Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama, Japan.
Department of Cardiovascular Medicine, Wakayama Medical University, Wakayama, Japan.
JACC Cardiovasc Imaging. 2021 Jul;14(7):1440-1450. doi: 10.1016/j.jcmg.2020.08.030. Epub 2020 Nov 18.
This study sought to investigate the ability of combined near-infrared spectroscopy and intravascular ultrasound (NIRS-IVUS) to differentiate plaque rupture (PR), plaque erosion (PE), or calcified nodule (CN) in acute myocardial infarction (AMI).
Most acute coronary syndromes occur from coronary thrombosis based on PR, PE, or CN. In vivo differentiation among PR, PE, and CN is a major challenge for intravascular imaging.
The study enrolled 244 patients with AMI who had a de novo culprit lesion in a native coronary artery. The culprit lesions were assessed by both NIRS-IVUS and optical coherence tomography (OCT). Maximum lipid core burden index in 4 mm (maxLCBI) was measured by NIRS. Plaque cavity and convex calcium was detected by IVUS. The OCT diagnosis of PR (n = 175), PE (n = 44), and CN (n = 25) was used as a reference standard.
In the development cohort, IVUS-detected plaque cavity showed a high specificity (100%) and intermediate sensitivity (62%) for identifying OCT-PR. IVUS-detected convex calcium showed a high sensitivity (93%) and specificity (100%) for identifying OCT-CN. NIRS-measured maxLCBI was largest in OCT-PR (705 [interquartile range (IQR): 545 to 854]), followed by OCT-CN (355 [IQR: 303 to 478]) and OCT-PE (300 [IQR: 126 to 357]) (p < 0.001). The optimal cutoff value of maxLCBI was 426 for differentiating between OCT-PR and -PE; 328 for differentiating between OCT-PE and -CN; and 579 for differentiating between OCT-PR and -CN. In the validation cohort, the NIRS-IVUS classification algorithm using plaque cavity, convex calcium, and maxLCBI showed a sensitivity and specificity of 97% and 96% for identifying OCT-PR, 93% and 99% for OCT-PE, and 100% and 99% for OCT-CN, respectively.
By evaluating plaque cavity, convex calcium, and maxLCBI, NIRS-IVUS can accurately differentiate PR, PE, and CN.
本研究旨在探讨近红外光谱和血管内超声(NIRS-IVUS)联合检测在急性心肌梗死(AMI)中区分斑块破裂(PR)、斑块侵蚀(PE)或钙化结节(CN)的能力。
大多数急性冠状动脉综合征是由 PR、PE 或 CN 导致的冠状动脉血栓形成引起的。在体内区分 PR、PE 和 CN 是血管内成像的主要挑战。
本研究纳入了 244 例因原生冠状动脉内新发病灶而发生 AMI 的患者。应用 NIRS-IVUS 和光学相干断层扫描(OCT)对罪犯病变进行评估。应用 NIRS 测量 4mm 内最大脂质核心负荷指数(maxLCBI)。通过 IVUS 检测斑块腔和凸面钙。以 OCT 诊断的 PR(n=175)、PE(n=44)和 CN(n=25)作为参考标准。
在开发队列中,IVUS 检测到的斑块腔对识别 OCT-PR 具有高特异性(100%)和中等敏感性(62%)。IVUS 检测到的凸面钙对识别 OCT-CN 具有高敏感性(93%)和特异性(100%)。NIRS 测量的 maxLCBI 在 OCT-PR 中最大(705[四分位距(IQR):545 至 854]),其次是 OCT-CN(355[IQR:303 至 478])和 OCT-PE(300[IQR:126 至 357])(p<0.001)。maxLCBI 的最佳截断值为 426,用于区分 OCT-PR 和 -PE;328 用于区分 OCT-PE 和 -CN;579 用于区分 OCT-PR 和 -CN。在验证队列中,使用斑块腔、凸面钙和 maxLCBI 的 NIRS-IVUS 分类算法对识别 OCT-PR 的敏感性和特异性分别为 97%和 96%,对识别 OCT-PE 的敏感性和特异性分别为 93%和 99%,对识别 OCT-CN 的敏感性和特异性分别为 100%和 99%。
通过评估斑块腔、凸面钙和 maxLCBI,NIRS-IVUS 可以准确区分 PR、PE 和 CN。