• 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

一种用于预测放疗中个体化碰撞的实用方法。

A practical method for predicting patient-specific collision in radiotherapy.

机构信息

Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

出版信息

J Appl Clin Med Phys. 2020 Aug;21(8):65-72. doi: 10.1002/acm2.12915. Epub 2020 May 28.

DOI:10.1002/acm2.12915
PMID:32462733
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7484822/
Abstract

PURPOSE

To develop a practical method for predicting patient-specific collision during the treatment planning process.

MATERIALS AND METHOD

Based on geometry information of the accelerator gantry and the location of plan isocenter, the collision-free space region could be determined. In this study, collision-free space region was simplified as a cylinder. Radius of cylinder was equal to the distance from isocenter to the collimator cover. The collision-free space was converted and imported into treatment planning system (TPS) in the form of region of interest (ROI) which was named as ROISS. Collision was viewed and evaluated on the fusion images of patient's CT and ROIs in TPS. If any points of patient's body or couch fell beyond the safety space, collision would occur. This method was implemented in the Pinnacle TPS. The impact of safety margin on accuracy was also discussed. Sixty-five plans of clinical patients were chosen for the clinical validation.

RESULTS

When the angle of couch is zero, the ROISS displays as a series of circles on the cross section of the patient's CT. When the couch angle is not zero, ROISS is a series of ellipses in the transverse view of patient's CT. The ROISS can be generated quickly within five seconds after a single mouse click in TPS. Adding safety margin is an effective measure in preventing collisions from being undetected. Safety margin could increase negative predictive value (NPV) of test cases. Accuracy obtained was 96.3% with the 3 cm safety margin with 100% true positive collision detection.

CONCLUSION

This study provides a reliable, accurate, and fast collision prediction during the treatment planning process. Potential collisions can be discovered and prevented early before delivering. This method can integrate with the current clinical workflow without any additional required resources, and contribute to improvement in the safety and efficiency of the clinic.

摘要

目的

开发一种在治疗计划过程中预测患者特定碰撞的实用方法。

材料与方法

基于加速器龙门架的几何信息和计划等中心点的位置,可以确定无碰撞空间区域。在本研究中,无碰撞空间区域被简化为一个圆柱体。圆柱体的半径等于等中心点到准直器盖的距离。无碰撞空间被转换并以感兴趣区域(ROI)的形式导入治疗计划系统(TPS),命名为 ROISS。在 TPS 中将患者 CT 与 ROIs 的融合图像上查看和评估碰撞。如果患者身体或治疗床的任何点超出安全空间,则会发生碰撞。该方法已在 Pinnacle TPS 中实现。还讨论了安全裕度对准确性的影响。选择了 65 例临床患者的计划进行临床验证。

结果

当治疗床角度为零时,ROISS 在患者 CT 的横截面上显示为一系列圆。当治疗床角度不为零时,ROISS 在患者 CT 的横断面上为一系列椭圆。在 TPS 中,只需单击鼠标一次,即可在五秒内快速生成 ROISS。增加安全裕度是防止漏检碰撞的有效措施。安全裕度可以提高测试病例的阴性预测值(NPV)。使用 3cm 安全裕度,100%真阳性碰撞检测的准确率为 96.3%。

结论

本研究提供了一种在治疗计划过程中可靠、准确、快速的碰撞预测方法。可以在交付前尽早发现和预防潜在的碰撞。该方法可以与当前的临床工作流程集成,而无需任何额外的资源,有助于提高临床安全性和效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71be/7484822/b026190bcfed/ACM2-21-65-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71be/7484822/05462febc810/ACM2-21-65-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71be/7484822/f347cf5afe13/ACM2-21-65-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71be/7484822/5e4acbe6e269/ACM2-21-65-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71be/7484822/86f0a719f8ee/ACM2-21-65-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71be/7484822/93f6e38fdbc6/ACM2-21-65-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71be/7484822/8dd428406ad0/ACM2-21-65-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71be/7484822/b026190bcfed/ACM2-21-65-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71be/7484822/05462febc810/ACM2-21-65-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71be/7484822/f347cf5afe13/ACM2-21-65-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71be/7484822/5e4acbe6e269/ACM2-21-65-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71be/7484822/86f0a719f8ee/ACM2-21-65-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71be/7484822/93f6e38fdbc6/ACM2-21-65-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71be/7484822/8dd428406ad0/ACM2-21-65-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71be/7484822/b026190bcfed/ACM2-21-65-g007.jpg

