• 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

利用帕累托前沿和临床分级分析探索前列腺癌放射治疗计划中的临床偏好

Exploration of clinical preferences in treatment planning of radiotherapy for prostate cancer using Pareto fronts and clinical grading analysis.

作者信息

Kyroudi A, Petersson K, Ozsahin E, Bourhis J, Bochud F, Moeckli R

机构信息

Institute of Radiation Physics, Lausanne University Hospital, Rue du Grand-Pré 1, CH 1007 Lausanne, Switzerland.

Department of Radiation Oncology, Lausanne University Hospital, Rue du Bugnon 46, CH 1011 Lausanne, Switzerland.

出版信息

Phys Imaging Radiat Oncol. 2020 Jun 12;14:82-86. doi: 10.1016/j.phro.2020.05.008. eCollection 2020 Apr.

DOI:10.1016/j.phro.2020.05.008
PMID:33458319
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7807626/
Abstract

INTRODUCTION

Radiotherapy treatment planning is a multi-criteria problem. Any optimization of the process produces a set of mathematically optimal solutions. These optimal plans are considered mathematically equal, but they differ in terms of the trade-offs involved. Since the various objectives are conflicting, the choice of the best plan for treatment is dependent on the preferences of the radiation oncologists or the medical physicists (decision makers).We defined a clinically relevant area on a prostate Pareto front which better represented clinical preferences and determined if there were differences among radiation oncologists and medical physicists.

METHODS AND MATERIALS

Pareto fronts of five localized prostate cancer patients were used to analyze and visualize the trade-off between the rectum sparing and the PTV under-dosage. Clinical preferences were evaluated with Clinical Grading Analysis by asking nine radiation oncologists and ten medical physicists to rate pairs of plans presented side by side. A choice of the optimal plan on the Pareto front was made by all decision makers.

RESULTS

The plans in the central region of the Pareto front (1-4% PTV under-dosage) received the best evaluations. Radiation oncologists preferred the organ at risk (OAR) sparing region (2.5-4% PTV under-dosage) while medical physicists preferred better PTV coverage (1-2.5% PTV under-dosage). When the Pareto fronts were additionally presented to the decisions makers they systematically chose the plan in the trade-off region (0.5-1% PTV under-dosage).

CONCLUSION

We determined a specific region on the Pareto front preferred by the radiation oncologists and medical physicists and found a difference between them.

摘要

引言

放射治疗计划是一个多标准问题。该过程的任何优化都会产生一组数学上的最优解。这些最优计划在数学上被认为是相等的,但它们在涉及的权衡方面有所不同。由于各种目标相互冲突,选择最佳治疗计划取决于放射肿瘤学家或医学物理学家(决策者)的偏好。我们在前列腺帕累托前沿定义了一个临床相关区域,该区域能更好地代表临床偏好,并确定放射肿瘤学家和医学物理学家之间是否存在差异。

方法和材料

使用五名局限性前列腺癌患者的帕累托前沿来分析和可视化直肠保护与计划靶体积(PTV)剂量不足之间的权衡。通过让九名放射肿瘤学家和十名医学物理学家对并排呈现的计划对进行评分,用临床分级分析来评估临床偏好。所有决策者都在帕累托前沿上选择了最优计划。

结果

帕累托前沿中心区域的计划(PTV剂量不足1 - 4%)获得了最佳评价。放射肿瘤学家更喜欢危及器官(OAR)保护区域(PTV剂量不足2.5 - 4%),而医学物理学家更喜欢更好的PTV覆盖(PTV剂量不足1 - 2.5%)。当向决策者额外展示帕累托前沿时,他们系统地选择了权衡区域的计划(PTV剂量不足0.5 - 1%)。

结论

我们确定了放射肿瘤学家和医学物理学家在帕累托前沿上偏好一的个特定区域,并发现了他们之间的差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4557/7807626/8b0e05ceb3e2/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4557/7807626/8b0e05ceb3e2/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4557/7807626/8b0e05ceb3e2/gr1.jpg

