Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Circ J. 2011;75(2):366-75. doi: 10.1253/circj.cj-09-0940. Epub 2010 Nov 5.
The purpose of the present study was to investigate whether multidetector computed tomography (MDCT) can identify the nature of chronic total occlusion (CTO) plaque, which cannot be measured quantitatively using traditional coronary angiography, and predict the success of percutaneous coronary intervention (PCI).
MDCT and 3-dimensional volumetric radiologic density analysis was performed for 186 consecutive CTO lesions. Plaque characteristics were determined using Hounsfield units (HU) of the image voxels. The remodeling index decreased significantly as the duration of CTO lengthened. Volumetric plaque analysis using HU showed that volumetric fraction of calcification (>324HU) did not, but low-density plaque (<49HU) did decrease significantly as the duration of CTO lengthened. The overall PCI success rate was 77.4% (144/186). In addition to the unknown or >12-month occlusion duration (odds ratio [OR]=3.0, 95% confidence interval [CI]=1.4-6.5, P=0.005), 2 MDCT parameters, that is, lesion length >18mm (OR=2.7, 95%CI=1.1-6.4, P=0.024) and segmental radiologic density >139HU (OR=2.7, 95%CI=1.2-6.4, P=0.021), were independent predictors of PCI failure on multivariate analysis.
MDCT might be helpful for the prediction of successful CTO PCI. In addition to the occlusion duration, lesion length and high segmental radiologic density measured on MDCT were significant predictors of PCI failure in the present study.
本研究旨在探讨多层螺旋 CT(MDCT)是否能识别不能通过传统冠状动脉造影进行定量测量的慢性完全闭塞(CTO)斑块的性质,并预测经皮冠状动脉介入治疗(PCI)的成功。
对 186 例连续 CTO 病变进行 MDCT 和三维容积放射密度分析。利用图像体素的 Hounsfield 单位(HU)确定斑块特征。随着 CTO 持续时间的延长,重塑指数显著降低。使用 HU 的容积斑块分析显示,钙化容积分数(>324HU)没有,但低密度斑块(<49HU)随着 CTO 持续时间的延长而显著减少。整体 PCI 成功率为 77.4%(144/186)。除了未知或>12 个月的闭塞持续时间(比值比[OR]=3.0,95%置信区间[CI]=1.4-6.5,P=0.005)外,2 个 MDCT 参数,即病变长度>18mm(OR=2.7,95%CI=1.1-6.4,P=0.024)和节段放射密度>139HU(OR=2.7,95%CI=1.2-6.4,P=0.021),是多变量分析中 PCI 失败的独立预测因子。
MDCT 可能有助于预测 CTO PCI 的成功。除了闭塞持续时间外,本研究中 MDCT 测量的病变长度和高节段放射密度也是 PCI 失败的显著预测因子。