• 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

评价适用于 TrueBeam 治疗交付系统的候选模板射束模型。

Evaluation of candidate template beam models for a matched TrueBeam treatment delivery system.

机构信息

Department of Human Oncology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.

出版信息

J Appl Clin Med Phys. 2021 Jun;22(6):92-103. doi: 10.1002/acm2.13278. Epub 2021 May 25.

DOI:10.1002/acm2.13278
PMID:34036726
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8200503/
Abstract

PURPOSE

To explore candidate RayStation beam models to serve as a class-specific template for a TrueBeam treatment delivery system.

METHODS

Established validation techniques were used to evaluate three photon beam models: a clinically optimized model from the authors' institution, the built-in RayStation template, and a hybrid consisting of the RayStation template except substituting average MLC parameter values from a recent IROC survey. Comparisons were made for output factors, dose profiles from open fields, as well as representative VMAT test plans.

RESULTS

For jaw-defined output factors, each beam model was within 1.6% of expected published values. Similarly, the majority (57-66%) of jaw-defined dose curves from each model had a gamma pass rate >95% (2% / 3 mm, 20% threshold) when compared to TrueBeam representative beam data. For dose curves from MPPG 5.a MLC-defined fields, average gamma pass rates (1% / 1 mm, 20% threshold) were 92.9%, 85.1%, and 86.0% for the clinical, template, and hybrid models, respectively. For VMAT test plans measured with a diode array detector, median dose differences were 0.6%, 1.3%, and 1.1% for the clinical, template, and hybrid models, respectively. For in-phantom ionization chamber measurements with the same VMAT test plans, the average percent difference was -0.3%, -1.4%, and -1.0% for the clinical, template, and hybrid models, respectively.

CONCLUSION

Beam model templates taken from the vendor and aggregate results within the community were both reasonable starting points, but neither approach was as optimal as a clinically tuned model, the latter producing better agreement with all validation measurements. Given these results, the clinically optimized model represents a better candidate as a consensus template. This can benefit the community by reducing commissioning time and improving dose calculation accuracy for matched TrueBeam treatment delivery systems.

摘要

目的

探索候选的 RayStation 射束模型,作为 TrueBeam 治疗递送系统的特定类别模板。

方法

使用既定的验证技术来评估三种光子束模型:来自作者所在机构的临床优化模型、内置的 RayStation 模板,以及由 RayStation 模板组成的混合模型,只是替代了来自最近 IROC 调查的平均 MLC 参数值。对输出因子、开放野的剂量分布,以及代表性的 VMAT 测试计划进行了比较。

结果

对于 jaw-defined 输出因子,每个束模型的结果都在预期发表值的 1.6%以内。同样,当与 TrueBeam 代表性束数据进行比较时,每个模型的大多数(57-66%)jaw-defined 剂量曲线的伽马通过率>95%(2%/3mm,20%阈值)。对于 MPPG 5.a MLC-defined 场的剂量曲线,临床、模板和混合模型的平均伽马通过率(1%/1mm,20%阈值)分别为 92.9%、85.1%和 86.0%。对于使用二极管阵列探测器测量的 VMAT 测试计划,临床、模板和混合模型的中位剂量差异分别为 0.6%、1.3%和 1.1%。对于相同的 VMAT 测试计划的体模电离室测量,临床、模板和混合模型的平均百分比差异分别为-0.3%、-1.4%和-1.0%。

结论

从供应商处获取的束模型模板和社区内的汇总结果都是合理的起点,但都不如临床优化的模型理想,后者与所有验证测量的一致性更好。鉴于这些结果,临床优化的模型代表了更好的共识模板候选。这可以通过减少委托时间和提高匹配 TrueBeam 治疗递送系统的剂量计算准确性来使社区受益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/566f/8200503/3129e04bde54/ACM2-22-92-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/566f/8200503/8bd172044a10/ACM2-22-92-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/566f/8200503/2d394fb3f080/ACM2-22-92-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/566f/8200503/6b1e200bd4d6/ACM2-22-92-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/566f/8200503/ad781515b983/ACM2-22-92-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/566f/8200503/1cd704f6ab9a/ACM2-22-92-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/566f/8200503/3129e04bde54/ACM2-22-92-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/566f/8200503/8bd172044a10/ACM2-22-92-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/566f/8200503/2d394fb3f080/ACM2-22-92-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/566f/8200503/6b1e200bd4d6/ACM2-22-92-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/566f/8200503/ad781515b983/ACM2-22-92-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/566f/8200503/1cd704f6ab9a/ACM2-22-92-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/566f/8200503/3129e04bde54/ACM2-22-92-g004.jpg

