Takahashi Kentaro, Kakuta Tsunekazu, Yonetsu Taishi, Lee Tetsumin, Koura Kenji, Hishikari Keiichi, Murai Tadashi, Iesaka Yoshito, Isobe Mitsuaki
Department of Cardiology, Tsuchiura Kyodo General Hospital, 11-7, Manabeshin-machi, Tsuchiura, Ibaraki, 300-0053, Japan.
Cardiovasc Interv Ther. 2013 Oct;28(4):333-43. doi: 10.1007/s12928-013-0177-9. Epub 2013 May 7.
iMAP™ has recently been introduced as a new tissue characterization method using the 40-MHz intravascular ultrasound (IVUS). However, few data have been published on the comparative findings of other imaging modalities in vivo. We examined 108 matched lesions from 70 patients (35 with stable angina and 35 with acute coronary syndrome) that underwent percutaneous coronary intervention (PCI) using pre-PCI OCT and IVUS. Identification of OCT-derived lipid-rich plaques and thin-cap fibroatheroma (TCFA) was performed using iMAP™. OCT-derived lipid-rich plaques and TCFAs were detected in 56 (51.8 %) and 20 (18.6 %) lesions, respectively. The iMAP™ analysis identified significantly greater percentage of necrotic area (%NA) in the lesions with lipid-rich plaques than in those without [46.5 (29.4-56.9) vs. 24.6 (10.3-41.6) %, p < 0.01]. In the receiver operating characteristic (ROC) analysis, the optimal %NA cut-off value for identifying lipid-rich plaques was 33 % (AUC: 0.75; sensitivity: 73.2 %; specificity: 67.3 %). A greater plaque burden and a larger necrotic area were detected using iMAP™ in the OCT-derived TCFAs than in the non-TCFAs [81.5 (77.3-86.8) vs. 72.7 (60.6-81.0) %, p < 0.01; 7.6 (4.3-9.6) mm(2) vs. 2.7 (1.0-6.0) mm(2), p < 0.01]. For the iMAP™-derived TCFAs, combinations of variables such as necrotic area, % plaque burden, and absolute plaque area showed a relatively low positive predictive value and high negative predictive value (plaque burden >75 % and confluent luminal necrotic area >4.0 mm(2); sensitivity: 75.0 %; specificity: 71.6 %; PPV: 37.5 %; NPV: 92.6 %; and diagnostic accuracy: 72.2 %). The results showed that iMAP™ tissue characterization may help to detect lipid-rich plaque and rule out TCFAs in vivo.
iMAP™最近作为一种使用40兆赫血管内超声(IVUS)的新组织表征方法被引入。然而,关于其他成像模式在体内的比较结果,发表的数据很少。我们检查了70例患者(35例稳定型心绞痛患者和35例急性冠状动脉综合征患者)经皮冠状动脉介入治疗(PCI)前使用光学相干断层扫描(OCT)和IVUS的108个匹配病变。使用iMAP™对OCT衍生的富含脂质斑块和薄帽纤维粥样瘤(TCFA)进行识别。分别在56个(51.8%)和20个(18.6%)病变中检测到OCT衍生的富含脂质斑块和TCFA。iMAP™分析显示,富含脂质斑块的病变中坏死面积百分比(%NA)显著高于无此类斑块的病变[46.5(29.4 - 56.9)%对24.6(10.3 - 41.6)%,p < 0.01]。在受试者工作特征(ROC)分析中,识别富含脂质斑块的最佳%NA截断值为33%(曲线下面积:0.75;敏感性:73.2%;特异性:67.3%)。使用iMAP™在OCT衍生的TCFA中检测到的斑块负荷和坏死面积比非TCFA更大[81.5(77.3 - 86.8)%对72.7(60.6 - 81.0)%,p < 0.01;7.6(4.3 - 9.6)mm²对2.7(1.0 - 6.0)mm²,p < 0.01]。对于iMAP™衍生的TCFA,坏死面积、%斑块负荷和绝对斑块面积等变量的组合显示出相对较低的阳性预测值和较高的阴性预测值(斑块负荷>75%且融合管腔坏死面积>4.0 mm²;敏感性:75.0%;特异性:71.6%;阳性预测值:37.5%;阴性预测值:92.6%;诊断准确性:72.2%)。结果表明,iMAP™组织表征可能有助于在体内检测富含脂质的斑块并排除TCFA。