• 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

使用机器人放射外科系统进行脊柱追踪治疗肺部肿瘤时计划靶区边缘的量化

Quantification of planning target volume margin when using a robotic radiosurgery system to treat lung tumors with spine tracking.

作者信息

James Joshua, Swanson Christine, Lynch Bart, Wang Brian, Dunlap Neal E

机构信息

Department of Radiation Oncology, University of Louisville, Louisville, Kentucky.

Baptist Health Louisville, Louisville, Kentucky.

出版信息

Pract Radiat Oncol. 2015 Jul-Aug;5(4):e337-43. doi: 10.1016/j.prro.2014.11.001. Epub 2014 Nov 6.

DOI:10.1016/j.prro.2014.11.001
PMID:25532489
Abstract

PURPOSE

The use of fiducial markers or direct tumor visualization allows for tumor tracking and ultimately smaller planning target volume (PTV) margins in the treatment of lung tumors, yet many patients are either not amenable to fiducial marker placement or their tumors are unable to be visualized on orthogonal-axis x-ray images. Spine tracking is an alternative method for tumor localization but is limited by the assumption that the location of the lung tumor relative to the spine is constant. The purpose of this study was to quantify the additional PTV margin needed when spine tracking is used to ensure the internal target volume (ITV) receives the prescription dose during treatment.

METHODS AND MATERIALS

Daily cone beam computed tomography images, registered based on tumor position, from 63 patients with lung cancer treated with stereotactic body radiation therapy were collected and analyzed. Rigid registrations were reperformed so that the position of the spine on the cone beam computed tomography image was aligned to its position on the planning computed tomography. Shifts from the treatment position to the new position were recorded, and per-patient mean shifts and standard deviations were calculated, as well as group systematic and random standard deviations. These data were used with van Herk's margin recipe to determine the additional margin required to adequately treat the patient population if spine tracking were used instead of direct daily tumor imaging. A retrospective dosimetric analysis was also performed on 6 patients with lung cancer previously treated by CyberKnife using spine tracking to determine the potential decrease in target coverage attributable to insufficient margin on the ITV. This analysis was performed by shifting the PTV volume relative to the CyberKnife treatment geometry to simulate a setup error caused by tracking the spine as opposed to the tumor.

RESULTS

The additional margins calculated by van Herk's margin recipe to adequately cover the ITV with the 95% isodose surface for 90% of the entire patient population in the vertical, longitudinal, and lateral directions were 6.4, 6.0, and 4.5 mm, respectively. The retrospective analysis showed a decrease in PTV coverage from 95.6% to 93.1% and an increase in new conformity index by 2.7% when the average shift data were used to simulate setup error. When the maximum shift data were used to simulate the worst possible outcome, PTV coverage decreased to 73.4% and the new conformity index increased by 26.8%.

CONCLUSIONS

Standard margins of 5 mm on the ITV for patients with lung cancer being treated with stereotactic body radiation therapy are insufficient and may result in geographic misses of the tumor when spine tracking is used to locate the position of the tumor in the lung. Therefore, we recommend the addition of 5-mm margins in all directions for a total of 10 mm to take into account the change in position of the tumor relative to the spine from the time of simulation to treatment.

摘要

目的

使用基准标记或直接肿瘤可视化可实现肿瘤追踪,并最终在肺部肿瘤治疗中缩小计划靶体积(PTV)边界,但许多患者要么不适合放置基准标记,要么其肿瘤在正交轴X线图像上无法可视化。脊柱追踪是肿瘤定位的另一种方法,但受肺部肿瘤相对于脊柱的位置恒定这一假设的限制。本研究的目的是量化使用脊柱追踪时为确保内部靶体积(ITV)在治疗期间接受处方剂量所需的额外PTV边界。

方法和材料

收集并分析了63例接受立体定向体部放射治疗的肺癌患者基于肿瘤位置配准的每日锥束计算机断层扫描图像。重新进行刚性配准,使锥束计算机断层扫描图像上脊柱的位置与计划计算机断层扫描上的位置对齐。记录从治疗位置到新位置的位移,计算每位患者的平均位移和标准差,以及组系统和随机标准差。这些数据与范赫克边界公式一起用于确定如果使用脊柱追踪而非每日直接肿瘤成像来充分治疗患者群体所需的额外边界。还对6例先前接受射波刀脊柱追踪治疗的肺癌患者进行了回顾性剂量分析,以确定由于ITV边界不足导致的靶区覆盖潜在减少。该分析通过相对于射波刀治疗几何结构移动PTV体积来模拟因追踪脊柱而非肿瘤导致的摆位误差。

结果

范赫克边界公式计算得出,为使90%的患者群体的ITV在垂直、纵向和横向方向上被95%等剂量面充分覆盖,额外边界分别为6.4、6.0和4.5mm。回顾性分析显示,当使用平均位移数据模拟摆位误差时,PTV覆盖率从95.6%降至93.1%,新适形指数增加2.7%。当使用最大位移数据模拟最坏可能结果时,PTV覆盖率降至73.4%,新适形指数增加26.8%。

结论

对于接受立体定向体部放射治疗的肺癌患者,ITV上5mm的标准边界不足,当使用脊柱追踪来定位肺部肿瘤位置时,可能导致肿瘤的几何遗漏。因此,我们建议在各个方向上增加5mm边界,总共10mm,以考虑从模拟到治疗期间肿瘤相对于脊柱的位置变化。