相似文献

1
Evaluation of candidate template beam models for a matched TrueBeam treatment delivery system.评价适用于 TrueBeam 治疗交付系统的候选模板射束模型。
J Appl Clin Med Phys. 2021 Jun;22(6):92-103. doi: 10.1002/acm2.13278. Epub 2021 May 25.
2
Sensitivity of IROC phantom performance to radiotherapy treatment planning system beam modeling parameters based on community-driven data.基于社区驱动数据的IROC体模性能对放射治疗计划系统射束建模参数的敏感性。
Med Phys. 2020 Oct;47(10):5250-5259. doi: 10.1002/mp.14396. Epub 2020 Aug 16.
3
Interinstitutional beam model portability study in a mixed vendor environment.机构间束模型在混合供应商环境中的可移植性研究。
J Appl Clin Med Phys. 2021 Dec;22(12):37-50. doi: 10.1002/acm2.13445. Epub 2021 Oct 13.
4
Validation of a Monte Carlo model for multi leaf collimator based electron delivery.基于多叶准直器的电子束传输蒙特卡罗模型的验证
Med Phys. 2020 Aug;47(8):3586-3599. doi: 10.1002/mp.14194. Epub 2020 May 19.
5
Impact of planned dose reporting methods on Gamma pass rates for IROC lung and liver motion phantoms treated with pencil beam scanning protons.计划剂量报告方法对笔形束扫描质子治疗的 IROC 肺和肝运动体模的 Gamma 通过率的影响。
Radiat Oncol. 2019 Jun 17;14(1):108. doi: 10.1186/s13014-019-1316-y.
6
Validation and IMRT/VMAT delivery quality of a preconfigured fast-rotating O-ring linac system.一种预配置的快速旋转 O 型环直线加速器系统的验证和调强放疗/容积旋转调强放疗的传输质量。
Med Phys. 2019 Jan;46(1):328-339. doi: 10.1002/mp.13282. Epub 2018 Dec 10.
7
Feasibility of a GATE Monte Carlo platform in a clinical pretreatment QA system for VMAT treatment plans using TrueBeam with an HD120 multileaf collimator.在使用配备 HD120 多叶准直器的 TrueBeam 的 VMAT 治疗计划的临床预处理 QA 系统中,GATE 蒙特卡罗平台的可行性。
J Appl Clin Med Phys. 2019 Oct;20(10):101-110. doi: 10.1002/acm2.12718. Epub 2019 Sep 23.
8
Monte Carlo modeling of HD120 multileaf collimator on Varian TrueBeam linear accelerator for verification of 6X and 6X FFF VMAT SABR treatment plans.瓦里安 TrueBeam 直线加速器上 HD120 多叶准直器的蒙特卡罗建模,用于验证 6X 和 6X FFF VMAT SABR 治疗计划。
J Appl Clin Med Phys. 2014 May 8;15(3):4686. doi: 10.1120/jacmp.v15i3.4686.
9
Rounded leaf end modeling in Pinnacle VMAT treatment planning for fixed jaw linacs.用于固定机架直线加速器的Pinnacle VMAT治疗计划中的圆形叶端建模
J Appl Clin Med Phys. 2016 Nov 8;17(6):149-162. doi: 10.1120/jacmp.v17i6.6343.
10
Impact of the MLC leaf-tip model in a commercial TPS: Dose calculation limitations and IROC-H phantom failures.MLC 叶尖模型对商业计划系统的影响:剂量计算限制和 IROC-H 体模失败。
J Appl Clin Med Phys. 2020 Feb;21(2):82-88. doi: 10.1002/acm2.12819. Epub 2020 Jan 21.