相似文献

1
A practical method for predicting patient-specific collision in radiotherapy.一种用于预测放疗中个体化碰撞的实用方法。
J Appl Clin Med Phys. 2020 Aug;21(8):65-72. doi: 10.1002/acm2.12915. Epub 2020 May 28.
2
Development and clinical implementation of eclipse scripting-based automated patient-specific collision avoidance software.基于 eclipse 脚本的自动个体化患者碰撞避免软件的开发和临床应用。
J Appl Clin Med Phys. 2019 Sep;20(9):12-19. doi: 10.1002/acm2.12673. Epub 2019 Jul 7.
3
A clinically feasible method for the detection of potential collision in proton therapy.一种用于质子治疗中潜在碰撞检测的临床可行方法。
Med Phys. 2012 Nov;39(11):7094-101. doi: 10.1118/1.4760988.
4
Collision prediction software for radiotherapy treatments.放射治疗的碰撞预测软件。
Med Phys. 2015 Nov;42(11):6448-56. doi: 10.1118/1.4932628.
5
The development and verification of a highly accurate collision prediction model for automated noncoplanar plan delivery.用于自动非共面计划交付的高精度碰撞预测模型的开发与验证。
Med Phys. 2015 Nov;42(11):6457-67. doi: 10.1118/1.4932631.
6
Design of a 3D patient-specific collision avoidance virtual framework for half-gantry proton therapy system.一种用于半龙门质子治疗系统的 3D 患者特定防碰撞虚拟框架的设计。
J Appl Clin Med Phys. 2022 Feb;23(2):e13496. doi: 10.1002/acm2.13496. Epub 2021 Dec 10.
7
A collision prediction framework for noncoplanar radiotherapy planning and delivery.一种用于非共面放射治疗计划和实施的碰撞预测框架。
J Appl Clin Med Phys. 2020 Aug;21(8):92-106. doi: 10.1002/acm2.12920. Epub 2020 Jun 19.
8
A novel, end-to-end framework for avoiding collisions between the patient's body and gantry in proton therapy.一种新的端到端框架,用于避免质子治疗中患者身体和龙门架之间的碰撞。
Med Phys. 2023 Nov;50(11):6684-6692. doi: 10.1002/mp.16784. Epub 2023 Oct 10.
9
Collision prediction for intracranial stereotactic radiosurgery planning: An easy-to-implement analytical solution.颅内立体定向放射治疗计划中的碰撞预测:一种易于实现的解析解。
Cancer Radiother. 2020 Jul;24(4):316-322. doi: 10.1016/j.canrad.2020.01.003. Epub 2020 May 25.
10
Collision avoidance in computer optimized treatment planning.计算机优化治疗计划中的碰撞避免
Med Phys. 1994 Jul;21(7):1053-64. doi: 10.1118/1.597397.

引用本文的文献

1
Longitudinal evaluation of workflow optimization in radiotherapy: A 4-year retrospective study.放射治疗工作流程优化的纵向评估:一项为期4年的回顾性研究。
J Appl Clin Med Phys. 2025 Sep;26(9):e70252. doi: 10.1002/acm2.70252.
2
Digital twin creation of a proton therapy treatment environment with hybrid LiDAR and RGB 3D camera.利用混合激光雷达和RGB 3D相机创建质子治疗环境的数字孪生模型。
J Appl Clin Med Phys. 2025 Aug;26(8):e70231. doi: 10.1002/acm2.70231.
3
Benchmarking MapRT and first clinical experience: A novel solution for collision-free non-coplanar treatment planning.

