论文部分内容阅读
应用免疫组织化学方法和图象分析技术,对21例星形细胞瘤中微血管、P53蛋白和增殖细胞核抗原(PCNA)进行图像定量分析和病理研究。结果显示:微血管面积、直径、形状因子、CD31相对含量;P53蛋白和PCNA阳性表达分布面积、相对含量变化均与星形细胞瘤恶性程度及分级呈正比;星形细胞瘤内微血管与P53蛋白和PCNA在不同恶性程度和分级中的变化呈平行关系。微血管、P53蛋白和PCNA各参数组间比较均有显著和极显著差别(P<0.05, P<0.01)。微血管数量、面积、直径、形状因子、CD31相对含量,P53蛋白和PCNA分布面积及其相对含量均可较客观评价星形细胞瘤恶性程度。图像定量分析系统的综合分析为星形细胞瘤诊断分级、良恶性鉴别、预后的判断及指导临床治疗提供了有用的参数。
Immunohistochemistry and image analysis techniques were used to perform image quantitative analysis and pathological studies of microvessels, P53 protein and proliferating cell nuclear antigen (PCNA) in 21 cases of astrocytomas. The results showed that the microvessel area, the diameter, the shape factor and the relative content of CD31, the distribution area and the relative content of P53 protein and PCNA positive rate were in direct proportion to the malignant degree and grade of astrocytomas. PCNA in different degrees of malignancy and grading changes in a parallel relationship. Microvessels, P53 protein and PCNA parameters between the groups were significant and very significant difference (P <0.05, P <0.01). Microvessel number, area, diameter, shape factor, relative content of CD31, P53 protein and PCNA distribution of the area and its relative content of objective evaluation of astrocytoma malignancy. Comprehensive analysis of image quantitative analysis system for the diagnosis and grading of astrocytomas, benign and malignant identification, prognosis and clinical guidance to provide a useful parameter.