相似文献

1
Exploration of clinical preferences in treatment planning of radiotherapy for prostate cancer using Pareto fronts and clinical grading analysis.利用帕累托前沿和临床分级分析探索前列腺癌放射治疗计划中的临床偏好
Phys Imaging Radiat Oncol. 2020 Jun 12;14:82-86. doi: 10.1016/j.phro.2020.05.008. eCollection 2020 Apr.
2
Influence of optimisation parameters on directly deliverable Pareto fronts explored for prostate cancer.探讨优化参数对前列腺癌直接可交付帕累托前沿的影响。
Phys Med. 2023 Oct;114:103139. doi: 10.1016/j.ejmp.2023.103139. Epub 2023 Sep 25.
3
An approach to multiobjective optimization of rotational therapy. II. Pareto optimal surfaces and linear combinations of modulated blocked arcs for a prostate geometry.旋转治疗的多目标优化方法。二、前列腺几何形状的帕累托最优曲面和调制的块状弧的线性组合。
Med Phys. 2010 Jun;37(6):2606-16. doi: 10.1118/1.3427410.
4
The feasibility of using Pareto fronts for comparison of treatment planning systems and delivery techniques.使用帕累托前沿比较治疗计划系统和交付技术的可行性。
Acta Oncol. 2009;48(2):233-7. doi: 10.1080/02841860802251559.
5
Beam configuration selection for robust intensity-modulated proton therapy in cervical cancer using Pareto front comparison.使用帕累托前沿比较法进行宫颈癌稳健调强质子治疗的射束配置选择
Phys Med Biol. 2016 Feb 21;61(4):1780-94. doi: 10.1088/0031-9155/61/4/1780. Epub 2016 Feb 8.
6
Dose-shaping using targeted sparse optimization.使用靶向稀疏优化进行剂量塑形。
Med Phys. 2013 Jul;40(7):071711. doi: 10.1118/1.4808363.
7
Pareto fronts in clinical practice for pinnacle.帕累托前沿在巅峰的临床实践中。
Int J Radiat Oncol Biol Phys. 2013 Mar 1;85(3):873-80. doi: 10.1016/j.ijrobp.2012.05.045. Epub 2012 Aug 15.
8
Investigating multi-objective fluence and beam orientation IMRT optimization.研究多目标注量和射束方向调强放射治疗优化。
Phys Med Biol. 2017 Jul 7;62(13):5228-5244. doi: 10.1088/1361-6560/aa7298. Epub 2017 May 11.
9
Optimal beam margins in linac-based VMAT stereotactic ablative body radiotherapy: a Pareto front analysis for liver metastases.基于直线加速器的容积调强弧形放疗在立体定向消融体部放射治疗中的最佳射野边界:肝转移瘤的帕累托前沿分析
Med Dosim. 2018;43(3):291-301. doi: 10.1016/j.meddos.2017.10.006. Epub 2017 Nov 27.
10
PARETO: A novel evolutionary optimization approach to multiobjective IMRT planning.PARETO:一种新颖的多目标调强放疗计划进化优化方法。
Med Phys. 2011 Sep;38(9):5217-29. doi: 10.1118/1.3615622.

引用本文的文献

1
Advantages and limitations of navigation-based multicriteria optimization (MCO) in selectively sparing pharyngeal constrictor muscles in head and neck radiotherapy treatment planning.基于导航的多标准优化(MCO)在头颈部放射治疗计划中选择性保留咽缩肌的优势与局限性
J Appl Clin Med Phys. 2025 Jul;26(7):e70112. doi: 10.1002/acm2.70112. Epub 2025 Jun 5.
2
Feasibility study of automatic radiotherapy treatment planning for cervical cancer using a large language model.使用大语言模型进行宫颈癌自动放射治疗计划的可行性研究
Radiat Oncol. 2025 May 15;20(1):77. doi: 10.1186/s13014-025-02660-5.
3
Comparative Study of Eclipse and RayStation Multi-Criteria Optimization-Based Prostate Radiotherapy Treatment Planning Quality.