本文引用的文献

1
Development and clinical implementation of eclipse scripting-based automated patient-specific collision avoidance software.基于 eclipse 脚本的自动个体化患者碰撞避免软件的开发和临床应用。
J Appl Clin Med Phys. 2019 Sep;20(9):12-19. doi: 10.1002/acm2.12673. Epub 2019 Jul 7.
2
Collision Risk Mitigation of Varian TrueBeam Linear Accelerator With Supplemental Live-View Cameras.瓦里安 TrueBeam 直线加速器与补充实时视图摄像机的碰撞风险缓解。
Pract Radiat Oncol. 2019 Jan;9(1):e103-e109. doi: 10.1016/j.prro.2018.07.001. Epub 2018 Jul 12.
3
A priori patient-specific collision avoidance in radiotherapy using consumer grade depth cameras.
MapRT基准测试与首次临床经验:一种用于无碰撞非共面治疗计划的新解决方案。
J Appl Clin Med Phys. 2025 Mar;26(3):e14572. doi: 10.1002/acm2.14572. Epub 2025 Feb 5.
4
Assistance systems for patient positioning in radiotherapy practice.放射治疗实践中患者定位辅助系统。
Health Syst (Basingstoke). 2024 Oct 28;13(4):332-360. doi: 10.1080/20476965.2024.2395567. eCollection 2024.
5
Safety and efficiency of a fully automatic workflow for auto-segmentation in radiotherapy using three commercially available deep learning-based applications.使用三款市售基于深度学习的应用程序的放射治疗自动分割全自动化工作流程的安全性和效率。
Phys Imaging Radiat Oncol. 2024 Aug 13;31:100627. doi: 10.1016/j.phro.2024.100627. eCollection 2024 Jul.
6
A quantitative framework for patient-specific collision detection in proton therapy.用于质子治疗中患者特定碰撞检测的定量框架。
J Appl Clin Med Phys. 2024 Apr;25(4):e14247. doi: 10.1002/acm2.14247. Epub 2023 Dec 22.
7
Design of a 3D patient-specific collision avoidance virtual framework for half-gantry proton therapy system.一种用于半龙门质子治疗系统的 3D 患者特定防碰撞虚拟框架的设计。
J Appl Clin Med Phys. 2022 Feb;23(2):e13496. doi: 10.1002/acm2.13496. Epub 2021 Dec 10.
8
Automation and integration of a novel restricted single-isocenter stereotactic body radiotherapy (a-RESIST) method for synchronous two lung lesions.新型受限单中心立体定向体放射治疗(a-RESIST)同步治疗两肺病变的自动化与整合。
J Appl Clin Med Phys. 2021 Jul;22(7):56-65. doi: 10.1002/acm2.13259. Epub 2021 May 25.
基于先验知识的放射治疗中使用消费级深度相机进行患者个体化的碰撞规避。
Med Phys. 2017 Jul;44(7):3430-3436. doi: 10.1002/mp.12313. Epub 2017 Jun 13.
4
The effect of beam arrangements and the impact of non-coplanar beams on the treatment planning of stereotactic ablative radiation therapy for early stage lung cancer.射束排列的效果以及非共面射束对早期肺癌立体定向消融放疗治疗计划的影响。
J Med Radiat Sci. 2016 Mar;63(1):31-40. doi: 10.1002/jmrs.118. Epub 2015 Jul 14.
5
The development and verification of a highly accurate collision prediction model for automated noncoplanar plan delivery.用于自动非共面计划交付的高精度碰撞预测模型的开发与验证。
Med Phys. 2015 Nov;42(11):6457-67. doi: 10.1118/1.4932631.
6
Collision prediction software for radiotherapy treatments.放射治疗的碰撞预测软件。
Med Phys. 2015 Nov;42(11):6448-56. doi: 10.1118/1.4932628.
7
4π noncoplanar stereotactic body radiation therapy for head-and-neck cancer: potential to improve tumor control and late toxicity.4π 非共面立体定向体部放射治疗头颈部肿瘤:提高肿瘤控制率和迟发性毒性的潜力。
Int J Radiat Oncol Biol Phys. 2015 Feb 1;91(2):401-9. doi: 10.1016/j.ijrobp.2014.09.043. Epub 2014 Dec 5.
8
Collision indicator charts for gantry-couch position combinations for Siemens ONCOR and Elekta Infinity linacs.机架-治疗床位置组合的碰撞指示器图表,适用于西门子 ONCOR 和 Elekta Infinity 直线加速器。
J Appl Clin Med Phys. 2013 Sep 6;14(5):278-83. doi: 10.1120/jacmp.v14i5.4355.
9
4π non-coplanar liver SBRT: a novel delivery technique.4π 非共面肝 SBRT:一种新的治疗技术。
Int J Radiat Oncol Biol Phys. 2013 Apr 1;85(5):1360-6. doi: 10.1016/j.ijrobp.2012.09.028. Epub 2012 Nov 12.
10
A clinically feasible method for the detection of potential collision in proton therapy.一种用于质子治疗中潜在碰撞检测的临床可行方法。
Med Phys. 2012 Nov;39(11):7094-101. doi: 10.1118/1.4760988.