Zhang Guangwei, Chen Ying, BilalWaqar Ahmed, Han Lijuan, Jia Ming, Xu Cangbao, Yu Qi
Anal Quant Cytopathol Histpathol. 2015 Apr;37(2):115-22.
Coronary atherosclerosis is widely recognized as a major cause of sudden cardiac death, acute myocardial infarction, and unstable angina pectoris. However, the techniques for quantitative analysis of coronary atherosclerosis have not been standardized and there is still a need for reduction in inaccuracies.
This study reports a series of practical techniques to quantitatively analyze microscopic lesions of coronary atherosclerosis in myocardial infarction-prone Watanabe heritable hyperlipidemic rabbits. First, we applied the stenosis to evaluate the severity of coronary atherosclerosis, which was based on a comprehensive analysis of 7 blocks in each rabbit heart. Then, by splitting the RGB image to monochrome image and the setting Gray Threshold, cellular components were quantified by maximal separation from background tissue; all of these works were based on ImageJ software.
Blocks I, II, and V had the most severe coronary atherosclerosis, and the numbers of macrophages and smooth muscle cells in atherosclerotic lesions were accurately calculated as well.
We introduced a quantitative analysis to study microscopic lesions of the coronary atherosclerosis, which. may be widely applied in various animal models.
冠状动脉粥样硬化被广泛认为是心源性猝死、急性心肌梗死和不稳定型心绞痛的主要原因。然而，冠状动脉粥样硬化的定量分析技术尚未标准化，仍需要减少误差。
本研究报告了一系列实用技术，用于定量分析易患心肌梗死的渡边遗传性高脂血症兔冠状动脉粥样硬化的微观病变。首先，我们应用狭窄程度来评估冠状动脉粥样硬化的严重程度，这是基于对每只兔心脏7个节段的综合分析。然后，通过将RGB图像分割为单色图像并设置灰度阈值，通过与背景组织的最大分离来量化细胞成分；所有这些工作均基于ImageJ软件。
第I、II和V节段冠状动脉粥样硬化最严重，同时还准确计算了动脉粥样硬化病变中巨噬细胞和平滑肌细胞的数量。
我们引入了一种定量分析方法来研究冠状动脉粥样硬化的微观病变，该方法可能会在各种动物模型中得到广泛应用。