引用本文的文献

1
Portability of IMRT QA between matched linear accelerators.调强放疗 QA 结果在匹配直线加速器间的可转移性。
J Appl Clin Med Phys. 2024 Oct;25(10):e14492. doi: 10.1002/acm2.14492. Epub 2024 Sep 9.
2
IMRT QA result prediction via MLC transmission decomposition.通过叶片传输分解预测调强放疗 QA 结果。
J Appl Clin Med Phys. 2023 Aug;24(8):e13990. doi: 10.1002/acm2.13990. Epub 2023 Apr 8.
3
Golden beam data provided by linear accelerator manufacturers should be used in the commissioning of treatment planning systems.直线加速器制造商提供的黄金束数据应用于治疗计划系统的调试。

本文引用的文献

1
Evaluation of differences and dosimetric influences of beam models using golden and multi-institutional measured beam datasets in radiation treatment planning systems.在放射治疗计划系统中,使用黄金标准和多机构测量的射束数据集评估射束模型的差异和剂量学影响。
Med Phys. 2020 Nov;47(11):5852-5871. doi: 10.1002/mp.14493. Epub 2020 Oct 15.
2
A novel procedure for determining the optimal MLC configuration parameters in treatment planning systems based on measurements with a Farmer chamber.基于 Farmer chamber 测量的治疗计划系统中确定最佳多叶准直器配置参数的新方法。
Phys Med Biol. 2020 Jul 27;65(15):155006. doi: 10.1088/1361-6560/ab8cd5.
3
Phys Eng Sci Med. 2022 Jun;45(2):407-411. doi: 10.1007/s13246-022-01134-2.
4
Interinstitutional beam model portability study in a mixed vendor environment.机构间束模型在混合供应商环境中的可移植性研究。
J Appl Clin Med Phys. 2021 Dec;22(12):37-50. doi: 10.1002/acm2.13445. Epub 2021 Oct 13.
Impact of the MLC leaf-tip model in a commercial TPS: Dose calculation limitations and IROC-H phantom failures.
MLC 叶尖模型对商业计划系统的影响:剂量计算限制和 IROC-H 体模失败。
J Appl Clin Med Phys. 2020 Feb;21(2):82-88. doi: 10.1002/acm2.12819. Epub 2020 Jan 21.
4
Reference dataset of users' photon beam modeling parameters for the Eclipse, Pinnacle, and RayStation treatment planning systems.Eclipse、Pinnacle 和 RayStation 治疗计划系统用户光子束建模参数的参考数据集。
Med Phys. 2020 Jan;47(1):282-288. doi: 10.1002/mp.13892. Epub 2019 Nov 15.
5
Application of the TRS 483 code of practice for reference and relative dosimetry in tomotherapy.TRS 483 实践准则在调强治疗中的应用及相关剂量学。
Med Phys. 2019 Dec;46(12):5799-5806. doi: 10.1002/mp.13855. Epub 2019 Oct 29.
6
Tolerance limits and methodologies for IMRT measurement-based verification QA: Recommendations of AAPM Task Group No. 218.调强放射治疗(IMRT)测量验证 QA 的容忍限度和方法:AAPM 工作组第 218 号报告的建议。
Med Phys. 2018 Apr;45(4):e53-e83. doi: 10.1002/mp.12810. Epub 2018 Mar 23.
7
Implementation of the validation testing in MPPG 5.a "Commissioning and QA of treatment planning dose calculations-megavoltage photon and electron beams".在MPPG 5.a“治疗计划剂量计算的调试与质量保证——兆伏级光子和电子束”中实施验证测试。
J Appl Clin Med Phys. 2017 Jan;18(1):115-127. doi: 10.1002/acm2.12015. Epub 2016 Dec 5.
8
Examining credentialing criteria and poor performance indicators for IROC Houston's anthropomorphic head and neck phantom.审查休斯顿放射肿瘤学影像引导中心(IROC)人体头部和颈部体模的认证标准及不良性能指标。
Med Phys. 2016 Dec;43(12):6491. doi: 10.1118/1.4967344.
9
Are simple IMRT beams more robust against MLC error? Exploring the impact of MLC errors on planar quality assurance and plan quality for different complexity beams.简单调强放射治疗射束是否更能抵抗多叶准直器误差?探究不同复杂度射束的多叶准直器误差对平面质量保证和计划质量的影响。
J Appl Clin Med Phys. 2016 May 8;17(3):147-157. doi: 10.1120/jacmp.v17i3.6022.
10
Modeling of couch transmission in the RayStation treatment planning system.在 RayStation 治疗计划系统中对治疗床传输的建模。
Phys Med. 2016 May;32(5):735-40. doi: 10.1016/j.ejmp.2016.04.012. Epub 2016 Apr 29.