• 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

TU-E-BRB-03: Biological Dose Optimization for SBRT of Lung Cancer: One Size Does Not Fit All.

作者信息

Chen D, Li H, Liu D, Zhao B, Glide-Hurst C, Ajlouni M, Chetty I

机构信息

Henry Ford Health System, Detroit, MI.

出版信息

Med Phys. 2012 Jun;39(6Part24):3908. doi: 10.1118/1.4735952.

DOI:10.1118/1.4735952
PMID:28518674
Abstract

PURPOSE

Given the differences in tumor size and location, encountered in lung SBRT, we hypothesize that 'one dose fractionation regimen does not fit all', i.e. that there is a role for patient-specific dose prescription based on optimization of biological models.

METHODS

Sixty one NSCLC patients (tumor volume 46.5+/-47.3 cc) treated with stereotactic body radiotherapy (48 Gy in 4fx) were retrospectively studied. Clinically treated plans were generated using Brainlab's Pencil Beam (PB-BL), and then recalculated with fixed MUs using Anisotropic Analytic Algorithm (AAA), Pencil Beam (PB-EC), Monte Carlo (MC) and Collapsed-Cone-Convolution (CCC). DVHs were exported to calculate TCP (Poisson) and NTCP (Lyman-Kutcher-Burman). TCP/NTCP model parameters were utilized from published data. For each dose distribution two dose response curves were generated by scaling the prescription dose and assuming a linear relationship between the prescription dose and entire 3D dose distribution. In addition, associations were assessed between changes in each algorithm's TCP relative to PB-BL, target diameter, and local density (density of the 70% isodose covering the PTV).

RESULTS

For PB-BL, mean TCP was 99.6%±0.9%, whereas for same MUs, mean TCP for PB-EC, AAA, CC and MC plans were 96.5±14.3%, 74.6±31.6%, 74.4±32.4% and 76.8±32.0%, respectively. With the same prescription dose for all plans, TCP values changed to 98.1±8.7%, 96.5±15.3%, 77.5±28.6%, 85.4±25.8% and 92.9±20.1% for PB-BL, PB-EC, AAA, and CCC, MC, respectively, indicating that AAA and CCC dose distributions are likely less homogeneous relative to MC. The TCP improvement was 12.3%, 8.9% and 4.4% for AAA, CCC and MC-based plans when the average NTCP before optimization was set as the upper limit for lung toxicity.

CONCLUSIONS

This work supports patient-specific dose prescription strategies, based on biological optimization, for lung SBRT. However, further investigation is warranted. Acknowledgement: supported in part by a grant from Varian Medical Systems.

摘要

相似文献

1
TU-E-BRB-03: Biological Dose Optimization for SBRT of Lung Cancer: One Size Does Not Fit All.
Med Phys. 2012 Jun;39(6Part24):3908. doi: 10.1118/1.4735952.
2
Radiobiological impact of dose calculation algorithms on biologically optimized IMRT lung stereotactic body radiation therapy plans.剂量计算算法对生物优化的IMRT肺部立体定向体部放射治疗计划的放射生物学影响。
Radiat Oncol. 2016 Jan 22;11:10. doi: 10.1186/s13014-015-0578-2.
3
Effect of the normalized prescription isodose line on the magnitude of Monte Carlo vs. pencil beam target dose differences for lung stereotactic body radiotherapy.归一化处方等剂量线对肺部立体定向体部放射治疗中蒙特卡罗与笔形束靶区剂量差异大小的影响。
J Appl Clin Med Phys. 2016 Jul 8;17(4):48-58. doi: 10.1120/jacmp.v17i4.5965.
4
SU-E-T-487: Spatial Assessment of Dose Distributions for Patients with Lung Cancer Treated with Stereotactic Ablative Radiotherapy (SABR).SU-E-T-487:立体定向消融放疗(SABR)治疗肺癌患者剂量分布的空间评估
Med Phys. 2012 Jun;39(6Part17):3817. doi: 10.1118/1.4735576.
5
Evaluation of the AAA Treatment Planning Algorithm for SBRT Lung Treatment: Comparison with Monte Carlo and Homogeneous Pencil Beam Dose Calculations.用于立体定向体部放疗肺部治疗的腹主动脉瘤治疗计划算法评估:与蒙特卡洛方法及均匀笔形束剂量计算的比较
J Med Imaging Radiat Sci. 2012 Mar;43(1):26-33. doi: 10.1016/j.jmir.2011.09.002. Epub 2011 Nov 30.
6
Stereotactic radiotherapy of intrapulmonary lesions: comparison of different dose calculation algorithms for Oncentra MasterPlan®.肺内病变的立体定向放射治疗:Oncentra MasterPlan® 不同剂量计算算法的比较
Radiat Oncol. 2015 Feb 22;10:51. doi: 10.1186/s13014-015-0354-3.
7
Dosimetric errors during treatment of centrally located lung tumors with stereotactic body radiation therapy: Monte Carlo evaluation of tissue inhomogeneity corrections.立体定向体部放射治疗中心型肺肿瘤过程中的剂量学误差:组织不均匀性校正的蒙特卡罗评估
Med Dosim. 2013 Winter;38(4):436-41. doi: 10.1016/j.meddos.2013.06.002. Epub 2013 Oct 9.
8
SU-E-T-511: Dose Variations Related to Tumor Size and Location for Pencil Beam and Anisotropic Analytical Algorithms.SU-E-T-511:笔形束算法和各向异性分析算法中与肿瘤大小和位置相关的剂量变化
Med Phys. 2012 Jun;39(6Part18):3823. doi: 10.1118/1.4735600.
9
SBRT of lung tumours: Monte Carlo simulation with PENELOPE of dose distributions including respiratory motion and comparison with different treatment planning systems.肺部肿瘤的立体定向体部放疗:使用PENELOPE进行蒙特卡罗模拟以计算包含呼吸运动的剂量分布,并与不同治疗计划系统进行比较
Phys Med Biol. 2007 Jul 21;52(14):4265-81. doi: 10.1088/0031-9155/52/14/016. Epub 2007 Jun 20.
10
SU-E-T-486: Volume and Location Dependence on the Difference Between Monte Carlo and Pencil Beam Dose Calculations for Lung Stereotactic Body Radiation Therapy.SU-E-T-486:肺部立体定向体部放射治疗中,蒙特卡罗剂量计算与笔形束剂量计算差异的体积和位置依赖性。
Med Phys. 2012 Jun;39(6Part17):3817. doi: 10.1118/1.4735575.

引用本文的文献

1
Radiobiological Optimization in Lung Stereotactic Body Radiation Therapy: Are We Ready to Apply Radiobiological Models?肺部立体定向体部放射治疗中的放射生物学优化:我们准备好应用放射生物学模型了吗?
Front Oncol. 2018 Jan 8;7:321. doi: 10.3389/fonc.2017.00321. eCollection 2017.