Comparison of quantitative atherosclerotic plaque burden from coronary CT angiography in patients with first acute coronary syndrome and stable coronary artery disease

被引:73
作者
Dey, Damini [1 ]
Achenbach, Stephan [2 ]
Schuhbaeck, Annika [2 ]
Pflederer, Tobias [2 ]
Nakazato, Ryo [3 ,4 ]
Slomka, Piotr J. [5 ]
Berman, Daniel S. [3 ,4 ]
Marwan, Mohamed [2 ]
机构
[1] Cedars Sinai Med Ctr, Biomed Imaging Res Inst, Dept Biomed Sci, Los Angeles, CA 90048 USA
[2] Univ Erlangen Nurnberg, Dept Internal Med 2, Erlangen, Germany
[3] Cedars Sinai Med Ctr, Dept Imaging, Dept Biomed Sci, Los Angeles, CA 90048 USA
[4] Cedars Sinai Med Ctr, Cedars Sinai Heart Inst, Los Angeles, CA 90048 USA
[5] Cedars Sinai Med Ctr, Dept Med, Los Angeles, CA 90048 USA
关键词
Coronary plaque; Plaque volume; Plaque burden; Coronary CT angiography; Plaque quantification; Quantitative coronary tree analysis; Acute coronary syndrome; COMPUTED TOMOGRAPHIC ANGIOGRAPHY; LESIONS; QUANTIFICATION; ACCURACY; CULPRIT;
D O I
10.1016/j.jcct.2014.07.007
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Coronary CTA allows characterization of non-calcified and calcified plaque and identification of high-risk plaque features. Objective: We aimed to quantitatively characterize and compare coronary plaque burden from CTA in patients with a first acute coronary syndrome (ACS) and controls with stable coronary artery disease. Materials and methods: We retrospectively analyzed consecutive patients with non-ST-segment elevation myocardial infarction (NSTEMI) or unstable angina with a first ACS, who underwent CTA as part of their initial workup before invasive coronary angiography and age- and gender-matched controls with stable chest pain; controls also underwent CTA with subsequent invasive angiography (total n = 28). Culprit arteries were identified in ACS patients. Coronary arteries were analyzed by automated software to quantify calcified plaque (CP), noncalcified plaque (NCP), and low-density NCP (LD-NCP, attenuation <30 Hounsfield units) volumes, and corresponding burden (plaque volume x 100%/vessel volume), stenosis, remodeling index, contrast density difference (maximum percent difference in attenuation/cross-sectional area from proximal cross-section), and plaque length. Results: ACS patients had fewer lesions (median, 1), with higher total NCP and LD-NCP burdens (NCP: 57.4% vs 41.5%; LD-NCP: 12.5% vs 8%; P <= .04), higher maximal stenoses (85.6% vs 53.0%; P = .003) and contrast density differences (46.1 vs 16.3%; P < .006). Per-patient CP burden was not different between ACS and controls. NCP and LD-NCP plaque burden was higher in culprit vs nonculprit arteries (NCP: 57.8% vs 9.5%; LD-NCP: 8.4% vs 0.6%; P <= .0003); CP was not significantly different. Culprit arteries had increased plaque lengths, remodeling indices, stenoses, and contrast density differences (46.1% vs 10.9%; P <= .001). Conclusion: Noninvasive quantitative coronary artery analysis identified several differences for ACS, both on per-patient and per-vessel basis, including increased NCP, LD-NCP burden, and contrast density difference. (C) 2014 Society of Cardiovascular Computed Tomography. All rights reserved.
引用
收藏
页码:368 / 374
页数:7
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