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脑胶质瘤切除程度及病理分级对生存率的影响
引用本文:庄之剑,戴学军,漆松涛,李丹峰.脑胶质瘤切除程度及病理分级对生存率的影响[J].海南医学院学报,2004,10(1):23-26.
作者姓名:庄之剑  戴学军  漆松涛  李丹峰
作者单位:1. 海南省农垦三亚医院神经外科,三亚,572000
2. 第一军医大学南方医院神经外科,广州,510515
摘    要:目的:探讨脑胶质瘤显微手术切除程度及肿瘤病理性质对患者长期生存的影响。方法:回顾69例实施显微手术治疗的脑胶质瘤患者临床资料,根据肿瘤切除程度、病理级别及随访结果分析患者的长期生存情况。结果:69例患者肿瘤全切除56例,次全切除10例,部分切除3例。术后随访1~5年,1年内死亡者4例,1~3年死亡15例,3~5年死亡21例熏存活5年以上者29例。其中肿瘤全切组1,3,5年生存率分别为89.3%,76.8%,50.0%;未全切组1,3,5年生存率分别为76.9%,53.8%,7.7%。按不同病理分级,低分级组(Ⅰ~Ⅱ级)的1,3,5年生存率分别为100.0%,87.7%,58.2%;高分级组(Ⅲ~Ⅳ级)1、3、5年生存率分别为80.0%,35.0%,2.5%。结论:肿瘤切除程度及病理性质是影响脑胶质瘤患者生存率的重要因素。

关 键 词:脑肿瘤  病理学  外科  显微外科手术  存活率分析
文章编号:1007-1237(2004)01-0023-03
修稿时间:2003年11月3日

EFFECTS OF EXTENT OF RESECTION AND HISTOLOGICAL GRADE TO SURVIVAL RATE IN BRAIN GLIOMAS
ZHUANG Zhi-jian,DAI Xue-jun,QI Song-tao,et al..EFFECTS OF EXTENT OF RESECTION AND HISTOLOGICAL GRADE TO SURVIVAL RATE IN BRAIN GLIOMAS[J].Journal of Hainan Medical College,2004,10(1):23-26.
Authors:ZHUANG Zhi-jian  DAI Xue-jun  QI Song-tao  
Abstract:Objective :To investigate the effects of resection extent under microsurgery and pathologic grade of tumor on long-term survival of the patients with brain gliomas.Method :Clinical data of69cases of operated patients with brain gliomas under microsurgery were analyzed retrospectively.The long-term survival data were got according to the resection extent,pathologic grade and follow-up survey.Res ults :Total,subtotal and part tumor resections were56,10and3cases respectively.The survival rates of1year,3years and5years were89.3% ,76.8%and50.0%respectively in total removal cases鸦those were76.9% ,53.8%and7.7%in non-total removal cases.According to pathologic grade of the tumor,the survival rates of1year,3years and5years were100.0%,87.7%and50.0%in grade Ⅰ ~ Ⅱ glioma鸦and80.0% ,35.0%and2.5%in Ⅲ ~ Ⅳ glioma respectively. Conclus ion :The results suggest that resection extent of the tumor and its histological characteristics are important prognostic factors for the survival rate of the patients with brain gliomas.
Keywords:Brain tumor  Pathology    Surgery  Microsurgery  Survival rate analysis
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