Comparison of Machine Learning Computed Tomography-Based Fractional Flow Reserve and Coronary CT Angiography-Derived Plaque Characteristics with Invasive Resting Full-Cycle Ratio.

Stefan BaumannMarkus HirtChristina RottGökce H ÖzdemirChristian TescheTobias BecherChristel WeissSvetlana HetjensIbrahim AkinStefan O SchoenbergMartin BorggrefeSonja JanssenDaniel P OverhoffDirk Lossnitzer

Published in: Journal of clinical medicine (2020)

CT-FFRML and morphological plaque characteristics show a significant correlation to detected hemodynamically significant coronary stenosis. Whole CT-FFRML had the best discriminatory power, using RFRTM as the reference standard.

Keyphrases

computed tomography
coronary artery disease
dual energy
image quality
contrast enhanced
positron emission tomography
machine learning
coronary artery
magnetic resonance imaging
heart rate
artificial intelligence
heart rate variability
magnetic resonance
atrial fibrillation