• 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

优化过程中剂量计算准确性对肺部调强放疗计划质量的影响。

Impact of dose calculation accuracy during optimization on lung IMRT plan quality.

作者信息

Li Ying, Rodrigues Anna, Li Taoran, Yuan Lulin, Yin Fang-Fang, Wu Q Jackie

机构信息

Department of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.

出版信息

J Appl Clin Med Phys. 2015 Jan 8;16(1):5137. doi: 10.1120/jacmp.v16i1.5137.

DOI:10.1120/jacmp.v16i1.5137
PMID:25679172
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5689966/
Abstract

The purpose of this study was to evaluate the effect of dose calculation accuracy and the use of an intermediate dose calculation step during the optimization of intensity-modulated radiation therapy (IMRT) planning on the final plan quality for lung cancer patients. This study included replanning for 11 randomly selected free-breathing lung IMRT plans. The original plans were optimized using a fast pencil beam convolution algorithm. After optimization, the final dose calculation was performed using the analytical anisotropic algorithm (AAA). The Varian Treatment Planning System (TPS) Eclipse v11, includes an option to perform intermediate dose calculation during optimization using the AAA. The new plans were created using this intermediate dose calculation during optimization with the same planning objectives and dose constraints as in the original plan. Differences in dosimetric parameters for the planning target volume (PTV) dose coverage, organs-at-risk (OARs) dose sparing, and the number of monitor units (MU) between the original and new plans were analyzed. Statistical significance was determined with a p-value of less than 0.05. All plans were normalized to cover 95% of the PTV with the prescription dose. Compared with the original plans, the PTV in the new plans had on average a lower maximum dose (69.45 vs. 71.96Gy, p = 0.005), a better homogeneity index (HI) (0.08 vs. 0.12, p = 0.002), and a better conformity index (CI) (0.69 vs. 0.59, p = 0.003). In the new plans, lung sparing was increased as the volumes receiving 5, 10, and 30 Gy were reduced when compared to the original plans (40.39% vs. 42.73%, p = 0.005; 28.93% vs. 30.40%, p = 0.001; 14.11%vs. 14.84%, p = 0.031). The volume receiving 20 Gy was not significantly lower (19.60% vs. 20.38%, p = 0.052). Further, the mean dose to the lung was reduced in the new plans (11.55 vs. 12.12 Gy, p = 0.024). For the esophagus, the mean dose, the maximum dose, and the volumes receiving 20 and 60 Gy were lower in the new plans than in the original plans (17.91 vs. 19.24 Gy, p = 0.004; 57.32vs. 59.81 Gy, p = 0.020; 39.34% vs. 41.59%, p = 0.097; 12.56%vs. 15.35%, p = 0.101). For the heart, the mean dose, the maximum dose, and the volume receiving 40 Gy were also lower in new plans (11.07 vs. 12.04 Gy, p = 0.007; 56.41 vs. 57.7 Gy, p = 0.027; 7.16% vs. 9.37%, p= 0.012). The maximum dose to the spinal cord in the new plans was significantly lower than in the original IMRT plans (29.1 vs. 31.39Gy, p = 0.014). Difference in MU between the IMRT plans was not significant (1216.90 vs. 1198.91, p = 0.328). In comparison to the original plans, the number of iterations needed to meet the optimization objectives in the new plans was reduced by a factor of 2 (2-3 vs. 5-6 iterations). Further, optimization was 30% faster corresponding to an average time savings of 10-15 min for the reoptimized plans. Accuracy of the dose calculation algorithm during optimization has an impact on planning efficiency, as well as on the final plan dosimetric quality. For lung IMRT treatment planning, utilizing the intermediate dose calculation during optimization is feasible for dose homogeneity improvement of the PTV and for improvement of optimization efficiency.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/5689966/3e33b054995b/ACM2-16-219-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/5689966/d8222ab39253/ACM2-16-219-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/5689966/7bb371615339/ACM2-16-219-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/5689966/3e33b054995b/ACM2-16-219-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/5689966/d8222ab39253/ACM2-16-219-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/5689966/7bb371615339/ACM2-16-219-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/557e/5689966/3e33b054995b/ACM2-16-219-g003.jpg
摘要