本文引用的文献

1
Utilisation of Pareto navigation techniques to calibrate a fully automated radiotherapy treatment planning solution.利用帕累托导航技术校准全自动放射治疗计划解决方案。
Phys Imaging Radiat Oncol. 2019 May 16;10:41-48. doi: 10.1016/j.phro.2019.04.005. eCollection 2019 Apr.
2
Evaluating the application of Pareto navigation guided automated radiotherapy treatment planning to prostate cancer.评估 Pareto 导航引导自动化放射治疗计划在前列腺癌中的应用。
Radiother Oncol. 2019 Dec;141:220-226. doi: 10.1016/j.radonc.2019.08.001. Epub 2019 Sep 13.
3
Knowledge-based planning for intensity-modulated radiation therapy: A review of data-driven approaches.
基于Eclipse和RayStation多标准优化的前列腺癌放射治疗计划质量的比较研究
Diagnostics (Basel). 2024 Feb 20;14(5):465. doi: 10.3390/diagnostics14050465.
4
CircNEIL3 mediates pyroptosis to influence lung adenocarcinoma radiotherapy by upregulating PIF1 through miR-1184 inhibition.环状 RNA 神经内啡肽酶 3 通过抑制 miR-1184 上调 PIF1 介导细胞焦亡影响肺腺癌放疗敏感性。
Cell Death Dis. 2022 Feb 21;13(2):167. doi: 10.1038/s41419-022-04561-x.
基于知识的强度调制放射治疗计划:数据驱动方法综述。
Med Phys. 2019 Jun;46(6):2760-2775. doi: 10.1002/mp.13526. Epub 2019 Apr 24.
4
Automated Instead of Manual Treatment Planning? A Plan Comparison Based on Dose-Volume Statistics and Clinical Preference.自动化治疗计划替代手动治疗计划?基于剂量-体积统计和临床偏好的计划比较。
Int J Radiat Oncol Biol Phys. 2018 Oct 1;102(2):443-450. doi: 10.1016/j.ijrobp.2018.05.063. Epub 2018 Jun 2.
5
Automation in intensity modulated radiotherapy treatment planning-a review of recent innovations.调强放射治疗治疗计划中的自动化——近期创新综述
Br J Radiol. 2018 Dec;91(1092):20180270. doi: 10.1259/bjr.20180270. Epub 2018 Sep 4.
6
Automatic treatment planning improves the clinical quality of head and neck cancer treatment plans.自动治疗计划可提高头颈癌治疗计划的临床质量。
Clin Transl Radiat Oncol. 2016 Sep 19;1:2-8. doi: 10.1016/j.ctro.2016.08.001. eCollection 2016 Dec.
7
Analysis of the treatment plan evaluation process in radiotherapy through eye tracking.通过眼动追踪分析放射治疗中的治疗计划评估过程。
Z Med Phys. 2018 Dec;28(4):318-324. doi: 10.1016/j.zemedi.2017.11.002. Epub 2017 Dec 21.
8
Discrepancies between selected Pareto optimal plans and final deliverable plans in radiotherapy multi-criteria optimization.放射治疗多标准优化中选定的帕累托最优计划与最终可交付计划之间的差异。
Radiother Oncol. 2016 Aug;120(2):346-8. doi: 10.1016/j.radonc.2016.05.018. Epub 2016 Jun 3.
9
Evaluation of an automated knowledge based treatment planning system for head and neck.头颈部基于知识的自动化治疗计划系统的评估
Radiat Oncol. 2015 Nov 10;10:226. doi: 10.1186/s13014-015-0533-2.
10
Predicting objective function weights from patient anatomy in prostate IMRT treatment planning.从前列腺调强放疗计划中的患者解剖结构预测目标函数权重。
Med Phys. 2013 Dec;40(12):121706. doi: 10.1118/1.4828841.