Analysis of prostate intensity- and volumetric-modulated arc radiation therapy planning quality with PlanIQ(TM)

利用 PlanIQ(TM) 分析前列腺强度和容积调强弧形放射治疗计划质量

阅读:1

Abstract

PURPOSE: The purpose of this study was to assess the quality of treatment planning using the PlanIQ(TM) software and to investigate whether it is possible to improve the quality of treatment planning using the "Feasibility dose-volume histogram (DVH)(TM) " implemented in the PlanIQ(TM) software. METHODS: Using the PlanIQ(TM) software, we retrospectively analyzed the learning curve regarding the quality of the treatment plans for 148 patients of prostate intensity-modulated radiation therapy and volumetric-modulated radiation therapy performed at our institution over the past eight years. We also sought to examine the possibility of improving treatment planning quality by re-planning in 47 patients where the quality of the target dose and the dose limits for organs at risk (OARs) were inadequate. The re-planning treatment plans referred to the Feasibility DVH(TM) implemented in the PlanIQ(TM) software and modified the treatment planning system based on the target dose and OAR constraints. RESULTS: Analysis of the learning curve of the treatment plans quality using PlanIQ(TM) software retrospectively showed a trend of improvement in the treatment plan quality from year to year. The improvement in the treatment plans quality was more influenced by dose reduction in the OARs than by target coverage. In all cases where re-planning was performed, the improvement in the treatment plan's quality resulted in a better treatment plan than the one adopted for delivery to patients in the clinical plan. CONCLUSIONS: The PlanIQ(TM) provided insights into the quality of the treatment plans at our institution and identified problems and areas for improvement in the treatment plans, allowing for the development of appropriate treatment plans for specific patients.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。