The Effect of Severe Coronary Calcification on Diagnostic Performance of Computed Tomography-Derived Fractional Flow Reserve Analyses in People with Coronary Artery Disease.
Iva ŽužaTin NadarevićTomislav JakljevićNina BartolovićSlavica KovačićPublished in: Diagnostics (Basel, Switzerland) (2024)
Our results showed poor diagnostic accuracy of CCTA and cFFR in determining significant ischemia-related lesions in participants with high CAC scores when compared to ICA. Based on our results and study limitations we cannot exclude cFFR as a method for determining significant stenoses in people with high CAC. A key issue is accurate and detailed lumen segmentation based on good-quality CCTA images.
Keyphrases
- coronary artery disease
- computed tomography
- deep learning
- convolutional neural network
- coronary artery
- percutaneous coronary intervention
- cardiovascular events
- chronic kidney disease
- heart failure
- optical coherence tomography
- cardiovascular disease
- type diabetes
- machine learning
- mass spectrometry
- aortic stenosis
- acute coronary syndrome
- aortic valve