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通过应用一种新颖的商业工具来限制治疗计划的复杂性。

Limiting treatment plan complexity by applying a novel commercial tool.

机构信息

Medical Physics Department, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.

Radiation Oncology Department, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.

出版信息

J Appl Clin Med Phys. 2020 Aug;21(8):27-34. doi: 10.1002/acm2.12908. Epub 2020 May 21.

Abstract

PURPOSE

A recently introduced commercial tool is tested to assess whether it is able to reduce the complexity of a treatment plan and improve deliverability without compromising overall quality.

METHODS

Ten prostate and ten oropharynx plans of previously treated patients were reoptimized using the aperture shape controller (ASC) tool recently introduced in Eclipse TPS (Varian Medical Systems, Palo Alto, CA). The performance of ASC was assessed in terms of the overall plan quality using a plan quality metric, the reduction in plan complexity through the analysis of 14 of the most common plan complexity metrics, and the change in plan deliverability through 3D dosimetric measurements. Similarly, plans optimized limiting the total number of delivered monitor units was assessed and compared. The two strategies were also combined to assess their potential combination.

RESULTS

The plans optimized by exploiting the ASC generally show a reduced number of total Monitor Units, a more constant gantry rotation and a MLC modulation characterized by larger and less complicated shapes with leaves traveling shorter overall lengths.

CONCLUSIONS

This first experience suggests that the ASC is an effective tool to reduce the unnecessary complexity of a plan. This turns into an increased plan deliverability with no loss of plan quality.

摘要

目的

测试一种新引入的商业工具,评估其是否能够在不降低整体质量的情况下降低治疗计划的复杂性并提高可交付性。

方法

使用最近在 Eclipse TPS(Varian Medical Systems,Palo Alto,CA)中引入的孔径形状控制器(ASC)工具,重新优化了 10 例前列腺和 10 例口咽病例的治疗计划。通过分析 14 种最常见的计划复杂性指标,评估 ASC 的性能,通过 3D 剂量学测量评估计划交付能力的变化,使用计划质量指标评估整体计划质量的变化。同样,评估并比较了通过限制总监测器单位数量来优化计划的性能。还将这两种策略结合起来,评估它们的潜在组合。

结果

利用 ASC 优化的计划通常显示出总监测器单位数量减少,机架旋转更稳定,以及 MLC 调制具有更大、更简单的形状,叶片总长度更短。

结论

这是首次经验表明,ASC 是一种有效的工具,可以降低计划的不必要复杂性。这转化为计划交付能力的提高,而不会降低计划质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ce8/7484888/19c72350c78e/ACM2-21-27-g001.jpg

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