本研究的目的是评估在肺癌患者调强放射治疗(IMRT)计划优化过程中剂量计算准确性以及使用中间剂量计算步骤对最终计划质量的影响。本研究包括对11个随机选择的自由呼吸肺部IMRT计划进行重新规划。原始计划使用快速铅笔束卷积算法进行优化。优化后,使用分析各向异性算法(AAA)进行最终剂量计算。瓦里安治疗计划系统(TPS)Eclipse v11包括一个选项,可在优化过程中使用AAA进行中间剂量计算。新计划是在优化过程中使用此中间剂量计算创建的,其规划目标和剂量约束与原始计划相同。分析了原始计划和新计划之间在计划靶区(PTV)剂量覆盖、危及器官(OARs)剂量 sparing以及监测单位(MU)数量等剂量学参数方面的差异。以p值小于0.05确定统计学显著性。所有计划均进行归一化处理,以使PTV的95%覆盖处方剂量。与原始计划相比,新计划中的PTV平均最大剂量较低(69.45对71.96Gy,p = 0.005),均匀性指数(HI)更好(0.08对0.12,p = 0.002),适形指数(CI)更好(0.69对0.59,p = 0.003)。在新计划中,与原始计划相比,接受5、10和30 Gy的肺体积减少,肺 sparing增加(40.39%对42.73%,p = 0.005;28.93%对30.40%,p = 0.001;14.11%对14.84%,p = 0.031)。接受20 Gy的体积没有显著降低(19.60%对20.38%,p = 0.052)。此外,新计划中肺平均剂量降低(11.55对12.12 Gy,p = 0.024)。对于食管,新计划中的平均剂量、最大剂量以及接受20和60 Gy的体积均低于原始计划(17.91对19.24 Gy,p = 0.004;57.32对59.81 Gy,p = 0.020;39.34%对41.59%,p = 0.097;12.56%对15.35%,p = 0.101)。对于心脏,新计划中的平均剂量、最大剂量以及接受40 Gy的体积也较低(11.07对12.04 Gy,p = 0.007;56.41对57.7 Gy,p = 0.027;7.16%对9.37%,p = 0.012)。新计划中脊髓的最大剂量显著低于原始IMRT计划(29.1对31.39Gy,p = 0.014)。IMRT计划之间的MU差异不显著(1216.90对1198.91,p = 0.328)。与原始计划相比,新计划中达到优化目标所需的迭代次数减少了一半(2 - 3次对5 - 6次迭代)。此外,优化速度提高了30%,重新优化后的计划平均节省时间10 - 15分钟。优化过程中剂量计算算法的准确性对计划效率以及最终计划剂量学质量都有影响。对于肺部IMRT治疗计划,在优化过程中利用中间剂量计算对于改善PTV的剂量均匀性和提高优化效率是可行的。

相似文献

1
Impact of dose calculation accuracy during optimization on lung IMRT plan quality.优化过程中剂量计算准确性对肺部调强放疗计划质量的影响。
J Appl Clin Med Phys. 2015 Jan 8;16(1):5137. doi: 10.1120/jacmp.v16i1.5137.
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
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.
4
Robust optimization in lung treatment plans accounting for geometric uncertainty.考虑几何不确定性的肺部治疗计划中的稳健优化。
J Appl Clin Med Phys. 2018 May;19(3):19-26. doi: 10.1002/acm2.12291. Epub 2018 Mar 10.
5
Comparison of direct machine parameter optimization versus fluence optimization with sequential sequencing in IMRT of hypopharyngeal carcinoma.下咽癌调强放射治疗中直接机器参数优化与采用顺序排序的射束通量优化的比较
Radiat Oncol. 2007 Sep 6;2:33. doi: 10.1186/1748-717X-2-33.
6
Dosimetric study of uniform scanning proton therapy planning for prostate cancer patients with a metal hip prosthesis, and comparison with volumetric-modulated arc therapy.金属髋假体前列腺癌患者均匀扫描质子治疗计划的剂量学研究,并与容积旋转调强弧形治疗比较。
J Appl Clin Med Phys. 2014 May 8;15(3):4611. doi: 10.1120/jacmp.v15i3.4611.
7
Potential for reduced radiation-induced toxicity using intensity-modulated arc therapy for whole-brain radiotherapy with hippocampal sparing.使用调强弧形放疗技术进行全脑放疗并保护海马区以降低辐射诱导毒性的潜力。
J Appl Clin Med Phys. 2015 Sep 8;16(5):131–141. doi: 10.1120/jacmp.v16i5.5587.
8
A treatment planning study comparing Elekta VMAT and fixed field IMRT using the varian treatment planning system eclipse.使用瓦里安 Eclipse 治疗计划系统比较 ElektaVMAT 和固定野调强放疗的治疗计划研究。
Radiat Oncol. 2014 Jul 10;9:153. doi: 10.1186/1748-717X-9-153.
9
Dosimetric comparison of two treatment planning systems for spine SBRT.两种脊柱立体定向体部放疗治疗计划系统的剂量学比较
Med Dosim. 2020;45(1):77-84. doi: 10.1016/j.meddos.2019.07.001. Epub 2019 Aug 1.
10
Hypofractionated stereotactic radiotherapy for brain metastases: a dosimetric and treatment efficiency comparison between volumetric modulated arc therapy and intensity modulated radiotherapy.立体定向适形放疗治疗脑转移瘤:容积旋转调强弧形治疗与调强放疗的剂量学和治疗效率比较。
Technol Cancer Res Treat. 2010 Oct;9(5):499-507. doi: 10.1177/153303461000900508.

