Background: Cardiac sarcoidosis (CS) has a poor prognosis because of frequent complication of atrioventricular block, ventricular tachycardia and congestive heart failure. Qualitative or quantitative 18F-FDG PET/CT has been used for diagnosing or assessing the disease activity of CS. However, the association between 18F-FDG myocardial uptake and clinical presentations in CS has not yet been clarified, and it is unknown if Patlak Ki images (Ki images) extracted from dynamic 18F-FDG-PET/CT are useful for evaluating the disease activity or clinical events in CS patients. In this context, this study was performed to investigate the usefulness of SUV and Patlak Ki images extracted from dynamic 18F-FDG-PET/CT for evaluating the risk of severe clinical events (SCEs) in CS. Methods: The SUV and Ki myocardial images were generated from 30 dynamic 18F-FDG-PET/CT scans of 21 CS patients including those with cardiac dysfunction and arrhythmic events. SUV parameters and Ki parameters (Ki max, Ki mean, Ki volume) were measured for positive myocardial lesions. The Mann–Whitney U-test or Fisher’s exact test was used appropriately to assess differences between quantitative variables or compare categorical data. The association between each quantitative parameter and presence of SCEs was analyzed by logistic regression analysis.Results: The SUV and Ki mages both were rated as positive in 19 scans and negative in 11 scans with the same incidence of SCEs which were significantly higher in positive than negative scans [cardiac dysfunction: 78.9% (15/19) vs. 27.2% (3/11), p=0.009; arrhythmic events: 65.5% (10/19) vs. 0% (0/11), p=0.004]. In 19 positive scans, neither SUV nor Ki parameters were significantly different between scans of patients with cardiac dysfunction (n=15) and those without (n=4) (p>0.05, each), whereas the three Ki parameters were significantly higher in scans for patients with arrhythmic events (n=10) than in those without (n=9) (p<0.05, each). Logistic regression analysis showed that the Ki volume alone was significantly associated with the risk of arrhythmic events (Odds ratio: 1.11, p=0.047).Conclusion: Patlak Ki images may add value to SUV images for evaluating the risk of SCEs in CS patients.