在容积调强弧形治疗中使用分割治疗计划改进误差检测。
Improved error detection using a divided treatment plan in volume modulated arc therapy.
作者信息
Tarutani Kazuo, Tanooka Masao, Doi Hiroshi, Fujiwara Masayuki, Miyashita Masaki, Kagawa Kazufumi, Kamikonya Norihiko, Yamakado Koichiro
机构信息
Department of Radiology, Hyogo College of Medicine, 1-1 Mukogawa-cho, Nishinomiya, Hyogo 663-8501, Japan.
Japan Organization of Occupational Health and Safety Kansai Rousai Hospital, 3-1-69, Inabaso, Amagasaki, Hyogo 660-8511, Japan.
出版信息
Rep Pract Oncol Radiother. 2019 Mar-Apr;24(2):133-141. doi: 10.1016/j.rpor.2018.12.002. Epub 2019 Jan 21.
AIM
We sought to improve error detection ability during volume modulated arc therapy (VMAT) by dividing and evaluating the treatment plan.
BACKGROUND
VMAT involves moving a beam source delivering radiation to tumor tissue through an arc, which significantly decreases treatment time. Treatment planning for VMAT involves many parameters. Quality assurance before treatment is a major focus of research.
MATERIALS AND METHODS
We used an established VMAT prostate treatment plan and divided it into 12° × 30° sections. In all the sections, only image data that generated errors in one segment and those that were integrally acquired were evaluated by a gamma analysis. This was done with five different patient plans.
RESULTS
The integrated image data resulting from errors in each section was 100% (tolerance 0.5 mm/0.5%) in the gamma analysis result in all image data. Division of the treatment plans produced a shift in the mean value of each gamma analysis in the cranial, left, and ventral directions of 94.59%, 98.83%, 96.58%, and the discrimination ability improved.
CONCLUSION
The error discrimination ability was improved by dividing and verifying the portal imaging.
目的
我们试图通过分割和评估治疗计划来提高容积调强弧形放疗（VMAT）期间的误差检测能力。
背景
VMAT涉及通过弧形移动向肿瘤组织输送辐射的束源，这显著缩短了治疗时间。VMAT的治疗计划涉及许多参数。治疗前的质量保证是研究的主要重点。
材料与方法
我们使用一个既定的VMAT前列腺治疗计划，并将其分成12°×30°的部分。在所有部分中，仅对在一个段中产生误差的图像数据以及整体采集的图像数据进行伽马分析评估。对五个不同的患者计划进行了此项操作。
结果
在所有图像数据的伽马分析结果中，各部分误差产生的整合图像数据为100%（容差0.5毫米/0.5%）。治疗计划的分割使每个伽马分析在颅侧、左侧和腹侧方向的平均值分别偏移了94.59%、98.83%、96.58%，并且辨别能力得到了提高。
结论
通过分割和验证射野成像提高了误差辨别能力。
Zotero 插件