A New Scoring System to Predicting the Survival of Patients Treated with Whole-Brain Radiotherapy for Brain Metastases

脑转移 放射外科 脑瘤 肿瘤科 内科学 核医学 生存分析
作者
Dirk Rades,Juergen Dunst,Steven E. Schild
出处
期刊:Strahlentherapie Und Onkologie [Springer Science+Business Media]
卷期号:184 (5): 251-255 被引量:112
标识
DOI:10.1007/s00066-008-1831-5
摘要

To create a scoring system to estimate survival of patients who received whole-brain radiotherapy (WBRT) for brain metastases. Based on a multivariate analysis of 1,085 retrospectively analyzed patients, a scoring system was developed. This score was based on the four significant prognostic factors found in the multivariate analysis including: age, performance status, extracranial metastases at the time of WBRT, and interval between tumor diagnosis and WBRT. The score for each prognostic factor was determined by dividing the 6-month survival rate (in %) by 10. The total score represented the sum of the partial scores for each prognostic factor. Total scores ranged from 9 to 18 points, and patients were divided into four groups. For each group, survival was compared for short-course (5 × 4 Gy) versus longer-course WBRT (10 × 3 Gy/20 × 2 Gy). Actuarial 6-month survival rates were 6% for patients with scores of 9–10 points, 15% for those with scores of 11–13 points, 43% for those with scores of 14–16 points, and 76% for those with scores of 17–18 points (p < 0.001). Longer-course WBRT was not associated with better survival than short-course WBRT in any of the four groups. : Patients with brain metastases receiving WBRT can be grouped with this score to estimate survival. Short-course and longer-course WBRT resulted in similar survival in all groups studied. However, in the more favorable patients with scores of 17–18, longer-course WBRT with lower doses per fraction should be considered, as these schedules have been associated with less neurocognitive toxicity.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
英俊的铭应助雪山飞鹰采纳,获得10
刚刚
幽默的季节完成签到 ,获得积分10
1秒前
cjy发布了新的文献求助10
2秒前
3秒前
qingde发布了新的文献求助10
3秒前
不敢装睡完成签到,获得积分10
3秒前
科研圣体完成签到 ,获得积分10
4秒前
4秒前
酷酷的谷秋完成签到,获得积分20
4秒前
orixero应助超级曼安采纳,获得10
4秒前
研友_VZG7GZ应助mianmian0118采纳,获得10
5秒前
6秒前
6秒前
hzy6688发布了新的文献求助10
8秒前
蔡继海发布了新的文献求助10
9秒前
9秒前
10秒前
科研通AI6.4应助石木尧采纳,获得30
11秒前
FashionBoy应助qingde采纳,获得10
13秒前
13秒前
14秒前
称心的莆发布了新的文献求助10
15秒前
15秒前
Jacob1201完成签到,获得积分10
16秒前
16秒前
17秒前
17秒前
19秒前
宁融发布了新的文献求助10
21秒前
光亮青柏发布了新的文献求助10
22秒前
有人就有恩怨完成签到,获得积分10
22秒前
顺其自然_666888完成签到,获得积分10
22秒前
orixero应助朱望舒采纳,获得10
23秒前
24秒前
24秒前
小静发布了新的文献求助30
25秒前
小二郎应助aaa采纳,获得10
27秒前
柒月完成签到 ,获得积分10
27秒前
A12345678完成签到,获得积分10
28秒前
星辰大海应助waerteyang采纳,获得10
28秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7588779
求助须知:如何正确求助?哪些是违规求助? 9166887
关于积分的说明 19620365
捐赠科研通 7168655
什么是DOI,文献DOI怎么找? 3267087
关于科研通互助平台的介绍 2432018
邀请新用户注册赠送积分活动 2259146