Kofler K, Reichl E R, Zischka-Konorsa W
Virchows Arch A Pathol Anat Histol. 1975 Nov 28;368(4):347-59. doi: 10.1007/BF00432311.
In a group of 102 selected cases of renal cell carcinoma which at various periods after nephrectomy terminated fatally, age, sex, and 23 gross and/or histologic tumor characteristics were examined, subclassified, and evaluated. An attempt was made to correlate these parameters statistically to postoperative survival time. A newly developed and programmed statistical method, i.c. "dichotomic variance analysis", proved to be superior to both multiple regression and cluster analysis. Using infiltrative-destructive tumor growth, polymorphy, and chromatin density of tumor cell nuclei, extension of renal vein invasion, age and sex, as the only 6 required out of 25 distinguished tumor parameters, this statistical multivariate method comprised 7 distinctive groups of different mean geometrical postoperative survival time, obviously corresponding to 7 tumor types of increasing degree of malignancy. By step-wise dichotomic splitting of tumor groups it therefore was possible to delinate schematically some of the complex connections between the criteria or variables of prognostic significance. Conceivable sources of errors possibly influencing reproducibility and practical applicability of the presented dichotomic variance analysis in evaluating prognostic criteria in renal cell carcinoma are discussed.
在一组102例肾细胞癌患者中，这些患者在肾切除术后不同时期均不幸死亡，研究人员对其年龄、性别以及23种大体和/或组织学肿瘤特征进行了检查、分类和评估。研究人员试图将这些参数与术后生存时间进行统计学关联。一种新开发并编程的统计方法，即“二分方差分析”，被证明优于多元回归分析和聚类分析。使用浸润性-破坏性肿瘤生长、多形性、肿瘤细胞核染色质密度、肾静脉侵犯范围、年龄和性别，作为25个显著肿瘤参数中仅需的6个参数，这种统计多变量方法包含7个不同平均几何术后生存时间的独特组，明显对应于7种恶性程度递增的肿瘤类型。因此，通过逐步对肿瘤组进行二分划分，有可能示意性地勾勒出一些具有预后意义的标准或变量之间的复杂联系。讨论了在评估肾细胞癌预后标准时，可能影响所提出的二分方差分析的可重复性和实际适用性的潜在误差来源。
