Diagnostic performance of machine-learning-based computed fractional flow reserve (FFR) derived from coronary computed tomography angiography for the assessment of myocardial ischemia verified by invasive FFR. [electronic resource]
Producer: 20190114Description: 1987-1996 p. digitalISSN:- 1875-8312
- Aged
- Aged, 80 and over
- Cardiac Catheters
- Computed Tomography Angiography -- methods
- Coronary Angiography -- methods
- Coronary Stenosis -- diagnostic imaging
- Coronary Vessels -- diagnostic imaging
- Female
- Fractional Flow Reserve, Myocardial
- Humans
- Machine Learning
- Male
- Middle Aged
- Multidetector Computed Tomography -- methods
- Predictive Value of Tests
- Radiographic Image Interpretation, Computer-Assisted -- methods
- Reproducibility of Results
- Retrospective Studies
- Severity of Illness Index
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Publication Type: Comparative Study; Journal Article
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