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Updated: Jun 20, 2026

In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography
Published on: February 16, 2016
Characterizing cardiac adipose tissue in post-acute myocardial infarction patients via CT imaging: a comparative
Xiaomeng Wang1, Shuang Leng2,3, Philip D Adamson4,5
1Cardiovascular and Metabolic Disorders Programme, Duke-National University of Singapore, Singapore, Singapore.
Aims:
To identify differences in CT-derived perivascular adipose tissue (PVAT) and epicardial adipose tissue (EAT) characteristics that may indicate inflammatory status differences between post-treatment acute myocardial infarction (AMI) and stable coronary artery disease (CAD) patients.
Methods And Results:
A cohort of 205 post-AMI patients (age 59.8 ± 9.2, 92.2% male) was propensity-matched with 205 stable CAD patients (age 60.5 ± 10.0, 90.2% male). Coronary CT angiography and non-contrast CT scans were performed to assess PVAT mean attenuation across major coronary segments and EAT mean attenuation and volumes, respectively. For post-AMI patients, CT scans were conducted 28.6 ± 13.8 days after the AMI incidence. Post-AMI patients showed higher non-culprit PVAT and EAT mean attenuation than stable CAD patients (8.01 HU, 95% CI 5.90-10.11 HU, P < 0.001, 2.48 HU, 95% CI 0.83-4.13 HU, P = 0.003, respectively). The EAT volume percentage at higher attenuation levels was higher in post-AMI patients compared with stable CAD (33.93 cm3, 95% CI 16.86-51.00 cm3, P < 0.001), with the difference maximized at the -70 HU threshold (4.75%, 95% CI 3.64%-5.87%, P < 0.001). PVAT mean attenuation positively correlated with EAT mean attenuations and the percentage of EAT volume > -70 HU (P < 0.001 for both).
Conclusion:
Post-AMI patients showed higher PVAT and EAT attenuation than stable CAD patients, potentially indicating AMI-associated inflammatory cardiac adipose tissue changes. A total of -70 HU can act as a potential cut-off for inflamed EAT. These findings highlight the potential of using CT-derived adipose tissue characteristics to assess inflammation and guide post-AMI management strategies.
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