Suppr超能文献

研究孔径形状控制器在 VMAT 治疗输送中的应用。

Investigating the use of aperture shape controller in VMAT treatment deliveries.

机构信息

ICON Cancer Centres, North Lakes, Australia; Queensland University of Technology, Brisbane, Australia.

ICON Cancer Centres, Springfield, Australia.

出版信息

Med Dosim. 2020;45(3):284-292. doi: 10.1016/j.meddos.2020.02.003. Epub 2020 Mar 26.

Abstract

BACKGROUND

Aperture shape controller (ASC) is a recently introduced leaf sequencer that controls the complexity of multileaf collimator apertures in the Photon Optimizer algorithm of the Eclipse treatment planning system. The aim of this study is to determine if the ASC can reduce plan complexity and improve verification results, without compromising plan quality.

METHODS

Thirteen plans grouped into cohorts of head and neck/brain, breast/chest and pelvis were reoptimised using the same optimization as the non-ASC setting for low, moderate and high ASC settings. These plans were analyzed using plan quality indices such as the conformity index and homogeneity index in addition to dose-volume histogram based analysis on PTVs and organ at risks. Complexity assessments were performed using metrics such as average leaf pair opening, modulation complexity scores, relative monitor units (MU) and treatment time. Monitor unit per gantry angle variations were also analyzed. A third-party algorithm was also used to assess 3D dose distributions produced using the new leaf sequencer tool. Deliverability for the final multileaf collimator distribution was quantified using portal dose image prediction based gamma analysis.

RESULTS

Plan conformality assessments showed comparable results and no significant plan degradation for plans reoptimised using ASC. Reduction in overall MU distributions were seen in some cases using higher ASC however, no overall trends were observed. In general, treatment deliverability, assessed using gamma analysis did not improve drastically however MU per degree distribution in 1 case improved when reoptimised using ASC. Treatment MUs generally reduced when ASC settings were used whilst in 1 case an increase in the treatment time factor > 1.8 was observed. The third-party algorithm assessment showed an underestimation of dose calculations for all cohorts used in this study when a higher ASC setting is used.

CONCLUSIONS

The impact of using ASC in treatment plans was characterised in this study. Although plan complexity marginally improved when using higher ASC settings, no consensus could be reached based on metrics analyzed in this study. A reduction in MU distribution was observed with increasing ASC settings in most cases. This study recommends that ASC to be used as an additional tool only to test its suitability to reduce plan complexity.

摘要

背景

孔径形状控制器(ASC)是最近引入的一种叶片序列器,用于控制 Eclipse 治疗计划系统中 Photon Optimizer 算法中的多叶准直器孔径的复杂性。本研究旨在确定 ASC 是否可以在不影响计划质量的情况下降低计划复杂性并改善验证结果。

方法

将 13 个分组为头颈部/脑部、乳房/胸部和骨盆的计划,使用与非 ASC 设置相同的优化方法,针对低、中、高 ASC 设置进行重新优化。使用计划质量指数(如适形性指数和均匀性指数)以及 PTV 和危及器官的剂量-体积直方图分析,对这些计划进行了分析。使用平均叶片对开度、调制复杂度评分、相对 MU 和治疗时间等指标进行复杂性评估。还分析了每个龙门角度的 MU 变化。还使用第三方算法评估了使用新叶片序列器工具生成的 3D 剂量分布。使用基于端口剂量图像预测的伽马分析来量化最终多叶准直器分布的可传递性。

结果

计划适形性评估表明,使用 ASC 重新优化的计划结果相当,没有明显的计划降级。在某些情况下,使用更高的 ASC 会导致整体 MU 分布减少,但没有观察到总体趋势。一般来说,使用伽马分析评估的治疗可传递性没有明显改善,但在 1 个病例中,当使用 ASC 重新优化时,MU 每度分布有所改善。在使用 ASC 设置时,治疗 MU 通常会减少,而在 1 个病例中观察到治疗时间因子增加>1.8。第三方算法评估表明,当使用更高的 ASC 设置时,该算法对本研究中使用的所有队列的剂量计算都存在低估。

结论

本研究对使用 ASC 对治疗计划的影响进行了描述。尽管在使用更高的 ASC 设置时,计划复杂性略有改善,但根据本研究分析的指标,还没有达成共识。在大多数情况下,随着 ASC 设置的增加,MU 分布减少。本研究建议将 ASC 仅用作辅助工具,以测试其降低计划复杂性的适用性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验