High-Speed On-Site Deep Learning–Based FFR-CT Algorithm: Evaluation Using Invasive Angiography as the Reference Standard

Giannopoulos, Andreas A.; Keller, Lukas S.; Sepulcri, Daniel; Boehm, Reto; Garefa, Chrysoula; Venugopal, Prem; Mitra, Jhimli; Ghose, Soumya; Deak, Paul; Pack, Jed D.; Davis, Cynthia L.; Stähli, Barbara E.; Stehli, Julia; Pazhenkottil, Aju P.; Kaufmann, Philipp; Buechel, Ronny R.

doi:10.2214/ajr.23.29156

American Journal of Roentgenology

2023

DOI: 10.2214/ajr.23.29156

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High-Speed On-Site Deep Learning–Based FFR-CT Algorithm: Evaluation Using Invasive Angiography as the Reference Standard

Andreas A. Giannopoulos

Lukas S. Keller

Daniel Sepulcri

et al.

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Cited by 6 publications

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Imaging biomarkers in cardiac CT: moving beyond simple coronary anatomical assessment

Cundari,

Marchitelli,

Pambianchi

et al. 2024

Radiol med

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Cardiac computed tomography angiography (CCTA) is considered the standard non-invasive tool to rule-out obstructive coronary artery disease (CAD). Moreover, several imaging biomarkers have been developed on cardiac-CT imaging to assess global CAD severity and atherosclerotic burden, including coronary calcium scoring, the segment involvement score, segment stenosis score and the Leaman-score. Myocardial perfusion imaging enables the diagnosis of myocardial ischemia and microvascular damage, and the CT-based fractional flow reserve quantification allows to evaluate non-invasively hemodynamic impact of the coronary stenosis. The texture and density of the epicardial and perivascular adipose tissue, the hypodense plaque burden, the radiomic phenotyping of coronary plaques or the fat radiomic profile are novel CT imaging features emerging as biomarkers of inflammation and plaque instability, which may implement the risk stratification strategies. The ability to perform myocardial tissue characterization by extracellular volume fraction and radiomic features appears promising in predicting arrhythmogenic risk and cardiovascular events. New imaging biomarkers are expanding the potential of cardiac CT for phenotyping the individual profile of CAD involvement and opening new frontiers for the practice of more personalized medicine.

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Imaging biomarkers in cardiac CT: moving beyond simple coronary anatomical assessment

Cundari,

Marchitelli,

Pambianchi

et al. 2024

Radiol med

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Current Status of Cardiac CT for Nuclear Medicine Professionals: Coronary Artery Disease Evaluation

2024

Nucl Med Mol Imaging

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Clinical Applications of Fractional Flow Reserve Derived from Computed Tomography in Coronary Artery Disease

Chan,

Wang,

Kong

et al. 2025

Mayo Clinic Proceedings: Digital Health

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High-Speed On-Site Deep Learning–Based FFR-CT Algorithm: Evaluation Using Invasive Angiography as the Reference Standard

Cited by 6 publications

References 39 publications

Imaging biomarkers in cardiac CT: moving beyond simple coronary anatomical assessment

Imaging biomarkers in cardiac CT: moving beyond simple coronary anatomical assessment

Current Status of Cardiac CT for Nuclear Medicine Professionals: Coronary Artery Disease Evaluation

Clinical Applications of Fractional Flow Reserve Derived from Computed Tomography in Coronary Artery Disease

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