Hong Huihong, Li Chunming, Gutiérrez-Chico Juan Luis, Wang Zhiqing, Huang Jiayue, Chu Miao, Kubo Takashi, Chen Lianglong, Wijns William, Tu Shengxian
Department of Cardiology, Fujian Medical University Union Hospital, Fuzhou, China.
Biomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
EuroIntervention. 2022 Sep 8;18(12):1001-10. doi: 10.4244/EIJ-D-22-00537.
The lipid-to-cap ratio (LCR) and thin-cap fibroatheroma (TCFA) derived from optical coherence tomography (OCT) are indicative of plaque vulnerability.
We aimed to explore the association of a novel method to estimate radial wall strain (RWS) from angiography with plaque composition and features of vulnerability assessed by OCT.
Anonymised data from patients with intermediate stenosis who underwent coronary angiography (CAG) and OCT were analysed in a core laboratory. Angiography-derived RWS was computed as the maximum deformation of lumen diameter throughout the cardiac cycle, expressed as a percentage of the largest lumen diameter. The LCR and TCFA were automatically determined on OCT images by a recently validated algorithm based on artificial intelligence.
OCT and CAG images from 114 patients (124 vessels) were analysed. The average time for the analysis of RWS was 57 (39-82) seconds. The RWS in the interrogated plaques was 12% (10-15%) and correlated positively with the LCR (r=0.584; p<0.001) and lipidic plaque burden (r=0.411; p<0.001), and negatively with fibrous cap thickness (r= -0.439; p<0.001). An RWS >12% was an angiographic predictor for an LCR >0.33 (area under the curve [AUC]=0.86, 95% confidence interval [CI]: 0.78-0.91; p<0.001) and TCFA (AUC=0.72, 95% CI: 0.63-0.80; p<0.001). Lesions with RWS >12% had a higher prevalence of TCFA (22.0% versus 1.5%; p<0.001), thinner fibrous cap thickness (71 μm versus 101 μm; p<0.001), larger lipidic plaque burden (23.3% versus 15.4%; p<0.001), and higher maximum LCR (0.41 versus 0.18; p<0.001) compared to lesions with RWS ≤12%.
Angiography-derived RWS was significantly correlated with plaque composition and known OCT features of plaque vulnerability in patients with intermediate coronary stenosis.
光学相干断层扫描(OCT)得出的脂质与纤维帽比例(LCR)和薄纤维帽纤维粥样斑块(TCFA)可指示斑块易损性。
我们旨在探讨一种从血管造影术中估算径向壁应变(RWS)的新方法与斑块成分以及通过OCT评估的易损特征之间的关联。
在核心实验室对接受冠状动脉造影(CAG)和OCT检查的中度狭窄患者的匿名数据进行分析。血管造影得出的RWS计算为整个心动周期中管腔直径的最大变形,以最大管腔直径的百分比表示。LCR和TCFA通过基于人工智能的最近验证的算法在OCT图像上自动确定。
分析了114例患者(124支血管)的OCT和CAG图像。分析RWS的平均时间为57(39 - 82)秒。所研究斑块中的RWS为12%(10 - 15%),与LCR呈正相关(r = 0.584;p < 0.001)和脂质斑块负荷呈正相关(r = 0.411;p < 0.001),与纤维帽厚度呈负相关(r = -0.439;p < 0.001)。RWS>12%是LCR>0.33(曲线下面积[AUC]=0.86,95%置信区间[CI]:0.78 - 0.91;p < 0.001)和TCFA(AUC = 0.72,95% CI:0.63 - 0.80;p < 0.001)的血管造影预测指标。与RWS≤12%的病变相比,RWS>12%的病变TCFA患病率更高(22.0%对1.5%;p < 0.001),纤维帽厚度更薄(71μm对101μm;p < 0.001),脂质斑块负荷更大(23.3%对15.4%;p < 0.001),最大LCR更高(0.41对0.18;p < 0.001)。
在中度冠状动脉狭窄患者中,血管造影得出的RWS与斑块成分以及已知的OCT斑块易损特征显著相关。