• 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

MLC CyberKnife 治疗的 Monte-Carlo 剂量计算基准测试。

Benchmarking Monte-Carlo dose calculation for MLC CyberKnife treatments.

机构信息

Division of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of Bern, Bern, Switzerland.

Accuray Incorporated, Sunnyvale, CA, USA.

出版信息

Radiat Oncol. 2019 Sep 18;14(1):172. doi: 10.1186/s13014-019-1370-5.

DOI:10.1186/s13014-019-1370-5
PMID:31533746
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6751815/
Abstract

BACKGROUND

Vendor-independent Monte Carlo (MC) dose calculation (IDC) for patient-specific quality assurance of multi-leaf collimator (MLC) based CyberKnife treatments is used to benchmark and validate the commercial MC dose calculation engine for MLC based treatments built into the CyberKnife treatment planning system (Precision MC).

METHODS

The benchmark included dose profiles in water in 15 mm depth and depth dose curves of rectangular MLC shaped fields ranging from 7.6 mm × 7.7 mm to 115.0 mm  × 100.1 mm, which were compared between IDC, Precision MC and measurements in terms of dose difference and distance to agreement. Dose distributions of three phantom cases and seven clinical lung cases were calculated using both IDC and Precision MC. The lung PTVs ranged from 14 cm to 93 cm. Quantitative comparison of these dose distributions was performed using dose-volume parameters and 3D gamma analysis with 2% global dose difference and 1 mm distance criteria and a global 10% dose threshold. Time to calculate dose distributions was recorded and efficiency was assessed.

RESULTS

Absolute dose profiles in 15 mm depth in water showed agreement between Precision MC and IDC within 3.1% or 1 mm. Depth dose curves agreed within 2.3% / 1 mm. For the phantom and clinical lung cases, mean PTV doses differed from - 1.0 to + 2.3% between IDC and Precision MC and gamma passing rates were > =98.1% for all multiple beam treatment plans. For the lung cases, lung V20 agreed within ±1.5%. Calculation times ranged from 2.2 min (for 39 cm PTV at 1.0 × 1.0 × 2.5 mm native CT resolution) to 8.1 min (93 cm at 1.1 × 1.1 × 1.0 mm), at 2% uncertainty for Precision MC for the 7 examined lung cases and 4-6 h for IDC, which, however, is not optimized for efficiency but used as a gold standard for accuracy.

CONCLUSIONS

Both accuracy and efficiency of Precision MC in the context of MLC based planning for the CyberKnife M6 system were benchmarked against MC based IDC framework. Precision MC is used in clinical practice at our institute.

摘要

背景

用于多叶准直器(MLC)基于 CyberKnife 治疗的患者特定质量保证的独立于供应商的蒙特卡罗(MC)剂量计算(IDC),用于基准测试和验证内置在 CyberKnife 治疗计划系统(Precision MC)中的用于 MLC 基于治疗的商业 MC 剂量计算引擎。

方法

基准测试包括在 15mm 深度的水中的剂量分布曲线和从 7.6mm×7.7mm 到 115.0mm×100.1mm 的矩形 MLC 形状场的深度剂量曲线,这些曲线在 IDC、Precision MC 和测量之间进行了比较,比较内容包括剂量差异和符合程度。使用 IDC 和 Precision MC 为三个体模病例和七个临床肺病例计算了剂量分布。肺 PTV 的范围从 14cm 到 93cm。使用剂量体积参数和 2%全局剂量差异和 1mm 距离标准以及全局 10%剂量阈值的 3D 伽马分析对这些剂量分布进行了定量比较。记录了计算剂量分布的时间,并评估了效率。

结果

在水中的 15mm 深度处的绝对剂量分布曲线在 Precision MC 和 IDC 之间的一致性在 3.1%或 1mm 以内。深度剂量曲线的一致性在 2.3%/1mm 以内。对于体模和临床肺病例,ID 和 Precision MC 之间的 PTV 平均剂量差异为-1.0%至+2.3%,所有多束治疗计划的伽马通过率均大于等于 98.1%。对于肺病例,肺 V20 的一致性在±1.5%以内。计算时间范围从 2.2 分钟(对于 39cm PTV,在 1.0×1.0×2.5mm 原始 CT 分辨率下)到 8.1 分钟(对于 93cm,在 1.1×1.1×1.0mm 下),对于 Precision MC,对于 7 个检查的肺病例,在 2%的不确定性下,对于 IDC,需要 4-6 小时,但是,这不是为了效率而优化的,而是用作准确性的金标准。

