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
1秒前
英吉利25发布了新的文献求助10
1秒前
3秒前
北冥天宇关注了科研通微信公众号
3秒前
3秒前
呼呼呼发布了新的文献求助10
4秒前
4秒前
和谐一万完成签到,获得积分10
4秒前
诗琪完成签到,获得积分20
5秒前
5秒前
hchnb1234完成签到,获得积分10
6秒前
wanci应助一科研土豆采纳,获得10
6秒前
Gary完成签到,获得积分10
6秒前
慕青应助小卢采纳,获得10
8秒前
8秒前
小马甲应助映海采纳,获得10
8秒前
跨材料完成签到,获得积分10
9秒前
慕青应助LZH采纳,获得10
10秒前
Pursue。发布了新的文献求助10
10秒前
欣慰飞烟完成签到,获得积分10
11秒前
科目三应助珠珠采纳,获得10
11秒前
xinxinxin91发布了新的文献求助10
12秒前
白英发布了新的文献求助10
12秒前
沉默笑蓝关注了科研通微信公众号
13秒前
13秒前
凌冰完成签到,获得积分10
13秒前
14秒前
DIAPTERA发布了新的文献求助10
14秒前
Pursue。完成签到,获得积分10
15秒前
15秒前
15秒前
16秒前
hohn发布了新的文献求助10
16秒前
17秒前
17秒前
17秒前
搜集达人应助土豆采纳,获得10
17秒前
落水者发布了新的文献求助10
18秒前
19秒前
lrb发布了新的文献求助30
19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
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
17α-Methyltestosterone Immersion Induces Sex Reversal in Female Mandarin Fish (Siniperca Chuatsi) 500
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 6365036
求助须知:如何正确求助?哪些是违规求助? 8179063
关于积分的说明 17239850
捐赠科研通 5420164
什么是DOI,文献DOI怎么找? 2867869
邀请新用户注册赠送积分活动 1844933
关于科研通互助平台的介绍 1692430