Abstract

Diagnosis of stable coronary artery disease is vital for prognosis, classification and early treatment. Current guidelines show that patients with stable angina who are suspected of CAD need to undergo a certain protocol for classification and further analysis. This review’s aim is to present the most used non-invasive techniques for identification of CAD and to underline the current development of imaging technology and the possible reduction of invasive measures due to non-invasive techniques. Currently, non-invasive techniques used to diagnose stable coronary artery disease have a very high accuracy and newer methods seem to be comparable to the gold-standard. The majority of the methods discussed have an optimal performance for patients with PTP between 15-85%, and the future of diagnosis for these patients seem to involve less invasive measures and less radiation by improving the current devices and by usage of machine-learning algorithms.

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