostic value of coronary computed tomography (CT) angiography (CCTA)-derived machine learning fractional flow reserve CT (ML-FFRct) versus that of ischemia detected on single-photon emission-computed tomography (SPECT) myocardial perfusion imaging (MPI) on incident cardiovascular outcomes.
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