核仁组成区图像分析参数选择及其应用价值

目的 :探讨AgNOR图像分析部分参数的应用价值。方法 :与模拟光镜计数法相对照 ,分析了经× 40、× 10 0 (物镜 )测得的 5 0例 (良、恶性病变各 2 5例 )AgNOR图像分析的部分参数。 结果 :AgNOR图像分析的多项测定参数在良、恶性病变中差异均有显著性 (P <0 0 0 1) ,尤其是AgNOR总面积 /核及其标准差、AgNOR直径标准差、AgNOR异形指数标准差 ,分别代表了AgNOR面积、大小和形态改变 ,单独应用它们用以区分良、恶性病变均有较少的重叠现象。 结论 :采用PC作模拟光镜计数和图像分析各具优缺点 ;图像分析为AgNOR定量研究提供了更好的条件 ,具有多参数分析的优点。建议AgNOR面积等上述四项参数能作为常规图像分析的首选指标

Selection and significance of the parameters used for AgNOR measurement by image analysis

Purpose To study the selection and significance of the parameters used for AgNOR measurement by image quantitative analysis technique. Methods In comparison with analog light microscopic group, some parameters of AgNOR measured with HPIAS 1000 real color image analysis system were analyzed in 50 cases of benign and malignant tumors. Results Between benign and malignant lesions there were the significant differences( P <0 001) in a variety of the parameters of AgNOR, particularly the AgNOR granule area and mean its and standard deriation(SD), diameter SD, special shaped index SD, which standed for AgNOR granule area, size and shape respectively. If using any one of them alone, there were less intervening grey area of overlap, in order to distinguish benign from malignant lesions. Conclusions There are advantage and disadvantage in both methods of computer assisted light microcopic quantitation and image analysis, and the latter provides a better quantitative measurement for AgNOR with analytic functions for multiple parameters. The four parameters mentioned above are preferentially recommended for AgNOR measurement.