• 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

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

Performance assessment of a new optimization system for robotic SBRT MLC-based plans.

作者信息

Calusi Silvia, Doro Raffaela, Di Cataldo Vanessa, Cipressi Samantha, Francolini Giulio, Bonucci Ivano, Livi Lorenzo, Masi Laura

机构信息

IFCA Radiotherapy and Medical Physics Unit, Via del Pergolino, 1, 50139 Florence, Italy; AOU Careggi Medical Physics Unit, Largo Brambilla, 3, 50134 Florence, Italy.

IFCA Radiotherapy and Medical Physics Unit, Via del Pergolino, 1, 50139 Florence, Italy.

出版信息

Phys Med. 2020 Mar;71:31-38. doi: 10.1016/j.ejmp.2020.02.009. Epub 2020 Feb 20.

DOI:10.1016/j.ejmp.2020.02.009
PMID:32088563
Abstract

PURPOSE

To assess the performance of a new optimization system, VOLO, for CyberKnife MLC-based SBRT plans in comparison with the existing Sequential optimizer.

METHODS

MLC-plans were created for 25 SBRT cases (liver, prostate, pancreas and spine) using both VOLO and Sequential. Monitor units (MU), delivery time (DT), PTV coverage, conformity (nCI), dose gradient (R50%) and OAR doses were used for comparison and combined to obtain a mathematical score (MS) of plan quality for each solution. MS strength was validated by changing parameter weights and by a blinded clinical plan evaluation. The optimization times (OT) and the average segment areas (SA) were also compared.

RESULTS

VOLO solutions offered significantly lower mean DT (-19%) and MU (-13%). OT were below 15 min for VOLO, whereas for Sequential, values spanned from 8 to 160 min. SAs were significantly larger for VOLO: on average 10 cm versus 7 cm. VOLO optimized plans achieved a higher MS than Sequential for all tested parameter combinations. PTV coverage and OAR sparing were comparable for both groups of solutions. Although slight differences in R50% and nCI were found, the parameters most affecting MS were MU and DT. VOLO solutions were selected in 80% of cases by both physicians with 88% inter-observer agreement.

CONCLUSIONS

The good performance of the VOLO optimization system, together with the large reduction in OT, make it a useful tool to improve the efficiency of CK SBRT planning and delivery. The proposed methodology for comparing different planning solutions can be applied in other contexts.

摘要

目的

评估一种新的优化系统VOLO在基于射波刀多叶准直器(MLC)的立体定向体部放疗(SBRT)计划中的性能,并与现有的顺序优化器进行比较。

方法

使用VOLO和顺序优化器为25例SBRT病例(肝脏、前列腺、胰腺和脊柱)创建MLC计划。比较监测单位(MU)、交付时间(DT)、计划靶体积(PTV)覆盖率、适形度(nCI)、剂量梯度(R50%)和危及器官(OAR)剂量,并将其综合以获得每个方案的计划质量数学评分(MS)。通过改变参数权重和进行盲法临床计划评估来验证MS强度。还比较了优化时间(OT)和平均射野面积(SA)。

结果

VOLO方案的平均DT显著降低(-19%),MU显著降低(-13%)。VOLO的OT低于15分钟,而顺序优化器的OT为8至160分钟。VOLO的SA显著更大:平均为10 cm,而顺序优化器为7 cm。对于所有测试的参数组合,VOLO优化的计划比顺序优化器获得更高的MS。两组方案的PTV覆盖率和对OAR的保护相当。尽管在R50%和nCI方面发现了细微差异,但对MS影响最大的参数是MU和DT。两位医生在80%的病例中选择了VOLO方案,观察者间一致性为88%。

结论

VOLO优化系统的良好性能,以及OT的大幅减少,使其成为提高射波刀SBRT计划和实施效率的有用工具。所提出的比较不同计划方案的方法可应用于其他情况。

相似文献

1
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.
2
Robotic MLC-based plans: A study of plan complexity.基于机器人多叶准直器的计划:计划复杂性研究。
Med Phys. 2021 Mar;48(3):942-952. doi: 10.1002/mp.14667. Epub 2021 Jan 21.
3
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.
4
Investigating the clinical advantages of a robotic linac equipped with a multileaf collimator in the treatment of brain and prostate cancer patients.研究配备多叶准直器的机器人直线加速器在治疗脑癌和前列腺癌患者中的临床优势。
J Appl Clin Med Phys. 2015 Sep 8;16(5):284–295. doi: 10.1120/jacmp.v16i5.5502.
5
CyberKnife MLC-based treatment planning for abdominal and pelvic SBRT: Analysis of multiple dosimetric parameters, overall scoring index and clinical scoring.基于 CyberKnife MLC 的腹部和盆腔 SBRT 治疗计划:多个剂量学参数、总体评分指数和临床评分的分析。
Phys Med. 2018 Dec;56:25-33. doi: 10.1016/j.ejmp.2018.11.012. Epub 2018 Nov 21.
6
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.
7
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.
8
Knowledge-based plan optimization for prostate SBRT delivered with CyberKnife according to RTOG0938 protocol.基于知识的计划优化,用于根据 RTOG0938 协议使用 CyberKnife 进行前列腺 SBRT。
Phys Med. 2023 Jun;110:102606. doi: 10.1016/j.ejmp.2023.102606. Epub 2023 May 15.
9
Potential reduction of lung dose via VMAT with jaw tracking in the treatment of single-isocenter/two-lesion lung SBRT.通过 VMAT 联合下颌追踪技术降低单弧双病灶立体定向放疗中肺剂量的研究。
J Appl Clin Med Phys. 2019 May;20(5):55-63. doi: 10.1002/acm2.12580. Epub 2019 Apr 5.
10
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.

引用本文的文献

1
Dosimetric comparison of M6 CyberKnife plans optimized with Precision and RayStation 12A treatment planning systems.使用Precision和RayStation 12A治疗计划系统优化的M6射波刀计划的剂量学比较。
J Appl Clin Med Phys. 2025 Mar;26(3):e14585. doi: 10.1002/acm2.14585. Epub 2024 Dec 19.
2
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.
3
Preoperative robotic radiosurgery for early breast cancer: Results of the phase II ROCK trial (NCT03520894).
早期乳腺癌的术前机器人放射外科治疗:II期ROCK试验(NCT03520894)结果
Clin Transl Radiat Oncol. 2022 Sep 22;37:94-100. doi: 10.1016/j.ctro.2022.09.004. eCollection 2022 Nov.
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
Implementing and evaluating a high-resolution diode array for patient-specific quality assurance of robotic brain stereotactic radiosurgery/radiotherapy.实施和评估高分辨率二极管阵列,以实现机器人脑立体定向放射外科/放射治疗的患者特异性质量保证。
J Appl Clin Med Phys. 2022 May;23(5):e13569. doi: 10.1002/acm2.13569. Epub 2022 Mar 12.
6
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.
7
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.