• 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

通过一种新的优化器,显著降低了 OAR 剂量,并缩短了复杂机器人 SBRT 病例的计划和治疗时间。

Largely reduced OAR doses, and planning and delivery times for challenging robotic SBRT cases, obtained with a novel optimizer.

机构信息

Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Radiotherapy, Dr.Molewaterplein 40, Rotterdam, 3015 GD, The Netherlands.

出版信息

J Appl Clin Med Phys. 2021 Mar;22(3):35-47. doi: 10.1002/acm2.13172. Epub 2021 Jan 21.

DOI:10.1002/acm2.13172
PMID:33475227
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7984474/
Abstract

Recently, VOLO™ was introduced as a new optimizer for CyberKnife® planning. In this study, we investigated possibilities to improve treatment plans for MLC-based prostate SBRT with enhanced peripheral zone dose while sparing the urethra, and central lung tumors, compared to existing Sequential Optimization (SO). The primary focus was on reducing OAR doses. For 25 prostate and 25 lung patients treated with SO plans, replanning with VOLO™ was performed with the same planning constraints. For equal PTV coverage, almost all OAR plan parameters were improved with VOLO™. For prostate patients, mean rectum and bladder doses were reduced by 34.2% (P < 0.001) and 23.5% (P < 0.001), with reductions in D of 3.9%, 11.0% and 3.1% for rectum, mucosa and bladder (all P ≤ 0.01). Urethra D and D were 3.8% and 3.0% lower (P ≤ 0.002). For lung patients, esophagus, main bronchus, trachea, and spinal cord D was reduced by 18.9%, 11.1%, 16.1%, and 13.2%, respectively (all P ≤ 0.01). Apart from the dosimetric advantages of VOLO™ planning, average reductions in MU, numbers of beams and nodes for prostate/lung were 48.7/32.8%, 26.5/7.9% and 13.4/7.9%, respectively (P ≤ 0.003). VOLO™ also resulted in reduced delivery times with mean/max reductions of: 27/43% (prostate) and 15/41% (lung), P  < 0.001. Planning times reduced from 6 h to 1.1 h and from 3 h to 1.7 h for prostate and lung, respectively. The new VOLO™ planning was highly superior to SO planning in terms of dosimetric plan quality, and planning and delivery times.

摘要

最近,推出了一种新的优化器 VOLO™,用于 CyberKnife® 计划。在这项研究中,我们研究了通过增强前列腺周围区域剂量来改善基于 MLC 的前列腺 SBRT 治疗计划的可能性,同时保护尿道和中央肺肿瘤,与现有的顺序优化 (SO) 相比。主要重点是降低 OAR 剂量。对于 25 例前列腺和 25 例肺患者的 SO 计划进行重新规划,使用相同的规划约束条件对 VOLO™ 进行重新规划。对于相同的 PTV 覆盖范围,几乎所有的 OAR 计划参数都通过 VOLO™ 得到了改善。对于前列腺患者,直肠和膀胱的平均剂量分别降低了 34.2%(P<0.001)和 23.5%(P<0.001),直肠、黏膜和膀胱的 D 降低了 3.9%、11.0%和 3.1%(均 P≤0.01)。尿道 D 和 D 分别降低了 3.8%和 3.0%(P≤0.002)。对于肺患者,食管、主支气管、气管和脊髓的 D 分别降低了 18.9%、11.1%、16.1%和 13.2%(均 P≤0.01)。除了 VOLO™ 计划的剂量优势外,前列腺/肺的 MU、光束和节点数量的平均减少分别为 48.7%/32.8%、26.5%/7.9%和 13.4%/7.9%(均 P≤0.003)。VOLO™ 还降低了治疗时间,平均减少了 27%/43%(前列腺)和 15%/41%(肺)(P<0.001)。前列腺和肺的治疗时间分别从 6 小时减少到 1.1 小时和从 3 小时减少到 1.7 小时。新的 VOLO™ 计划在剂量学计划质量、计划和治疗时间方面都明显优于 SO 计划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d039/7984474/a8b93b7e7d3a/ACM2-22-35-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d039/7984474/ac36adc01f9a/ACM2-22-35-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d039/7984474/b8e4901868a8/ACM2-22-35-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d039/7984474/d1927392437d/ACM2-22-35-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d039/7984474/fc0cc799b78e/ACM2-22-35-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d039/7984474/0b7ecd6534be/ACM2-22-35-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d039/7984474/5f22f6a7d30e/ACM2-22-35-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d039/7984474/d3b2bc8cc46f/ACM2-22-35-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d039/7984474/a8b93b7e7d3a/ACM2-22-35-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d039/7984474/ac36adc01f9a/ACM2-22-35-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d039/7984474/b8e4901868a8/ACM2-22-35-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d039/7984474/d1927392437d/ACM2-22-35-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d039/7984474/fc0cc799b78e/ACM2-22-35-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d039/7984474/0b7ecd6534be/ACM2-22-35-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d039/7984474/5f22f6a7d30e/ACM2-22-35-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d039/7984474/d3b2bc8cc46f/ACM2-22-35-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d039/7984474/a8b93b7e7d3a/ACM2-22-35-g005.jpg

