Statistical modelling in analysis of prognosis in glioblastoma multiforme: a study of clinical variables and Ki-67 index.
Statistical modelling in analysis of prognosis in glioblastoma multiforme: a study of clinical variables and Ki-67 index.
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多形性胶质母细胞瘤预后分析的统计模型：临床变量和 Ki-67 指数的研究。
DOI：
10.3109/02688699108998448
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发表时间：
1991
影响因子：
1.1
通讯作者：
J. Palmer
中科院分区：
文献类型：
--
作者：
T. J. D. Pigott;James Lowe;J. Palmer
在一项针对 77 例多形性胶质母细胞瘤的研究中，使用统计模型分析了临床特征和 Ki-67 增殖指数。相对年轻、额叶肿瘤部位和外照射治疗对生存具有重要的积极影响。术前卡诺夫斯基评分和坏死的存在与结果无关。尽管有一个有吸引力的假设，即与缓慢增殖的病变相比，快速增殖的肿瘤可能与更差的预后相关，但本研究中的 Ki-67 指数没有提供预后信息，即使单独考虑各个部位也是如此。讨论了这种形式的计算机建模的使用及其在预后数据分析中的作用。
Statistical modelling was used to analyse clinical features and the Ki-67 proliferation index in a study of 77 cases of glioblastoma multiforme. Relative youth, frontal tumour site and treatment with external beam radiation had an important positive influence on survival. The pre-operative Karnovsky score and the presence of necrosis were not related to outcome. Despite the attractive hypothesis that rapidly proliferating tumours might be associated with a worse prognosis compared with slowly proliferating lesions, the Ki-67 index in this study offered no prognostic information even when individual sites were considered separately. The use of this form of computer modelling and its role in analysis of prognostic data is discussed.