A validation study of a dedicated software for an automated in vivo dosimetry control in radiotherapy

核医学 成像体模
作者
Angelo Piermattei,Francesca Greco,Mattia Grusio,S. Menna,Luigi Azario,G. Stimato,E. Placidi,S. Teodoli,Savino Cilla,A. Porcelli,L. Alberico,Andrea Fidanzio
出处
期刊:Medical & Biological Engineering & Computing [Springer Science+Business Media]
卷期号:56 (10): 1939-1947 被引量:9
标识
DOI:10.1007/s11517-018-1822-3
摘要

In vivo dosimetry (IVD) is the last step of a radiotherapy quality control program aimed to ensure that the dose delivered is in agreement with that prescribed. IVD procedures based on single detectors are time-consuming and impossible to use for the modern radiotherapy techniques, based on static or kinetic beams (modulated in intensity fluence); this means that more efficient and practical methods are highly recommended. The practical method SOFTDISO, based on the use of electronic portal image device (EPID), provides two tests (i) the R ratio between the reconstructed and the planned isocenter doses to verify an agreement within 5% and (ii) the γ-analysis of the EPID images, to verify γ% ≥ 90% and γmean ≤ 0.4. This paper reports the results of 11,357 IVD tests carried out for 823 patients treated by three-dimensional conformal radiation therapy and volumetric modulated arc therapy techniques. In particular, the dose disagreements are reported distinguishing two kinds of causes, those of (i) class 1 that includes the errors due to inadequate quality controls and (ii) the class 2, due to patient morphological changes. About the tests out of tolerance, 6% were by VMAT and 21% by 3DCRT, but taking into account the only class 1 of errors, i.e., removing the causes of class 2, only 7% of patients examined presented at least one of the three mean indexes out of tolerance. The workload for IVD on 9 patients/day per linac is about 52 min/day but recently, a new automated SOFTDISO version has been implemented to reduce the time to about 34 min/day.

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
月落十三发布了新的文献求助10
刚刚
3秒前
3秒前
3秒前
丽丽完成签到,获得积分10
4秒前
从容尔柳完成签到,获得积分20
5秒前
璐璐发布了新的文献求助10
7秒前
情怀应助123567采纳,获得10
7秒前
TL111发布了新的文献求助10
7秒前
7秒前
科目三应助灵巧的天思采纳,获得10
7秒前
踏雾完成签到 ,获得积分10
7秒前
夜夜发布了新的文献求助10
8秒前
penguo完成签到,获得积分10
8秒前
8秒前
8秒前
无语的傥发布了新的文献求助10
8秒前
9秒前
友桃完成签到,获得积分10
9秒前
安静的ky完成签到,获得积分10
10秒前
houyidan完成签到,获得积分10
10秒前
11秒前
penguo发布了新的文献求助10
12秒前
ming发布了新的文献求助10
12秒前
木质素发布了新的文献求助10
12秒前
英姑应助闲之野鹤采纳,获得10
12秒前
xh完成签到,获得积分10
13秒前
弓长广发发布了新的文献求助10
13秒前
王丽婕完成签到,获得积分10
13秒前
14秒前
ava0048发布了新的文献求助10
14秒前
14秒前
Wang完成签到,获得积分10
15秒前
平淡的热狗完成签到,获得积分10
16秒前
chcmuer发布了新的文献求助10
16秒前
王丽婕发布了新的文献求助10
19秒前
21秒前
所所应助熊有鹏采纳,获得10
21秒前
22秒前
英勇雅琴完成签到 ,获得积分10
23秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
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 6492768
求助须知:如何正确求助?哪些是违规求助? 8290294
关于积分的说明 17690743
捐赠科研通 5584744
什么是DOI,文献DOI怎么找? 2915445
邀请新用户注册赠送积分活动 1892541
关于科研通互助平台的介绍 1750782