Liu Jian, Wang Zhao, Wang Wei-min, Li Qi, Ma Yu-liang, Liu Chuan-fen, Lu Ming-yu, Zhao Hong
Department of Cardiology, Peking University People's Hospital, Beijing 100044, China.
J Zhejiang Univ Sci B. 2015 Nov;16(11):924-30. doi: 10.1631/jzus.B1500206.
To compare the plaque composition between stable and unstable plaques, characterize unstable plaque by using iMap-intravascular ultrasound (IVUS), and quantify the diagnostic criteria for unstable plaque.
Thirty-three acute coronary syndrome (ACS) patients who had undergone coronary angiography and IVUS from February 19, 2014 to December 19, 2014 at Peking University People's Hospital were enrolled in the study. Baseline data were collected. The patients were divided into two groups according to their gray-scale IVUS imaging, stable plaque and unstable plaque. A difference-in-difference evaluation was performed using the baseline data and off-line iMap imaging results between the two groups. A receiver operating characteristic (ROC) curve was constructed to obtain the optimal cut-off value to diagnose unstable plaque.
Percentages of fibrotic and necrotic tissues, absolute values of lipidic, necrotic, and calcified tissues, and plaque burden were independent predictors for unstable plaque. Absolute necrotic area was the best predictor and exhibited the highest diagnostic value for plaque vulnerability (area under the curve (AUC)=0.806, P=0.000, 95% CI (0.718, 0.894)). The cut-off score for predicting unstable plaque was 4.0 mm(2).
This study attempted to propose a cut-off value based on absolute necrotic area using iMap-IVUS to predict plaque vulnerability in patients with ACS. This score might provide a valuable reference for diagnosing unstable plaque.
比较稳定斑块与不稳定斑块的斑块成分,利用iMap血管内超声(IVUS)对不稳定斑块进行特征分析,并量化不稳定斑块的诊断标准。
选取2014年2月19日至2014年12月19日在北京大学人民医院接受冠状动脉造影和IVUS检查的33例急性冠状动脉综合征(ACS)患者纳入研究。收集基线数据。根据灰阶IVUS成像将患者分为两组,即稳定斑块组和不稳定斑块组。对两组的基线数据和离线iMap成像结果进行差分评估。绘制受试者操作特征(ROC)曲线以获得诊断不稳定斑块的最佳截断值。
纤维化和坏死组织百分比、脂质、坏死和钙化组织的绝对值以及斑块负荷是不稳定斑块的独立预测因素。绝对坏死面积是最佳预测因素,对斑块易损性具有最高诊断价值(曲线下面积(AUC)=0.806,P = 0.000,95%可信区间(0.718,0.894))。预测不稳定斑块的截断分数为4.0平方毫米。
本研究试图利用iMap-IVUS基于绝对坏死面积提出一个截断值,以预测ACS患者的斑块易损性。该分数可能为诊断不稳定斑块提供有价值的参考。