Adaptive proton therapy

质子疗法 医学物理学 质子 医学 计算机科学 物理 核物理学
作者
Harald Paganetti,Pablo Botas,G Sharp,Brian Winey
出处
期刊:Physics in Medicine and Biology [IOP Publishing]
卷期号:66 (22): 22TR01-22TR01 被引量:88
标识
DOI:10.1088/1361-6560/ac344f
摘要

Abstract Radiation therapy treatments are typically planned based on a single image set, assuming that the patient’s anatomy and its position relative to the delivery system remains constant during the course of treatment. Similarly, the prescription dose assumes constant biological dose-response over the treatment course. However, variations can and do occur on multiple time scales. For treatment sites with significant intra-fractional motion, geometric changes happen over seconds or minutes, while biological considerations change over days or weeks. At an intermediate timescale, geometric changes occur between daily treatment fractions. Adaptive radiation therapy is applied to consider changes in patient anatomy during the course of fractionated treatment delivery. While traditionally adaptation has been done off-line with replanning based on new CT images, online treatment adaptation based on on-board imaging has gained momentum in recent years due to advanced imaging techniques combined with treatment delivery systems. Adaptation is particularly important in proton therapy where small changes in patient anatomy can lead to significant dose perturbations due to the dose conformality and finite range of proton beams. This review summarizes the current state-of-the-art of on-line adaptive proton therapy and identifies areas requiring further research.

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
tg2024发布了新的文献求助30
刚刚
lingzhi完成签到 ,获得积分10
2秒前
4秒前
DRX完成签到,获得积分10
5秒前
7秒前
nostalgic完成签到,获得积分10
8秒前
9秒前
lulu完成签到,获得积分10
10秒前
科研通AI6.4应助张棋欢采纳,获得30
11秒前
双持裤衩武器战应助紫熊采纳,获得30
11秒前
y13333完成签到,获得积分10
11秒前
Hello应助xixi采纳,获得10
12秒前
13秒前
哭泣的砖头关注了科研通微信公众号
14秒前
15秒前
张泽宇发布了新的文献求助10
15秒前
15秒前
15秒前
16秒前
汤圆发布了新的文献求助10
17秒前
lulu发布了新的文献求助10
17秒前
Hmy关注了科研通微信公众号
17秒前
卷卷卷儿完成签到 ,获得积分10
18秒前
仁爱问芙发布了新的文献求助10
19秒前
lfydhk发布了新的文献求助10
19秒前
19秒前
19秒前
科研通AI6.3应助盲点采纳,获得10
19秒前
20秒前
pk完成签到,获得积分10
20秒前
Mason发布了新的文献求助10
21秒前
烂漫念蕾完成签到,获得积分10
21秒前
YC发布了新的文献求助10
22秒前
科研通AI6.3应助溪泉采纳,获得10
23秒前
人生如梦完成签到,获得积分10
24秒前
所所应助科研通管家采纳,获得30
25秒前
25秒前
科研通AI6.4应助sen采纳,获得10
25秒前
25秒前
半吊子发布了新的文献求助10
25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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
How to Design and Conduct an Experiment and Write a Lab Report: Your Complete Guide to the Scientific Method (Step-by-Step Study Skills) 333
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6363390
求助须知:如何正确求助?哪些是违规求助? 8177282
关于积分的说明 17232356
捐赠科研通 5418457
什么是DOI,文献DOI怎么找? 2867061
邀请新用户注册赠送积分活动 1844285
关于科研通互助平台的介绍 1691850