引用本文的文献

1
Improving VMAT dose calculation accuracy and planning quality via a GPU-accelerated Fourier transform dose calculation algorithm.通过GPU加速傅里叶变换剂量计算算法提高容积调强弧形治疗(VMAT)剂量计算精度和计划质量。
J Appl Clin Med Phys. 2025 Apr;26(4):e70002. doi: 10.1002/acm2.70002. Epub 2025 Feb 7.
2
Boosting radiotherapy dose calculation accuracy with deep learning.深度学习提高放疗剂量计算精度。
J Appl Clin Med Phys. 2020 Aug;21(8):149-159. doi: 10.1002/acm2.12937. Epub 2020 Jun 19.
3
On the pitfalls of PTV in lung SBRT using type-B dose engine: an analysis of PTV and worst case scenario concepts for treatment plan optimization.

本文引用的文献

1
Stereotactic radiotherapy for peripheral lung tumors: a comparison of volumetric modulated arc therapy with 3 other delivery techniques.立体定向放疗治疗周围型肺部肿瘤:容积旋转调强弧形治疗与其他 3 种技术的比较。
Radiother Oncol. 2010 Dec;97(3):437-42. doi: 10.1016/j.radonc.2010.09.027. Epub 2010 Nov 11.
2
Radiation dose-volume effects in the lung.肺部的放射剂量-体积效应。
Int J Radiat Oncol Biol Phys. 2010 Mar 1;76(3 Suppl):S70-6. doi: 10.1016/j.ijrobp.2009.06.091.
3
Algorithm for correcting optimization convergence errors in Eclipse.
基于 B 型剂量引擎的肺部 SBRT 中 PTV 的缺陷:针对治疗计划优化的 PTV 和最坏情况场景概念分析。
Radiat Oncol. 2020 May 29;15(1):130. doi: 10.1186/s13014-020-01573-9.
4
Investigating the dosimetric effects of grid size on dose calculation accuracy using volumetric modulated arc therapy in spine stereotactic radiosurgery.在脊柱立体定向放射治疗中,使用容积调强弧形治疗法研究格栅尺寸对剂量计算准确性的剂量学影响。
J Radiosurg SBRT. 2017;4(4):303-313.
5
Development and evaluation of a clinical model for lung cancer patients using stereotactic body radiotherapy (SBRT) within a knowledge-based algorithm for treatment planning.在基于知识的治疗计划算法中,使用立体定向体部放疗(SBRT)对肺癌患者进行临床模型的开发与评估。
J Appl Clin Med Phys. 2016 Nov 8;17(6):263-275. doi: 10.1120/jacmp.v17i6.6429.
6
Dosimetric impact of intermediate dose calculation for optimization convergence error.中间剂量计算对优化收敛误差的剂量学影响。
Oncotarget. 2016 Jun 21;7(25):37589-37598. doi: 10.18632/oncotarget.7743.
Eclipse 中优化收敛误差的校正算法。
J Appl Clin Med Phys. 2009 Oct 14;10(4):281-289. doi: 10.1120/jacmp.v10i4.3061.
4
Technical note: Heterogeneity dose calculation accuracy in IMRT: study of five commercial treatment planning systems using an anthropomorphic thorax phantom.技术说明:调强放疗中不均匀剂量计算的准确性:使用人体胸部模型对五种商用治疗计划系统的研究
Med Phys. 2008 Dec;35(12):5434-9. doi: 10.1118/1.3006353.
5
Validation of Varian's AAA algorithm with focus on lung treatments.瓦里安公司AAA算法针对肺部治疗的验证。
Acta Oncol. 2009;48(2):209-15. doi: 10.1080/02841860802287108.
6
Evaluation of dose prediction errors and optimization convergence errors of deliverable-based head-and-neck IMRT plans computed with a superposition/convolution dose algorithm.使用叠加/卷积剂量算法计算的基于可交付剂量的头颈IMRT计划的剂量预测误差和优化收敛误差评估
Med Phys. 2008 Aug;35(8):3722-7. doi: 10.1118/1.2956710.
7
Monte carlo evaluation of the AAA treatment planning algorithm in a heterogeneous multilayer phantom and IMRT clinical treatments for an Elekta SL25 linear accelerator.在异质多层体模中对腹主动脉瘤治疗计划算法进行蒙特卡罗评估,以及针对医科达SL25直线加速器的调强放射治疗临床治疗。
Med Phys. 2007 May;34(5):1665-77. doi: 10.1118/1.2727314.
8
A finite size pencil beam algorithm for IMRT dose optimization: density corrections.一种用于调强放疗剂量优化的有限尺寸笔形束算法:密度校正
Phys Med Biol. 2007 Feb 7;52(3):617-33. doi: 10.1088/0031-9155/52/3/006. Epub 2007 Jan 10.
9
Comparison of dose calculation algorithms for treatment planning in external photon beam therapy for clinical situations.临床情况下外照射光子束治疗计划剂量计算算法的比较。
Phys Med Biol. 2006 Nov 21;51(22):5785-807. doi: 10.1088/0031-9155/51/22/005. Epub 2006 Oct 24.
10
The dosimetric effects of tissue heterogeneities in intensity-modulated radiation therapy (IMRT) of the head and neck.头颈部调强放射治疗(IMRT)中组织不均匀性的剂量学效应
Phys Med Biol. 2006 Mar 7;51(5):1145-56. doi: 10.1088/0031-9155/51/5/007. Epub 2006 Feb 8.