肿瘤研究与临床
腫瘤研究與臨床
종류연구여림상
CANCER RESEARCH AND CLINIC
2011年
2期
114-116,121
,共4页
脑肿瘤%神经胶质瘤%放射疗法,适形
腦腫瘤%神經膠質瘤%放射療法,適形
뇌종류%신경효질류%방사요법,괄형
Brain neoplasms%Glioma%Radiotherapy,conformal
目的 评价脑胶质瘤术后患者三维适形放疗(3DCRT)的预后因素.方法 对62例脑胶质瘤术后残留患者行3DCRT,回顾性分析性别、年龄、肿瘤部位、病理类型、病理分级、手术切除程度、联 合化疗、放疗剂量、治疗前Karnofsky评分等因素对预后的影响,用Kaplan-Meier法绘制生存曲线,Log-rank检验法进行单因素分析,COX回归模型进行多因素分析.结果 末次随访时间为2009年4月1日,中位随访时间22个月,死亡43例.1、2、3年生存率分别为65.7%、34.2%、20.5%.单因素分析结果显示:年龄(P=0.008)、病理分级(P=0.016)、手术切除程度(P=0.000)、治疗前Karnofsky评分(P=0.018)为重要预后因素.COX多因素分析结果显示:年龄(P=0.031)、手术切除程度(P=0.000)、治疗前Karnofsky评分(P=0.035)为独立预后因素.结论 年龄＜40岁、治疗前Karnofsky评分≥70分和肿瘤大部分切除是脑胶质瘤术后3DCRT患者预后较好的独立因素.
目的 評價腦膠質瘤術後患者三維適形放療(3DCRT)的預後因素.方法 對62例腦膠質瘤術後殘留患者行3DCRT,迴顧性分析性彆、年齡、腫瘤部位、病理類型、病理分級、手術切除程度、聯 閤化療、放療劑量、治療前Karnofsky評分等因素對預後的影響,用Kaplan-Meier法繪製生存麯線,Log-rank檢驗法進行單因素分析,COX迴歸模型進行多因素分析.結果 末次隨訪時間為2009年4月1日,中位隨訪時間22箇月,死亡43例.1、2、3年生存率分彆為65.7%、34.2%、20.5%.單因素分析結果顯示:年齡(P=0.008)、病理分級(P=0.016)、手術切除程度(P=0.000)、治療前Karnofsky評分(P=0.018)為重要預後因素.COX多因素分析結果顯示:年齡(P=0.031)、手術切除程度(P=0.000)、治療前Karnofsky評分(P=0.035)為獨立預後因素.結論 年齡＜40歲、治療前Karnofsky評分≥70分和腫瘤大部分切除是腦膠質瘤術後3DCRT患者預後較好的獨立因素.
목적 평개뇌효질류술후환자삼유괄형방료(3DCRT)적예후인소.방법 대62례뇌효질류술후잔류환자행3DCRT,회고성분석성별、년령、종류부위、병리류형、병리분급、수술절제정도、련 합화료、방료제량、치료전Karnofsky평분등인소대예후적영향,용Kaplan-Meier법회제생존곡선,Log-rank검험법진행단인소분석,COX회귀모형진행다인소분석.결과 말차수방시간위2009년4월1일,중위수방시간22개월,사망43례.1、2、3년생존솔분별위65.7%、34.2%、20.5%.단인소분석결과현시:년령(P=0.008)、병리분급(P=0.016)、수술절제정도(P=0.000)、치료전Karnofsky평분(P=0.018)위중요예후인소.COX다인소분석결과현시:년령(P=0.031)、수술절제정도(P=0.000)、치료전Karnofsky평분(P=0.035)위독립예후인소.결론 년령＜40세、치료전Karnofsky평분≥70분화종류대부분절제시뇌효질류술후3DCRT환자예후교호적독립인소.
Objective To evaluate prognostic factors of patients with cerebral postoperative glioma treated with three-dimensional conformal radiotherapy (3DCRT). Methods 62 patients with cerebral glioma who had residual tumor received 3DCRT. Factors such as gender, age, location of the glioma, pathological type, pathological grade, degree of surgical resection, combined chemotherapy, radiation dose, Karnofsky score before treatment were analyzed to show wether the impact on prognosis, Drawing survival curve with the Kaplan-Meier method, Log-rank test for univariate analysis and multivariate analysis were performed by using COX regression model.Results Last follow-up time was April 1, 2009. Median follow-up was 22 months, 43patients died. The 1-, 2- and 3-year overall survival rate were 65.7 %, 34.2 % and 20.5 %. In univariate analysis, the survival was related to age (P=0.008), pathological grade (P=0.016), degree of surgical resection (P=0.000), Karnofsky score before treatment (P =0.018). In COX multivariate modal, age (P =0.031), degree of surgical resection (P =0.000), Kamofsky score before treatment (P =0.035) were independent prognostic factors. Conclusion Age ＜40 years, Karnofsky score before treatment ≥70 and mostly resection are independent factors for predicting better survival of glioma patients.
