晚期乳腺癌癌细胞器形态参数的逐步回归分析  

Stepwise Regression Analysis of Morphologicai Parameters of Cell-Apparatus of Breast Carcinoma Cells in the Late Stage

作　　者：李维波[1] 陈平[1] 刘美玉[1] 钱纬[2] 刘爱武[2] 张文莉[3] 

机构地区：[1]昆明医学院物理教研室,昆明650031 [2]昆明医学院电子显微镜室,昆明650031 [3]云南省肿瘤医院,昆明650106

出　　处：《昆明医学院学报》2001年第1期56-58,共3页Journal of Kunming Medical College

基　　金：云南省教委应用基础研究基金!资助项目 (95 12 0 0 2 )

摘　　要：用细胞形态计量学方法统计 10例病理诊断为女性晚期乳腺单纯癌癌细胞粗面内质网、核糖体的 12个超微结构形态参数 ,并用逐步回归法进行分析得最优回归方程Y =0 2 2 2 +0 5 0 3N6- 0 0 13N7.结果 :筛选出区分正常细胞器及癌细胞器的最佳参数是游离核糖体的面密度N6和粗面内质网的比表面N7 结果表明N6。Cell morphometry method was applied in courting and analyzing 12 ultrastruc-ture morphological parameters of the rough endoplasmic reticulum and ribosome from 10 female patients of the simple breast carcinoma in the late stage by pathological diagnosis. The best equation was set up with stepwise regression analysis was as follows: y=0 22+0 503N 6-013N 7 . Due to above equation, selecting the best parameters were the surface density of free ribosome N 6 and specific surface of rough endoplasmic reticulum N 7. They could be used to distinguish the normal cell-apparatus from carcinoma cell-apparatus. These results show that N 6 and N 7 in varying degrees could provide fixed quantity basis for the prognosis of breast carcinoma.

关 键 词：细胞形态计量学 细胞超微结构 粗面内质网 核糖体 逐步回归分析 乳腺癌 

分 类 号：R737.9[医药卫生—肿瘤]