使用记分卡调整 Ethos 指令模板:自适应放射治疗个性化方法--宫颈剂量规划研究

IF 2.2 Q3 ONCOLOGY
Kareem Rayn MD , Anthony Magliari CMD , Ryan Clark CMD , Omar Rana BS , Kevin Moore PhD, CMD , Xenia Ray PhD
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引用次数: 0

摘要

目的 "自适应放射治疗个体化方法-宫颈 "临床试验使用预定义的临床指令模板(CDTs)结合 RapidPlan 剂量-体积直方图估算(DVHe)来指导 Ethos 治疗计划系统中的计划优化。剂量测定记分卡是一种评分工具,在医生准确表达完整的临床意图后,对计划质量的改进进行量化。据我们所知,这是第一项使用剂量计分卡工具来调整 Ethos CDT 以提高计划质量的研究。方法和材料使用迭代重新规划来修改 Ethos 1.1 中的 CDT 草案(CDT-1),以生成一个新的 CDT(CDT-2),与 CDT-1 相比,它能最大限度地提高临床共识计分卡的总分。CDT-2 已建立,并对建立和未建立 DVHe 的计划进行了比较。在 CDT-1 和 CDT-2 之间还比较了其他固定场强调制放射治疗射束几何形状,两者都使用了 DVHe。在对 2 个测试病例的 CDT-1 和 CDT-2 进行比较获得良好结果后,又对另外 10 个病例进行了回顾性确定和测试。与 DVHe 结合使用时,CDT-2 的效果略优于 CDT-1。采用 19 场几何形状时,计划质量进一步提高。在扩展分析中,CDT-2 在大多数情况下都比 CDT-1 获得了更高的分数,而 19 场方法则更胜一筹。优化和计算时间增加了 1.9 分钟,监测单位 (MU)/ 场减少了 44.4,而当场数从 9 个增加到 19 个时,光束开启时间增加了 2.8 分钟。使用 Ethos 1.1 维护版本 1 重新优化后,监测单位减少,分数变化很小。它还可以轻松评估其他计划参数(射束安排和 DVHe 的使用)对剂量学的影响,以确定最佳方法。使用经过微调的 CDT 可提高计划效率,减少机构间计划质量的差异,从而有利于锥形束计算机断层扫描引导的自适应放射治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Scorecards to Tune Ethos Directive Templates: An Adaptive Radiation Therapy Individualized Approach-Cervix Dosimetric Planning Study

Purpose

The Adaptive Radiation Therapy Individualized Approach-Cervix clinical trial uses predefined clinical directive templates (CDTs) combined with RapidPlan dose-volume histogram estimations (DVHe) to guide plan optimization in the Ethos treatment planning system. The dosimetric scorecard is a scoring tool that quantifies improvements in plan quality after physicians have precisely expressed their complete clinical intent. To our knowledge, this is the first study to use the dosimetric scorecard tool to tune an Ethos CDT to improve resulting plan quality.

Methods and Materials

Iterative replanning was used to modify the draft CDT (CDT-1) in Ethos 1.1 to generate a new CDT (CDT-2) that maximized the clinical consensus scorecard's total score compared with CDT-1. CDT-2 was established, and resulting plans were compared with and without a DVHe. Additional fixed field intensity modulated radiation therapy beam geometries were compared between CDT-1 and CDT-2, both with DVHe. After obtaining favorable results when comparing CDT-1 versus CDT-2 for 2 test cases, 10 additional cases were retrospectively identified and tested.

Results

CDT-2 reduced organ at risk doses without compromising planning target volume coverage in the initial test cases. When combined with DVHe, CDT-2 marginally outperformed CDT-1. Plan quality further improved with a 19-field geometry. In the expanded analysis, CDT-2 achieved higher scores than CDT-1 in most cases, with the 19-field approach showing superiority. Optimization and calculation time increased by 1.9 minutes, monitor unit (MU)/field decreased by 44.4, whereas beam-on time increased by 2.8 minutes when increasing fields to 19 from 9. Reoptimization with Ethos 1.1 Maintenance Release 1 resulted in decreased MU and minimal score changes.

Conclusions

The scorecard is an effective tool to adjust an Ethos CDT to improve the average calculated plan quality. It also allowed for easy evaluation of the dosimetric impact of other planning parameters (beam arrangements and use of DVHe) to identify the best approach. Using a finely tuned CDT is expected to improve planning efficiency and decrease intrainstitutional plan quality variability, benefiting cone beam computed tomography–guided adaptive radiation therapy.

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来源期刊
Advances in Radiation Oncology
Advances in Radiation Oncology Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
4.60
自引率
4.30%
发文量
208
审稿时长
98 days
期刊介绍: The purpose of Advances is to provide information for clinicians who use radiation therapy by publishing: Clinical trial reports and reanalyses. Basic science original reports. Manuscripts examining health services research, comparative and cost effectiveness research, and systematic reviews. Case reports documenting unusual problems and solutions. High quality multi and single institutional series, as well as other novel retrospective hypothesis generating series. Timely critical reviews on important topics in radiation oncology, such as side effects. Articles reporting the natural history of disease and patterns of failure, particularly as they relate to treatment volume delineation. Articles on safety and quality in radiation therapy. Essays on clinical experience. Articles on practice transformation in radiation oncology, in particular: Aspects of health policy that may impact the future practice of radiation oncology. How information technology, such as data analytics and systems innovations, will change radiation oncology practice. Articles on imaging as they relate to radiation therapy treatment.
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