My main research focus is on the accurate assessment of chronic coronary syndrome (CCS) due to stress-induced myocardial ischemia, to identify patients in need of revascularization therapy. This includes studies on the extent to which available diagnostic methods can be used to accurately assess the presence/absence of stress-induced myocardial ischemia and studies on long-term outcomes based on the chosen diagnostic method for this patient group.

Coronary artery disease is the leading cause of death world-wide, and it is important to be able to predict which patients with stable angina symptoms will benefit from invasive interventions. This is because invasive interventions are associated with risks for patients, such as the risk of in-stent stenoses and endothelial damage. In addition, healthcare costs related to both expensive unnecessary examinations and treatments can be reduced if we, through optimal use of existing diagnostic methods, can improve our ability to predict which patients will benefit from revascularization therapy.

In my research, I use myocardial perfusion imaging with nuclear medicine examinations and cardiac magnetic resonance imaging in addition to evaluation of quality of life to increase our understanding of the appropriate clinical management of patients with suspected CCS.