• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

定量评估与小电子场相关的剂量不确定性。

Quantitative evaluation of dosimetric uncertainties associated with small electron fields.

机构信息

Department of Radiation Oncology, University of Oklahoma Health Sciences Center, 800 N.E. 10th Street, OKCC L100, Oklahoma City, OK 73104, United States.

Department of Radiation Oncology, Lancaster General Hospital, 2102 Harrisburg Pike, Lancaster, PA 17601, United States.

出版信息

J Med Imaging Radiat Sci. 2022 Jun;53(2):273-282. doi: 10.1016/j.jmir.2022.02.007. Epub 2022 Mar 15.

DOI:10.1016/j.jmir.2022.02.007
PMID:35304080
Abstract

INTRODUCTION

Although many studies have investigated small electron fields, there are several dosimetric issues that are not well understood. This includes lack of charged particle equilibrium, lateral scatter, source occlusion and volume averaging of the detectors used in the measurement of the commissioning data. High energy electron beams are also associated with bremsstrahlung production that contributes to dose deposition, which is not well investigated, particularly for small electron fields. The goal of this work has been to investigate dosimetric uncertainties associated with small electron fields using dose measurements with different detectors as well as calculations with eMC dose calculation algorithm.

METHODS

Different dosimetric parameters including output factors, depth dose curves and dose profiles from small electron field cutouts were investigated quantitatively. These dosimetric parameters were measured using different detectors that included small ion chambers and diodes for small electron cutouts with diameters ranging from 15-50mm mounted on a 6 × 6cm cone with beam energies from 6-20MeV.

RESULTS

Large deviations existed between the output factors calculated with the eMC algorithm and measured with small detectors for small electron fields up to 55% for 6MeV. The discrepancy between the calculated and measured doses increased 10%-55% with decreasing electron beam energy from 20 MeV to 6 MeV for 15mm circular field. For electron fields with cutouts 20mm and larger, the measured and calculated doses agreed within 5% for all electron energies from 6-20MeV. For small electron fields, the maximal depth dose shifted upstream and becomes more superficial as the electron beam energy increases from 6-20MeV as measured with small detectors.

DISCUSSION

Large dose discrepancies were found between the measured and calculated doses for small electron fields where the eMC underestimated output factors by 55% for small circular electron fields with a diameter of 15 mm, particularly for low energy electron beams. The measured entrance doses and d of the depth dose curves did not agree with the corresponding values calculated by eMC. Furthermore, the measured dose profiles showed enhanced dose deposition in the umbra region and outside the small fields, which mostly resulted from dose deposition from the bremsstrahlung produced by high energy electrons that was not accounted for by the eMC algorithm due to inaccurate modeling of the lateral dose deposition from bremsstrahlung.

CONCLUSION

Electron small field dosimetry require more consideration of variations in beam quality, lack of charged particle equilibrium, lateral scatter loss and dose deposition from bremsstrahlung produced by energetic electron beams in a comprehensive approach similar to photon small field dosimetry. Furthermore, most of the commercially available electron dose calculation algorithms are commissioned with large electron fields; therefore, vendors should provide tools for the modeling of electron dose calculation algorithms for small electron fields.

摘要

简介

尽管许多研究都调查了小电子场,但仍有几个剂量学问题尚未得到很好的理解。这包括缺少带电粒子平衡、侧向散射、源遮挡以及用于测量调试数据的探测器的体积平均。高能电子束还与韧致辐射的产生有关,韧致辐射会导致剂量沉积,这一点尚未得到很好的研究,尤其是对于小电子场。这项工作的目的是使用不同的探测器进行剂量测量以及使用 eMC 剂量计算算法进行计算,来研究与小电子场相关的剂量学不确定性。

方法

使用不同的探测器对小电子场的不同剂量学参数进行了定量研究,包括输出因子、深度剂量曲线和小电子场切出的剂量分布。这些剂量学参数使用不同的探测器进行测量,探测器包括小离子室和二极管,用于直径为 15-50mm 的小电子切出,这些切出安装在 6×6cm 的圆锥体上,电子束能量范围为 6-20MeV。

结果

对于小电子场,与使用小探测器测量的输出因子相比,eMC 算法计算的输出因子存在较大偏差,对于 6MeV 电子束最大偏差高达 55%。对于 15mm 圆形场,随着电子束能量从 20MeV 降低到 6MeV,计算剂量与测量剂量之间的差异增加了 10%-55%。对于 20mm 及更大的电子场,所有电子能量(6-20MeV)的测量和计算剂量均在 5%以内。对于小电子场,随着电子束能量从 6-20MeV 增加,小探测器测量的最大深度剂量向源端迁移,变得更浅。

