Stable patients with suspected myocardial ischemia: comparison of machine-learning computed tomography-based fractional flow reserve and stress perfusion cardiovascular magnetic resonance imaging to detect myocardial ischemia

Stable patients with suspected myocardial ischemia: comparison of machine-learning computed tomography-based fractional flow reserve and stress perfusion cardiovascular magnetic resonance imaging to detect myocardial ischemia

Abstract Background Machine-Learning Computed Tomography-Based Fractional Flow Reserve (CT-FFRML) is a novel tool for the assessment of hemodynamic relevance of coronary artery stenoses. We examined the diagnostic performance of CT-FFRML compared to stress perfusion cardiovascular magnetic resonance...

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Bibliographic Details
Main Authors: Dirk Lossnitzer, Selina Klenantz, Florian Andre, Johannes Goerich, U. Joseph Schoepf, Kyle L. Pazzo, Andre Sommer, Matthias Brado, Friedemann Gückel, Roman Sokiranski, Tobias Becher, Ibrahim Akin, Sebastian J. Buss, Stefan Baumann
Format: Article
Language:English
Published: BMC 2022-02-01
Series:BMC Cardiovascular Disorders
Subjects:
Atherosclerosis
Cardiovascular magnetic resonance imaging
Coronary artery disease
Coronary CT angiography
Fractional flow reserve derived from coronary computed tomography angiography
Myocardial ischemia
Online Access:https://doi.org/10.1186/s12872-022-02467-2

Internet

https://doi.org/10.1186/s12872-022-02467-2

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