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多形性胶质母细胞瘤预后因素分析
引用本文:黄冠又,季楠,王亮,谢琳,李达,宁亚莉,吴震,张力伟,张俊廷.多形性胶质母细胞瘤预后因素分析[J].中国微侵袭神经外科杂志,2013,18(8):341-344.
作者姓名:黄冠又  季楠  王亮  谢琳  李达  宁亚莉  吴震  张力伟  张俊廷
作者单位:1. 550081,贵阳市第二人民医院神经外科
2. 100050,首都医科大学附属北京天坛医院神经外科中心
3. 广东同江医院神经外科,佛山,528300
基金项目:卫生行业科研专项基金(编号:200902004); 首都医学发展科研基金(编号:2009-1040)
摘    要:目的 探讨多形性胶质母细胞瘤(GBM)预后相关的临床因素.方法 回顾性分析160例随访资料完整的GBM,采用Kaplan-Meier法计算生存率及进行单因素分析,Log-rank法进行生存率显著性检验,Cox比例风险回归模型作多因素分析.结果 本组病人术后1年、2年、5年生存率分别是65.3%、34.1%、9.1%.单因素分析显示年龄、肿瘤切除程度、治疗方式是影响GBM生存率的因素.多因素分析显示年龄、肿瘤部位、肿瘤切除程度及治疗方式是与GBM预后相关的独立因素.结论 年龄、肿瘤部位、肿瘤切除程度和治疗方式是影响GBM预后的主要因素,积极的手术治疗和规范化、个体化的综合治疗可有效提高GBM病人的生存率.

关 键 词:胶质母细胞瘤  多形性  生存率  预后因素

The analysis of prognostic factors for glioblastoma multiforme
Huang Guanyou,Ji Nan,Wang Liang,Xie Lin,Li Da,Ning Yali,Wu Zhen,Zhang Liwei,Zhang Junting.The analysis of prognostic factors for glioblastoma multiforme[J].Chinese Journal of Minimally Invasive Neurosurgery,2013,18(8):341-344.
Authors:Huang Guanyou  Ji Nan  Wang Liang  Xie Lin  Li Da  Ning Yali  Wu Zhen  Zhang Liwei  Zhang Junting
Institution:1.Department of Neurosurgery,Second People's Hospital of Guiyang,Guiyang,Guizhou 550081,China;2.Department of Neurosurgery, Beijing Tiantan Hospital of Capital Medical University,Beijing 100050,China;3.Department of Neurosurgery,Guangdong Tongjiang Hospital,Foshan,Guangdong 528300,China
Abstract:Objective To investigate the clinical factors influencing prognosis of glioblastoma multiforme(GBM).Methods The clinical data of 160 GBM patients were analyzed retrospectively.Kaplan-Meier method was used to calculate the survival rates and analyze the univariate factors for the survival rates.The univariate analysis was used to determine the prognostic factors related with survival rate by Log-rank test.Multivariate factors for the survival rates were analyzed by the Cox proportional hazards regression model. Results The overall 1-,2-,and 5-year survival rates were 65.3%,34.1% and 9.1% respectively.Univariate analysis revealed that age, tumor resection extent and treatment modality were the factors influencing survival rate of GBM.Cox multivariate analysis showed that age,tumor location,tumor resection extent and treatment modality were prognosis-related independent factors.Conclusions Age, tumor location,tumor resection extent and treatment modality are main factors influencing prognosis of GBM.The combination of aggressive surgical treatment and standardized and individualized treatment can effectively improve the survival rate of GBM patients.
Keywords:glioblastoma  multiforme  survival rate  prognostic factors
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