结论

在 CyberKnife M6 系统的 MLC 规划背景下,对 Precision MC 的准确性和效率进行了基准测试,该系统与基于 MC 的 IDC 框架进行了对比。Precision MC 已在我们研究所的临床实践中使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9d2/6751815/ec57eedd04cd/13014_2019_1370_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9d2/6751815/ca809118f80b/13014_2019_1370_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9d2/6751815/9b172cb3267f/13014_2019_1370_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9d2/6751815/2ec2196f5ce2/13014_2019_1370_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9d2/6751815/b3ee584e8262/13014_2019_1370_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9d2/6751815/7e59643ee25a/13014_2019_1370_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9d2/6751815/ec57eedd04cd/13014_2019_1370_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9d2/6751815/ca809118f80b/13014_2019_1370_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9d2/6751815/9b172cb3267f/13014_2019_1370_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9d2/6751815/2ec2196f5ce2/13014_2019_1370_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9d2/6751815/b3ee584e8262/13014_2019_1370_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9d2/6751815/7e59643ee25a/13014_2019_1370_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9d2/6751815/ec57eedd04cd/13014_2019_1370_Fig6_HTML.jpg

相似文献

1
Benchmarking Monte-Carlo dose calculation for MLC CyberKnife treatments.MLC CyberKnife 治疗的 Monte-Carlo 剂量计算基准测试。
Radiat Oncol. 2019 Sep 18;14(1):172. doi: 10.1186/s13014-019-1370-5.
2
Independent Monte-Carlo dose calculation for MLC based CyberKnife radiotherapy.基于多叶准直器的 CyberKnife 放射治疗的独立蒙特卡罗剂量计算。
Phys Med Biol. 2017 Dec 19;63(1):015015. doi: 10.1088/1361-6560/aa97f8.
3
Evaluation of newly implemented dose calculation algorithms for multileaf collimator-based CyberKnife tumor-tracking radiotherapy.多叶准直器基于 CyberKnife 肿瘤跟踪放射治疗中新实施的剂量计算算法的评估。
Med Phys. 2020 Mar;47(3):1391-1403. doi: 10.1002/mp.14013. Epub 2020 Jan 28.
4
Clinical application of a GPU-accelerated monte carlo dose verification for cyberknife M6 with Iris collimator.GPU 加速的蒙特卡罗剂量验证在带 Iris 准直器的 Cyberknife M6 中的临床应用。
Radiat Oncol. 2024 Jul 2;19(1):86. doi: 10.1186/s13014-024-02446-1.
5
A novel Monte Carlo (MC) dose model for small MLC fields of the cyberknife M6 radiosurgery system using the EGSnrc.一种新型的基于 EGSnrc 的 Cyberknife M6 立体定向放射外科系统小多叶准直器的蒙特卡罗(MC)剂量模型。
J Appl Clin Med Phys. 2023 Apr;24(4):e13880. doi: 10.1002/acm2.13880. Epub 2023 Jan 18.
6
Assessment of Monte Carlo algorithm for compliance with RTOG 0915 dosimetric criteria in peripheral lung cancer patients treated with stereotactic body radiotherapy.评估蒙特卡罗算法在接受立体定向体部放射治疗的周围型肺癌患者中符合 RTOG 0915 剂量学标准的应用。
J Appl Clin Med Phys. 2016 May 8;17(3):277-293. doi: 10.1120/jacmp.v17i3.6077.
7
Phantomless patient-specific TomoTherapy QA via delivery performance monitoring and a secondary Monte Carlo dose calculation.通过传输性能监测和二次蒙特卡洛剂量计算实现无模体患者特异性螺旋断层放疗质量保证。
Med Phys. 2014 Oct;41(10):101703. doi: 10.1118/1.4894721.
8
A fast GPU-accelerated Monte Carlo engine for calculation of MLC-collimated electron fields.一种快速 GPU 加速的蒙特卡罗引擎,用于计算 MLC 准直电子场。
Med Phys. 2023 Jan;50(1):600-618. doi: 10.1002/mp.15938. Epub 2022 Aug 31.
9
Commissioning and clinical implementation of the first commercial independent Monte Carlo 3D dose calculation to replace CyberKnife M6™ patient-specific QA measurements.首个商用独立蒙特卡罗 3D 剂量计算的委托和临床实施,以替代 CyberKnife M6™ 患者专用 QA 测量。
J Appl Clin Med Phys. 2020 Nov;21(11):304-311. doi: 10.1002/acm2.13046. Epub 2020 Oct 25.
10
MLC parameters from static fields to VMAT plans: an evaluation in a RT-dedicated MC environment (PRIMO).从静态场到 VMAT 计划的 MLC 参数:在专用 RT 的 MC 环境(PRIMO)中的评估。
Radiat Oncol. 2019 Dec 2;14(1):216. doi: 10.1186/s13014-019-1421-y.

引用本文的文献

1
AAPM task group report 135.B: Quality assurance for robotic radiosurgery.美国医学物理学家协会任务组报告135.B:机器人放射外科手术的质量保证
Med Phys. 2025 Jan;52(1):45-76. doi: 10.1002/mp.17478. Epub 2024 Oct 25.
2
Clinical application of a GPU-accelerated monte carlo dose verification for cyberknife M6 with Iris collimator.GPU 加速的蒙特卡罗剂量验证在带 Iris 准直器的 Cyberknife M6 中的临床应用。
Radiat Oncol. 2024 Jul 2;19(1):86. doi: 10.1186/s13014-024-02446-1.
3
Development of a LINAC head model for the CyberKnife VSI-System using EGSnrc Monte Carlo system.

