Londero H F, Laguens R, Telayna J M, González P, de la Serna F, Wisner J N, Mendiz O A
Departamento de Hemodinamia, Instituto de Cardiología y Cirugía Cardiovascular (ICYCC), Fundación Favaloro, Buenos Aires, Argentina.
Int J Card Imaging. 1997 Apr;13(2):125-32; discussion 133-5. doi: 10.1023/a:1005745228757.
To establish if the videodensitometric analysis (VDA) of the intracoronary ultrasound images (IVUS) can predict the qualitative and quantitative composition of the atherosclerotic coronary plaques, thirty-one patients who had undergone anatomopathological study of directional coronary atherectomy (DCA) samples and pre- and post-intervention IVUS image were analyzed. The video IVUS images were digitized in a 512 x 512 matrix and analyzed for densitometric differences with an Automatic Image Analysis System (AIAS) (Vidas 2000, Zeiss Kontron). The components of the plaque were arbitrarily divided into three densitometric categories using a 256 gray scale: high density (HD) 121-255, medium (MD) 81-120 and low (LD) 30-80. The relative percentage of each component was automatically recorded. The DCA samples were microscopically examined and put into the AIAS. The components were divided into: collagenous tissue (CT); lipid-necrotic debris (LND); proliferative tissue (PT). The area of each component was expressed as a percentage of the total. Linear correlation analysis was applied. Comparison between the IVUS and the histological composition of the plaque showed that: HD corresponded to CT; MD to PT; LD to LND. The correlation between the percentage distribution of the densitometric categories and the anatomopathological components showed a correlation coefficient r = 0.91 between HD and CT; r = 0.87 between MD and PT; r = 0.88 between LD and LND. The VDA of the IVUS can distinguish three basic components of the atherosclerotic plaque: fibrous, lipid-necrotic and proliferative tissue, allowing absolute and relative quantitative analysis. This capability may be of interest for device selection and histopathological correlation.
为确定冠状动脉内超声图像（IVUS）的视频密度测定分析（VDA）能否预测动脉粥样硬化冠状动脉斑块的定性和定量组成，对31例接受了定向冠状动脉斑块旋切术（DCA）样本的解剖病理学研究以及介入前后IVUS图像的患者进行了分析。将IVUS视频图像数字化为512×512矩阵，并使用自动图像分析系统（AIAS）（Vidas 2000，蔡司康卓）分析密度差异。使用256级灰度将斑块成分任意分为三个密度类别：高密度（HD）121 - 255、中等密度（MD）81 - 120和低密度（LD）30 - 80。自动记录每个成分的相对百分比。对DCA样本进行显微镜检查并放入AIAS中。将成分分为：胶原组织（CT）；脂质 - 坏死碎片（LND）；增殖组织（PT）。每个成分的面积以占总面积的百分比表示。应用线性相关分析。IVUS与斑块组织学组成之间的比较表明：HD对应于CT；MD对应于PT；LD对应于LND。密度类别百分比分布与解剖病理学成分之间的相关性显示，HD与CT之间的相关系数r = 0.91；MD与PT之间的相关系数r = 0.87；LD与LND之间的相关系数r = 0.88。IVUS的VDA可以区分动脉粥样硬化斑块的三个基本成分：纤维组织、脂质 - 坏死组织和增殖组织，从而进行绝对和相对定量分析。这种能力对于器械选择和组织病理学相关性可能具有重要意义。