讨论

对于小电子场,测量剂量与计算剂量之间存在较大差异,eMC 算法低估了小圆形电子场(直径为 15mm)的输出因子,最大偏差高达 55%,特别是对于低能电子束。测量的入口剂量和深度剂量曲线的 d 值与 eMC 计算的相应值不一致。此外,测量的剂量分布显示在小场的阴影区域和外部区域有增强的剂量沉积,这主要是由于高能电子产生的韧致辐射的剂量沉积所致,由于 eMC 算法对韧致辐射的侧向剂量沉积的建模不准确,因此无法对其进行计算。

结论

与光子小场剂量学类似,电子小场剂量学需要更全面地考虑束质变化、缺少带电粒子平衡、侧向散射损失以及高能电子产生的韧致辐射的剂量沉积。此外,大多数商业可用的电子剂量计算算法都是使用大电子场进行标定的;因此,供应商应提供用于小电子场电子剂量计算算法建模的工具。

相似文献

1
Quantitative evaluation of dosimetric uncertainties associated with small electron fields.定量评估与小电子场相关的剂量不确定性。
J Med Imaging Radiat Sci. 2022 Jun;53(2):273-282. doi: 10.1016/j.jmir.2022.02.007. Epub 2022 Mar 15.
2
Quantitative evaluation of dosimetric uncertainties in electron therapy by measurement and calculation using the electron Monte Carlo dose algorithm in the Eclipse treatment planning system.采用 Eclipse 治疗计划系统中的电子蒙特卡罗剂量算法进行测量和计算,对电子治疗中的剂量不确定性进行定量评估。
J Appl Clin Med Phys. 2022 Jan;23(1):e13478. doi: 10.1002/acm2.13478. Epub 2021 Nov 25.
3
Evaluation of an electron Monte Carlo dose calculation algorithm for electron beam.电子束电子蒙特卡罗剂量计算算法的评估
J Appl Clin Med Phys. 2008 Jun 23;9(3):1-15. doi: 10.1120/jacmp.v9i3.2720.
4
Commissioning stereotactic radiosurgery beams using both experimental and theoretical methods.使用实验和理论方法调试立体定向放射治疗束。
Phys Med Biol. 2006 May 21;51(10):2549-66. doi: 10.1088/0031-9155/51/10/013. Epub 2006 May 4.
5
Monte Carlo dose calculation improvements for low energy electron beams using eMC.利用 eMC 提高低能电子束的蒙特卡罗剂量计算精度。
Phys Med Biol. 2010 Aug 21;55(16):4577-88. doi: 10.1088/0031-9155/55/16/S11. Epub 2010 Jul 29.
6
Dosimetry of small circular fields for 6-MeV electron beams.6兆电子伏电子束小圆形射野的剂量学
Med Dosim. 2009 Spring;34(1):51-6. doi: 10.1016/j.meddos.2007.12.003. Epub 2008 Apr 1.
7
Evaluation of an electron Monte Carlo dose calculation algorithm for treatment planning.用于治疗计划的电子蒙特卡罗剂量计算算法的评估。
J Appl Clin Med Phys. 2015 May 8;16(3):4636. doi: 10.1120/jacmp.v16i3.4636.
8
An evaluation of solid state detectors for the relative dosimetry of kilovoltage X-ray beams.用于千伏级 X 射线束相对剂量测量的固体探测器评估。
Med Phys. 2022 Jun;49(6):4082-4091. doi: 10.1002/mp.15543. Epub 2022 Mar 1.
9
Monte Carlo dosimetry study of a 6 MV stereotactic radiosurgery unit.6兆伏立体定向放射外科设备的蒙特卡洛剂量学研究
Phys Med Biol. 1998 Oct;43(10):2755-68. doi: 10.1088/0031-9155/43/10/006.
10
Application of the electron pencil beam redefinition algorithm to electron arc therapy.电子笔形束重新定义算法在电子弧治疗中的应用。
Med Phys. 2006 Jul;33(7):2369-83. doi: 10.1118/1.2207215.

引用本文的文献

1
Comparative analysis of eMC algorithm dose calculations using GATE validation: impact of tissue heterogeneity on electron beam dosimetry.使用GATE验证对eMC算法剂量计算进行比较分析:组织异质性对电子束剂量测定的影响。
Phys Eng Sci Med. 2025 Sep 18. doi: 10.1007/s13246-025-01641-y.
2
Dosimetric Comparison of Coplanar, Non-coplanar, and Mixed-Arc VMAT for Head and Face Skin Cancers: A Multi-scenario Analysis.头面部皮肤癌共面、非共面和混合弧VMAT的剂量学比较:多场景分析
Cancer Diagn Progn. 2025 May 3;5(3):300-312. doi: 10.21873/cdp.10442. eCollection 2025 May-Jun.