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.