相似文献

1
Largely reduced OAR doses, and planning and delivery times for challenging robotic SBRT cases, obtained with a novel optimizer.通过一种新的优化器,显著降低了 OAR 剂量,并缩短了复杂机器人 SBRT 病例的计划和治疗时间。
J Appl Clin Med Phys. 2021 Mar;22(3):35-47. doi: 10.1002/acm2.13172. Epub 2021 Jan 21.
2
Novel inverse planning optimization algorithm for robotic radiosurgery: First clinical implementation and dosimetric evaluation.机器人放射外科新的逆向计划优化算法:首次临床实施和剂量评估。
Phys Med. 2019 Aug;64:230-237. doi: 10.1016/j.ejmp.2019.07.020. Epub 2019 Aug 1.
3
Comparison of two optimization algorithms (VOLO , SEQU) for CyberKnife® treatment of acoustic neuromas, lung metastases, and liver metastases.两种优化算法(VOLO 、SEQU)在 CyberKnife®治疗听神经瘤、肺转移瘤和肝转移瘤中的比较。
J Appl Clin Med Phys. 2023 Dec;24(12):e14144. doi: 10.1002/acm2.14144. Epub 2023 Sep 6.
4
Performance assessment of a new optimization system for robotic SBRT MLC-based plans.基于机器人立体定向体部放疗多叶准直器计划的新型优化系统的性能评估
Phys Med. 2020 Mar;71:31-38. doi: 10.1016/j.ejmp.2020.02.009. Epub 2020 Feb 20.
5
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.
6
Improving treatment efficiency via photon optimizer (PO) MLC algorithm for synchronous single-isocenter/multiple-lesions VMAT lung SBRT.通过光子优化器 (PO) MLC 算法提高同步单病灶/多病灶 VMAT 肺部 SBRT 的治疗效率。
J Appl Clin Med Phys. 2019 Oct;20(10):201-207. doi: 10.1002/acm2.12721. Epub 2019 Sep 20.
7
First fully automated planning solution for robotic radiosurgery - comparison with automatically planned volumetric arc therapy for prostate cancer.首例机器人放射外科手术全自动化计划解决方案 - 与前列腺癌容积弧形调强放疗的自动计划比较。
Acta Oncol. 2018 Nov;57(11):1490-1498. doi: 10.1080/0284186X.2018.1479068. Epub 2018 Jul 2.
8
Development and clinical validation of a robust knowledge-based planning model for stereotactic body radiotherapy treatment of centrally located lung tumors.用于中央型肺肿瘤立体定向体部放射治疗的稳健的基于知识的计划模型的开发与临床验证
J Appl Clin Med Phys. 2021 Jan;22(1):146-155. doi: 10.1002/acm2.13120. Epub 2020 Dec 7.
9
Organ-at-risk dose prediction using a machine learning algorithm: Clinical validation and treatment planning benefit for lung SBRT.利用机器学习算法预测危及器官剂量:肺癌 SBRT 的临床验证和治疗计划获益。
J Appl Clin Med Phys. 2022 Jun;23(6):e13609. doi: 10.1002/acm2.13609. Epub 2022 Apr 23.
10
Stereotactic body radiotherapy using a hydrogel spacer for localized prostate cancer: A dosimetric comparison between tomotherapy with the newly-developed tumor-tracking system and cyberknife.立体定向体部放疗联合水凝胶 spacer 治疗局限性前列腺癌:新型肿瘤追踪系统 Tomotherapy 与 Cyberknife 比较的剂量学研究。
J Appl Clin Med Phys. 2021 Oct;22(10):66-72. doi: 10.1002/acm2.13395. Epub 2021 Aug 20.

引用本文的文献

1
Results of Stereotactic Body Radiotherapy With CyberKnife-M6 for Primary and Metastatic Lung Cancer.射波刀-M6立体定向体部放射治疗原发性和转移性肺癌的结果
World J Oncol. 2024 Aug;15(4):711-721. doi: 10.14740/wjon1865. Epub 2024 Jul 5.
2
Dosimetric comparison of HyperArc and InCise MLC-based CyberKnife plans in treating single and multiple brain metastases.比较 HyperArc 和 InCise MLC 基于 CyberKnife 计划治疗单发和多发脑转移瘤的剂量学差异。
J Appl Clin Med Phys. 2024 Aug;25(8):e14404. doi: 10.1002/acm2.14404. Epub 2024 May 27.
3
An analysis of the regional heterogeneity in tissue elasticity in lung cancer patients with COPD.

