Fig. 5: Case examples. | npj Digital Medicine

Fig. 5: Case examples.

From: AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging

Fig. 5

a 51-year-old man with a body mass index (BMI) of 34, coronary artery calcium 1012, and normal perfusion. Epicardial adipose tissue (EAT) volume (red overlay) was 179 mL and median attenuation −62 (both high risk). He experienced a myocardial infarction 207 days after the scan. b 52-year-old woman with BMI 28, CAC 1203, and abnormal perfusion. Her EAT volume (red overlay) was 39 mL and median attenuation was -66 (both low risk). She was managed medically and did not experience death or myocardial infarction during 2.9 years of follow-up.

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