Quantitative Plaque Characteristics/Pericoronary Fat Attenuation Index and Acute Coronary Syndrome in Patients With Stable Angina Pectoris.

IF 1 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Defu Li, Yujin Wang, Tingting Zhu
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引用次数: 0

Abstract

Objective: Vascular inflammation affects acute coronary syndrome (ACS) occurrence in patients with stable angina. Coronary inflammation can be represented by the pericoronary fat attenuation index (FAI).This study investigated the quantitative prognostic value of plaque characteristics and FAI in patients with stable angina.

Methods: Risk factors for ACS occurrence in patients with stable angina pectoris were retrospectively analyzed. The diagnostic value of FAI and plaque characteristics for ACS occurrence in these patients were determined; Kaplan-Meier curves were used to predict ACS event incidence.

Results: After postpropensity score matching, data of 60 and 130 patients with and without ACS, respectively, were analyzed. Pericoronary FAI, lipid volume, and lipid percentage in the narrowest segment significantly improved ACS diagnosis in patients with stable angina. Luminal stenosis ≥50% and FAI >-88 Hounsfield units (HU) were independent risk factors for ACS occurrence in patients with stable angina. Perileft anterior descending artery (LAD) FAI >-88 HU better predicted ACS occurrence in patients with stable angina than did peri-LAD FAI ≤-88 HU.

Conclusions: In patients with stable angina, lipid volume and percentage and pericoronary FAI improved the diagnostic ability of luminal stenosis for ACS occurrence. Furthermore, peri-LAD FAI >-88 HU could predict ACS occurrence.

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来源期刊
CiteScore
2.50
自引率
0.00%
发文量
230
审稿时长
4-8 weeks
期刊介绍: The mission of Journal of Computer Assisted Tomography is to showcase the latest clinical and research developments in CT, MR, and closely related diagnostic techniques. We encourage submission of both original research and review articles that have immediate or promissory clinical applications. Topics of special interest include: 1) functional MR and CT of the brain and body; 2) advanced/innovative MRI techniques (diffusion, perfusion, rapid scanning); and 3) advanced/innovative CT techniques (perfusion, multi-energy, dose-reduction, and processing).
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