Abstract

Mental stress can induce myocardial ischemia in patients with anxiety and other psychological disorders. Computed tomography myocardial perfusion imaging (CT-MPI) has the potential to quantitatively diagnose myocardial ischemia. The aim of this study was to measure changes in myocardial microcirculation perfusion (MMP) in patients with anxiety who have angina symptoms/ischemia but no obstructive coronary artery disease (INOCA) using dynamic CT-MPI in combination with a mental stress test. Patients with INOCA were divided into five subgroups (none, minimal, mild, moderate, and severe) according to the generalized anxiety disorder scale. Patients underwent dynamic CT-MPI with mental stress testing using a series of the standardized color word/arithmetic stressors. Myocardial blood flow (MBF) during resting and stress phases of CT-MPI was recorded. Fifty-eight patients with 986 segments were included for final analysis. Compared to patients with none, minimal, mild, and moderate anxiety, those with severe anxiety had the largest rate of MBF decrease and the largest MBF decrease value. At the same time, those with no anxiety had the largest rate of MBF increase, the largest MBF increase value (all p< 0.05). As anxiety intensified, the rate of MBF increased and the MBF value increased (r= -0.24, r= -0.27, p< 0.05). Concomitantly, the rate of MBF decreased and the MBF value decreased (r= 0.63, r= 0.43, p< 0.05). Dynamic CT-MPI with a mental stress test can be used to evaluate MMP in patients with anxiety and INOCA. Mental stress resulted in significant differences in changes in the rate and value of MBF among patients with different anxiety degrees. • Dynamic CT-MPI with mental stress test worked well to quantitatively evaluate myocardial microcirculation perfusion in patients with anxiety and INOCA. • The rates of MBF decrease and MBF decrease value were positively correlated with anxiety degree of anxiety patients with INOCA. • MBF change derived from CT-MPI with mental stress test had a good performance to predicting anxiety degree of patients with anxiety and INOCA.

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