CVPath Institute, Gaithersburg, MD, USA.
EuroIntervention. 2020 Aug 28;16(5):395-403. doi: 10.4244/EIJ-D-20-00202.
The aim of this study was to determine the ability of optical frequency domain imaging (OFDI)/optical coherence tomography (OCT) imaging systems to visualise the presence of cholesterol crystals (CCR) in human atherosclerotic coronary arteries.
We performed ex vivo imaging of human coronary arteries by OFDI/OCT. A total of 559 cross-sectional images from 45 autopsy cases were co-registered with histology; 117 histologic sections showed presence of necrotic core with cholesterol clefts (CC). We modified a previously used OFDI/OCT definition for identification of CCRs which we now define as a linear and discrete high-intensity signal (bright area) within the plaque with sharp borders between it and adjacent low-/intermediate-intensity tissue. Additionally, the high-intensity signal is not a spot but a well-defined area distinguishing it from macrophages which lack sharp borders. OFDI/OCT imaging identified the presence of CCR in 30 of the 117 histologic sections. The sensitivity and specificity of OFDI/OCT for detection of CCR was 25.6% and 100.0%, respectively. By multivariate analysis, significant predictors to visualise CCR by OCT/OFDI were 1) an overlying fibrous plaque, and 2) the presence of stacked CC, defined as CC arranged one on top of another with >3 layers of CC. The prevalence of complicated plaques (i.e., plaque haemorrhage and late necrotic core) was significantly higher in detectable CCR by OFDI/OCT as compared to undetectable CCR.
The presence of stacked CCs is required to detect CCR by OFDI/OCT. Detection of CCR by OCT/OFDI may help us to identify the late stages of atherosclerotic coronary plaque progression and improve risk stratification.
本研究旨在确定光频域成像(OFDI)/光相干断层扫描(OCT)成像系统在可视化人动脉粥样硬化性冠状动脉中胆固醇晶体(CCR)的存在的能力。
我们通过 OFDI/OCT 对人冠状动脉进行了离体成像。共对 45 例尸检病例的 559 个横截面图像进行了共配准,其中 117 个组织切片显示存在有胆固醇裂隙的坏死核心(CC)。我们修改了以前用于识别 CCR 的 OFDI/OCT 定义,现在将其定义为斑块内线性离散高强度信号(亮区),其与相邻的低/中强度组织之间具有锐利边界。此外,高强度信号不是一个点,而是一个定义明确的区域,与缺乏锐利边界的巨噬细胞区分开来。OFDI/OCT 成像在 117 个组织切片中的 30 个中识别出 CCR 的存在。OCT/OFDI 检测 CCR 的灵敏度和特异性分别为 25.6%和 100.0%。通过多变量分析,OCT/OFDI 可视化 CCR 的显著预测因子为 1)覆盖的纤维斑块,和 2)堆叠 CC 的存在,定义为 CC 一个接一个排列,有超过 3 层 CC。与不可检测的 CCR 相比,可检测的 CCR 中复杂斑块(即斑块出血和晚期坏死核心)的患病率明显更高。
需要存在堆叠的 CC 才能通过 OFDI/OCT 检测到 CCR。OCT/OFDI 检测 CCR 可能有助于我们识别动脉粥样硬化性冠状动脉斑块进展的晚期阶段,并改善风险分层。