相似文献

1
Quantification of planning target volume margin when using a robotic radiosurgery system to treat lung tumors with spine tracking.使用机器人放射外科系统进行脊柱追踪治疗肺部肿瘤时计划靶区边缘的量化
Pract Radiat Oncol. 2015 Jul-Aug;5(4):e337-43. doi: 10.1016/j.prro.2014.11.001. Epub 2014 Nov 6.
2
Comparison between target margins derived from 4DCT scans and real-time tumor motion tracking: insights from lung tumor patients treated with robotic radiosurgery.基于4DCT扫描得出的靶区边界与实时肿瘤运动追踪的比较:来自接受机器人放射外科治疗的肺癌患者的见解
Med Phys. 2015 Mar;42(3):1280-7. doi: 10.1118/1.4907956.
3
Evaluation of target coverage and margins adequacy during CyberKnife Lung Optimized Treatment.评估 CyberKnife 肺部优化治疗中的靶区覆盖和边缘充分性。
Med Phys. 2018 Apr;45(4):1360-1368. doi: 10.1002/mp.12804. Epub 2018 Mar 12.
4
Verification of planning target volume settings in volumetric modulated arc therapy for stereotactic body radiation therapy by using in-treatment 4-dimensional cone beam computed tomography.使用治疗中 4D 锥形束 CT 对立体定向体部放射治疗的容积调强弧形治疗计划靶区设置进行验证。
Int J Radiat Oncol Biol Phys. 2013 Jul 1;86(3):426-31. doi: 10.1016/j.ijrobp.2013.02.019. Epub 2013 Apr 5.
5
ITV versus mid-ventilation for treatment planning in lung SBRT: a comparison of target coverage and PTV adequacy by using in-treatment 4D cone beam CT.在肺部 SBRT 治疗计划中,使用治疗中 4D 锥形束 CT 比较 ITV 与中通气时的靶区覆盖和 PTV 适形度。
Radiat Oncol. 2020 Mar 3;15(1):54. doi: 10.1186/s13014-020-01496-5.
6
Dosimetric comparison of stereotactic body radiotherapy using 4D CT and multiphase CT images for treatment planning of lung cancer: evaluation of the impact on daily dose coverage.使用4D CT和多期CT图像进行立体定向体部放射治疗肺癌的剂量学比较:对每日剂量覆盖影响的评估
Radiother Oncol. 2009 Jun;91(3):314-24. doi: 10.1016/j.radonc.2008.11.018. Epub 2008 Dec 26.
7
Evaluation of interfractional variation of the centroid position and volume of internal target volume during stereotactic body radiotherapy of lung cancer using cone-beam computed tomography.使用锥形束计算机断层扫描评估肺癌立体定向体部放射治疗期间内部靶区质心位置和体积的分次间变化。
J Appl Clin Med Phys. 2016 Mar 8;17(2):461-472. doi: 10.1120/jacmp.v17i2.5835.
8
Stereotactic ablative radiation therapy for subcentimeter lung tumors: clinical, dosimetric, and image guidance considerations.立体定向消融放疗治疗亚厘米肺肿瘤:临床、剂量学和图像引导考虑因素。
Int J Radiat Oncol Biol Phys. 2014 Nov 15;90(4):843-9. doi: 10.1016/j.ijrobp.2014.06.064. Epub 2014 Oct 18.
9
A comparative study to evaluate the efficacy of on board imaging with cone beam CT using target registration in patients with lung tumors undergoing stereotactic body radiation therapy and comparison with ExacTrac using skeletal registration on Novalis Tx.一项比较研究,旨在评估在接受立体定向体部放射治疗的肺部肿瘤患者中使用目标配准的锥形束CT进行机载成像的疗效,并与在Novalis Tx上使用骨骼配准的ExacTrac进行比较。
J Cancer Res Ther. 2011 Jul-Sep;7(3):304-7. doi: 10.4103/0973-1482.87029.
10
Geometrical tracking accuracy and appropriate PTV margins for robotic radiosurgery of liver lesions by SBRT.立体定向体部放射治疗肝脏病变的机器人放射外科的几何跟踪精度和适当的 PTV 边界。
Acta Oncol. 2019 Jun;58(6):906-915. doi: 10.1080/0284186X.2019.1578896. Epub 2019 Feb 23.

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
Assessment of Spinal Tumor Treatment Using Implanted 3D-Printed Vertebral Bodies with Robotic Stereotactic Radiotherapy.使用植入式3D打印椎体结合机器人立体定向放射治疗评估脊柱肿瘤的治疗效果
Innovation (Camb). 2020 Aug 10;1(2):100040. doi: 10.1016/j.xinn.2020.100040. eCollection 2020 Aug 28.
3
Tracking, gating, free-breathing, which technique to use for lung stereotactic treatments? A dosimetric comparison.
追踪、门控、自由呼吸,肺立体定向治疗该使用哪种技术?剂量学比较。
Rep Pract Oncol Radiother. 2019 Jan-Feb;24(1):97-104. doi: 10.1016/j.rpor.2018.11.003. Epub 2018 Nov 24.
4
Cyberknife stereotactic radiation therapy for stage I lung cancer and pulmonary metastases: evaluation of local control at 24 months.射波刀立体定向放射治疗I期肺癌及肺转移瘤:24个月局部控制情况评估
J Thorac Dis. 2018 Aug;10(8):4976-4984. doi: 10.21037/jtd.2018.07.26.
5
Clinical Results of Mean GTV Dose Optimized Robotic-Guided Stereotactic Body Radiation Therapy for Lung Tumors.平均GTV剂量优化的机器人引导立体定向体部放射治疗肺部肿瘤的临床结果
Front Oncol. 2018 May 17;8:171. doi: 10.3389/fonc.2018.00171. eCollection 2018.
6
Preserving the legacy of reirradiation: A narrative review of historical publications.保留再照射的历史遗产:对历史出版物的叙述性综述
Adv Radiat Oncol. 2017 Feb 28;2(2):176-182. doi: 10.1016/j.adro.2017.02.005. eCollection 2017 Apr-Jun.