Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan.
Toyo Medic Co.,Ltd, Tokyo, Japan.
J Appl Clin Med Phys. 2021 Apr;22(4):132-142. doi: 10.1002/acm2.13233. Epub 2021 Mar 25.
The purpose of this study was to assess the quality of treatment planning using the PlanIQ software and to investigate whether it is possible to improve the quality of treatment planning using the "Feasibility dose-volume histogram (DVH) " implemented in the PlanIQ software.
Using the PlanIQ 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 implemented in the PlanIQ software and modified the treatment planning system based on the target dose and OAR constraints.
Analysis of the learning curve of the treatment plans quality using PlanIQ 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.
The PlanIQ 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.
本研究旨在评估使用 PlanIQ 软件进行治疗计划的质量,并探讨是否可以通过在 PlanIQ 软件中实施“可行性剂量-体积直方图(DVH)”来提高治疗计划的质量。
我们使用 PlanIQ 软件,对过去 8 年来在我院进行的 148 例前列腺调强放疗和容积调强放疗患者的治疗计划质量进行了回顾性学习曲线分析。我们还试图通过在 47 例靶区剂量和危及器官(OAR)剂量限制不足的患者中重新计划,来检查提高治疗计划质量的可能性。重新计划的治疗计划参考了 PlanIQ 软件中实施的可行性 DVH,并根据靶区剂量和 OAR 限制修改了治疗计划系统。
使用 PlanIQ 软件对治疗计划质量的学习曲线进行回顾性分析,显示出治疗计划质量逐年提高的趋势。OAR 剂量减少对治疗计划质量的改善影响大于靶区覆盖率。在所有进行重新计划的病例中,治疗计划质量的改善导致了比临床计划中用于治疗患者的治疗计划更好的治疗计划。
PANIQ 为我们机构的治疗计划质量提供了深入了解,并确定了治疗计划中的问题和改进领域,从而为特定患者制定了适当的治疗计划。