A multivariate analysis of the prognostic factors of grade III gliomas.
A multivariate analysis of the prognostic factors of grade III gliomas.
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DOI：
10.1097/00029330-200806020-00005
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发表时间：
2008-06
影响因子：
6.1
通讯作者：
Yong-jian Zhu;Xiang-dong Zhu;Shenglei Wang;Fang Shen;Hong Shen;Wei-guo Liu
中科院分区：
文献类型：
--
作者：
Yong-jian Zhu;Xiang-dong Zhu;Shenglei Wang;Fang Shen;Hong Shen;Wei-guo Liu
BACKGROUND Glioma is the most common type of malignant brain tumor and the prognosis of glioma is still poor. Moreover, the prognosis of patients diagnosed with grade III gliomas varies significantly. In this study, we assessed the factors that contribute to the prognosis of patients with grade III gliomas. METHODS Data from 97 patients with grade III glioma who received surgery from 2000 to 2005 were included in this study. Kaplan-Meier survival analysis and Cox regression analysis were used to analyze the prognostic effects of 16 different factors selected from clinical characteristics, results from neuroimaging and pathological examinations, as well as different treatment schemes. RESULTS The results indicated that age, preoperative Karnofsky Performance Scale score, extent of tumor invasion, tumor resection degree, residual tumor shown by postoperative magnetic resonance imaging (MRI), and postoperative radiotherapy and chemotherapy all correlated with patient prognosis. Furthermore, Cox multivariate analysis also showed the age (P < 0.01), extent of tumor invasion (P < 0.01), residual tumor shown by postoperative MRI (P < 0.05), and postoperative radiotherapy (P < 0.05) significantly correlated with patients' prognosis. CONCLUSIONS Age, postoperative radiotherapy and residual tumor indicated by MRI after surgery correlated significantly with the prognosis of patients with grade III glioma. The extent of tumor invasion may be an independent prognostic factor for patients with grade III glioma.
