在质子疗法中使用CT on Rails进行每日剂量分配的在线审查的自动化框架
Christian Dial1, Geoff Nelson1, Vikren Sarkar1
1Department of Radiation Oncology, University of Utah, 1950 Circle of Hope, Salt Lake City, UT, 84112, USA.
概括
本研究提出了一个自动化框架来计算每日质子疗法剂量分布,使得快速的在线评估. 该系统有助于检测变化,指导患者的设置,并为改善质子治疗结果的治疗决策提供信息.
科学领域:
- 医学物理 医学物理
- 辐射瘤学 辐射瘤学
- 图像指导疗法是指导图像的疗法.
背景情况:
- 质子疗法提供精确的剂量输送,但需要精确的每日质量保证.
- 在线评估每日剂量分布对于适应性治疗规划至关重要.
研究的目的:
- 开发和验证在质子疗法中自动化日剂量计算的框架.
- 通过CT-on-Rails在临床上相关的时间框架内对剂量分配进行在线评估.
主要方法:
- 自动化每日剂量计算工作流程,集成刚性和可变形图像记录.
- 从端到端的幻影常数测试和处理来自10名患者的97个每日CT数据集.
- 评估在线评估的处理时间和剂量测量差异.
主要成果:
- 自动化框架在62秒内完成了幻影测试,没有剂量差异.
- 97个患者图像的平均处理时间为154.6秒,剂量计算占这一时间的35%.
- 目标轮的平均D95差异为1.5%,表明在线评估的高精度.
结论:
- 在质子疗法中,自动日剂量计算在适合在线评估的时间框架内是可行的.
- 在线剂量评估有助于检测临床相关的变化,帮助治疗指导和重新规划决策.
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