本文引用的文献

1
Novel Monte Carlo dose calculation algorithm for robotic radiosurgery with multi leaf collimator: Dosimetric evaluation.新型带多叶准直器的机器人放射外科蒙特卡罗剂量计算算法:剂量学评估。
Phys Med. 2018 Nov;55:25-32. doi: 10.1016/j.ejmp.2018.10.011. Epub 2018 Oct 20.
2
Dose calculation of dynamic trajectory radiotherapy using Monte Carlo.使用蒙特卡罗方法进行动态轨迹放射治疗的剂量计算。
Z Med Phys. 2019 Feb;29(1):31-38. doi: 10.1016/j.zemedi.2018.03.002. Epub 2018 Apr 6.
3
Film-based dose validation of Monte Carlo algorithm for Cyberknife system with a CIRS thorax phantom.
利用 EGSnrc 蒙特卡罗系统开发适用于 CyberKnife VSI 系统的医用直线加速器头部模型。
J Appl Clin Med Phys. 2023 Dec;24(12):e14137. doi: 10.1002/acm2.14137. Epub 2023 Sep 15.
4
A novel Monte Carlo (MC) dose model for small MLC fields of the cyberknife M6 radiosurgery system using the EGSnrc.一种新型的基于 EGSnrc 的 Cyberknife M6 立体定向放射外科系统小多叶准直器的蒙特卡罗(MC)剂量模型。
J Appl Clin Med Phys. 2023 Apr;24(4):e13880. doi: 10.1002/acm2.13880. Epub 2023 Jan 18.
5
Validation of Monte Carlo dose calculation algorithm for CyberKnife multileaf collimator.验证 CyberKnife 多叶准直器的蒙特卡罗剂量计算算法。
J Appl Clin Med Phys. 2022 Feb;23(2):e13481. doi: 10.1002/acm2.13481. Epub 2021 Dec 1.
6
Commissioning and clinical implementation of the first commercial independent Monte Carlo 3D dose calculation to replace CyberKnife M6™ patient-specific QA measurements.首个商用独立蒙特卡罗 3D 剂量计算的委托和临床实施,以替代 CyberKnife M6™ 患者专用 QA 测量。
J Appl Clin Med Phys. 2020 Nov;21(11):304-311. doi: 10.1002/acm2.13046. Epub 2020 Oct 25.
使用CIRS胸部体模对射波刀系统的蒙特卡罗算法进行基于胶片的剂量验证。
J Appl Clin Med Phys. 2018 May;19(3):142-148. doi: 10.1002/acm2.12314. Epub 2018 Mar 30.
4
A 3D correction method for predicting the readings of a PinPoint chamber on the CyberKnife M6 machine.一种用于预测 CyberKnife M6 机器上 PinPoint 腔读数的 3D 校正方法。
Phys Med Biol. 2018 Feb 13;63(4):045010. doi: 10.1088/1361-6560/aaa90d.
5
Independent Monte-Carlo dose calculation for MLC based CyberKnife radiotherapy.基于多叶准直器的 CyberKnife 放射治疗的独立蒙特卡罗剂量计算。
Phys Med Biol. 2017 Dec 19;63(1):015015. doi: 10.1088/1361-6560/aa97f8.
6
Use of an in-house Monte Carlo platform to assess the clinical impact of algorithm-related dose differences on DVH constraints.利用内部蒙特卡罗平台评估算法相关剂量差异对剂量体积直方图(DVH)限制的临床影响。
Phys Med. 2017 Oct;42:319-326. doi: 10.1016/j.ejmp.2017.05.062. Epub 2017 Jun 26.
7
An overview on small-field dosimetry in photon beam radiotherapy: Developments and challenges.光子束放射治疗中小野剂量学概述:进展与挑战
J Cancer Res Ther. 2017 Apr-Jun;13(2):175-185. doi: 10.4103/0973-1482.199444.
8
Clinical implementation of a Monte Carlo based treatment plan QA platform for validation of Cyberknife and Tomotherapy treatments.基于蒙特卡洛方法的治疗计划质量保证平台在射波刀和螺旋断层放疗治疗验证中的临床应用。
Phys Med. 2016 Oct;32(10):1225-1237. doi: 10.1016/j.ejmp.2016.09.009. Epub 2016 Sep 19.
9
[Benchmark experiment to verify radiation transport calculations for dosimetry in radiation therapy].[用于验证放射治疗剂量测定中辐射传输计算的基准实验]
Z Med Phys. 2016 Sep;26(3):209-23. doi: 10.1016/j.zemedi.2015.06.009. Epub 2015 Oct 1.
10
Stereotactic radiosurgery in the treatment of brain metastases: the current evidence.立体定向放射外科治疗脑转移瘤:当前的证据。
Cancer Treat Rev. 2014 Feb;40(1):48-59. doi: 10.1016/j.ctrv.2013.05.002. Epub 2013 Jun 27.