将基于Live EPID的灵感水平评估 (LEILA) 转化为临床实践
Jose A Baeza-Ortega1, Natalie Kong2, Jane Ludbrook3
1School of Information and Physical Sciences, University of Newcastle, Newcastle, Australia.
概括
莱拉系统通过使用电子门户成像设备 (EPID) 图像进行实时内部解剖学监测,增强了深呼吸喘息 (DIBH) 乳房放射治疗. 这种临床准备的应用程序提高了准确性和可重复性,工作量最小.
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:
- 深呼吸喘息 (DIBH) 对于最大限度地减少患者运动和减少乳腺放射治疗期间风险器官的辐射暴露至关重要.
- 有效的DIBH依赖于患者的一致的呼吸模式,通常使用外部替代品进行监测.
- 在DIBH期间实时验证内部解剖学对于准确的治疗提供至关重要.
研究的目的:
- 描述LEILA系统的开发和实施,这是DIBH乳腺放射治疗的实时验证工具.
- 使用电子门户成像设备 (EPID) 图像来监测DIBH期间的内部解剖.
- 建立LEILA作为一个临床准备的应用程序,以提高DIBH准确性和可重复性.
主要方法:
- 莱拉系统采用流动模型,在治疗计划期间预测EPID图像,估计肺深度 (LDs) 和皮肤距离 (SDs).
- 在治疗过程中,获得EPID图像,并实时量化LD和SD的差异.
- 一项试点研究通过监测DIBH以及现有的运动管理策略来验证LEILA系统的可行性.
主要成果:
- 该LEILA系统成功地部署在Varian TrueBeam线性加速器上,具有aS1200 EPID,显示低延迟 (平均图像处理时间为74.0毫秒).
- 对17个监控光束的分析显示,肺部中部深度和皮肤距离的平均差异分别为-1.2mm±3.1mm和1.5mm±4.1mm.
- 该系统有效量化DIBH期间内部解剖学的偏差.
结论:
- 莱拉系统提供了一种简化,自动化的工作流程,满足临床需求,对医疗保健专业人员的额外工作负载最小.
- 莱拉准确评估DIBH的准确性和可重复性,对偏差提供即时反.
- 该系统提供了回顾性见解,可用于改进DIBH监测策略,以改善患者的治疗结果.
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