Clin Res Cardiol 107, Suppl 1, April 2018

Pericoronary adipose tissue CT attenuation and high-risk plaque characteristics in acute coronary syndrome compared to stable coronary artery disease
M. Goeller1, S. Achenbach1, S. Cadet2, F. Commandeur3, P. J. Slomka2, H. Gransar2, M. H. Albrecht4, B. K. Tamarappoo2, D. S. Berman2, M. Marwan1, D. Dey3
1Med. Klinik 2 - Kardiologie, Angiologie, Universitätsklinikum Erlangen, Erlangen; 2Department of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, US; 3Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, US; 4Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt;

Purpose: We aimed to investigate the relationship between high-risk plaque characteristics determined by coronary CT angiography (coronary CTA) and CT attenuation in pericoronary adipose tissue (PCAT) - a surrogate measure of coronary inflammation - in patients with acute coronary syndrome (ACS) and matched controls with stable coronary artery disease (CAD).

Materials and Methods: We analyzed CTA (performed before invasive coronary angiography) in consecutive patients who experienced their first non-ST-segment elevation myocardial infarction (NSTEMI) or unstable angina (n=19) and CTA in age- and gender-matched controls (n=16) with stable chest pain who also underwent invasive angiography after CTA. Culprit lesions were independently identified in ACS patients. Semi-automated software was used to quantify calcified plaque (CP), noncalcified plaque (NCP), low-density (LD) NCP, stenosis and contrast density difference. We further divided NCP into low- [-30 to 30 Hounsfield Units (HU)], intermediate- (31-130 HU) and high-attenuation NCP (131-350 HU) volumes, and corresponding burden (plaque volume x100%/vessel volume). CT attenuation of PCAT (HU) was measured in coronary CTA data sets around culprit- and non-culprit lesions in three-dimensional cylindrical layers. Assessment of coronary plaque characteristics and PCAT attenuation quantification was performed in 19 culprit lesions and 105 non-culprit lesions.  

Results: Low-attenuation and intermediate-attenuation NCP burden were higher in culprit (n=19) vs non-culprit (n=55) lesions of ACS patients (12.6% vs 3.6%, p<0.001; 38.4% vs 19.4%, p<0.001); high-attenuation NCP burden (131-350 HU) was similar in both groups (17.4 vs 18.5 %, p=0.72). Low-attenuation and intermediate-attenuation NCP burden were higher in culprit vs highest-grade stenosis lesion of matched control patients (12.6% vs 5.6%, p=0.002; 38.4% vs 22.1%, p<0.001). High-attenuation NCP burden was not significantly different (17.4% vs 22.7 %, p=0.09).

Culprit lesions also had higher NCP and LD-NCP burdens (NCP: 68.3% vs 50.5%, p<0.001; LD-NCP: 10.2% vs 5.5%, p=0.019), higher maximal stenosis (87.1% vs 65.6%; p=0.001) and contrast density differences (42.1% vs 21.8%; p=0.069) compared to the highest-grade stenosis lesion of matched control patients with stable CAD.

PCAT attenuation in CT was significantly higher around culprit lesions (n=19) compared to non-culprit lesions (n=55) of ACS patients (-69.1 HU vs -74.8 HU, p=0.014) as well as compared to the highest-grade stenosis lesions (n=16) of matched control patients (-69.1 HU vs -76.4 HU, p=0.013). Around culprit lesions, there was a significantly higher frequency of high PCAT CT attenuation ≥-68.2 HU compared to non-culprit lesions of ACS patients (47.8% vs. 15.7%, p=0.003).

PCAT attenuation in CT correlated significantly with only intermediate-attenuation NCP burden (r=0.45, p=0.007) but not the other NCP components.

Conclusion: High-risk plaque characteristics and PCAT CT attenuation were significantly higher around culprit lesions compared to non-culprit lesions of ACS patients as well as around the highest-grade stenosis lesion of matched control patients. Given the relationships between high-risk plaque features, ACS and inflammation, the findings suggest that morphological changes in pericoronary adipose tissue surrounding coronary plaques are signs of coronary inflammation.



http://www.abstractserver.de/dgk2018/jt/abstracts//V1253.htm