本文引用的文献

1
Clinical impact of the VOLO optimizer on treatment plan quality and clinical treatment efficiency for CyberKnife.VOLO优化器对射波刀治疗计划质量和临床治疗效率的临床影响。
J Appl Clin Med Phys. 2020 May;21(5):38-47. doi: 10.1002/acm2.12851. Epub 2020 Mar 25.
2
Performance assessment of a new optimization system for robotic SBRT MLC-based plans.基于机器人立体定向体部放疗多叶准直器计划的新型优化系统的性能评估
Phys Med. 2020 Mar;71:31-38. doi: 10.1016/j.ejmp.2020.02.009. Epub 2020 Feb 20.
3
Novel inverse planning optimization algorithm for robotic radiosurgery: First clinical implementation and dosimetric evaluation.
慢性阻塞性肺疾病(COPD)合并肺癌患者组织弹性区域异质性分析
Front Med (Lausanne). 2023 Sep 28;10:1151867. doi: 10.3389/fmed.2023.1151867. eCollection 2023.
4
Technical feasibility of online adaptive stereotactic treatments in the abdomen on a robotic radiosurgery system.在机器人放射外科系统上进行腹部在线自适应立体定向治疗的技术可行性。
Phys Imaging Radiat Oncol. 2022 Jul 28;23:103-108. doi: 10.1016/j.phro.2022.07.005. eCollection 2022 Jul.
5
Intrafraction Prostate Motion Management During Dose-Escalated Linac-Based Stereotactic Body Radiation Therapy.基于直线加速器的剂量递增立体定向体部放射治疗期间的分次内前列腺运动管理
Front Oncol. 2022 Apr 7;12:883725. doi: 10.3389/fonc.2022.883725. eCollection 2022.
6
Applying pytorch toolkit to plan optimization for circular cone based robotic radiotherapy.应用 PyTorch 工具包进行基于圆锥体的机器人放射治疗计划优化。
Radiat Oncol. 2022 Apr 20;17(1):82. doi: 10.1186/s13014-022-02045-y.
7
Fully automated treatment planning for MLC-based robotic radiotherapy.基于 MLC 的机器人放射治疗的全自动治疗计划。
Med Phys. 2021 Aug;48(8):4139-4147. doi: 10.1002/mp.14993. Epub 2021 Jun 28.
机器人放射外科新的逆向计划优化算法:首次临床实施和剂量评估。
Phys Med. 2019 Aug;64:230-237. doi: 10.1016/j.ejmp.2019.07.020. Epub 2019 Aug 1.
4
Individualized automated planning for dose bath reduction in robotic radiosurgery for benign tumors.个体化自动化计划用于良性肿瘤机器人放射外科中的剂量浴减少。
PLoS One. 2019 Feb 6;14(2):e0210279. doi: 10.1371/journal.pone.0210279. eCollection 2019.
5
First fully automated planning solution for robotic radiosurgery - comparison with automatically planned volumetric arc therapy for prostate cancer.首例机器人放射外科手术全自动化计划解决方案 - 与前列腺癌容积弧形调强放疗的自动计划比较。
Acta Oncol. 2018 Nov;57(11):1490-1498. doi: 10.1080/0284186X.2018.1479068. Epub 2018 Jul 2.
6
Improve dosimetric outcome in stage III non-small-cell lung cancer treatment using spot-scanning proton arc (SPArc) therapy.使用螺旋扫描质子治疗改善 III 期非小细胞肺癌的剂量学结果。
Radiat Oncol. 2018 Feb 27;13(1):35. doi: 10.1186/s13014-018-0981-6.
7
CyberKnife with integrated CT-on-rails: System description and first clinical application for pancreas SBRT.CyberKnife 配备轨道式 CT:胰腺 SBRT 的系统描述和初步临床应用。
Med Phys. 2017 Sep;44(9):4816-4827. doi: 10.1002/mp.12432. Epub 2017 Aug 2.
8
Characteristics and performance of the first commercial multileaf collimator for a robotic radiosurgery system.用于机器人放射外科系统的首款商用多叶准直器的特性与性能
Med Phys. 2016 May;43(5):2063. doi: 10.1118/1.4944740.
9
Improved robotic stereotactic body radiation therapy plan quality and planning efficacy for organ-confined prostate cancer utilizing overlap-volume histogram-driven planning methodology.利用重叠体积直方图驱动的计划方法,提高局限于器官的前列腺癌的机器人立体定向体部放射治疗计划质量和计划效能。
Radiother Oncol. 2014 Aug;112(2):221-6. doi: 10.1016/j.radonc.2014.07.009. Epub 2014 Aug 6.
10
Improving plan quality and consistency by standardization of dose constraints in prostate cancer patients treated with CyberKnife.通过规范 CyberKnife 治疗前列腺癌患者的剂量限制来提高计划质量和一致性。
J Appl Clin Med Phys. 2013 Sep 6;14(5):162-72. doi: 10.1120/jacmp.v14i5.4333.