用于最终用户验证可变形剂量积累不确定性建模工具的方法
John Kipritidis1, Alexandra Quinn1, Tomasz Morgas2
1Department of Radiation Oncology, Northern Sydney Cancer Center, Sydney, Australia.
Medical physics
|September 26, 2025
概括
本研究引入了可变形剂量积累 (DDA) 不确定性模型的临床验证方法,这对于适应性放射治疗至关重要. 拟议的序列确保了可靠的DDA不确定性工具对治疗决策的性能.
科学领域:
- 医学物理 医学物理
- 辐射疗法 辐射疗法
- 图像指导 图像指导
背景情况:
- 可变形剂量积累 (DDA) 不确定性模型对于通过量化可变形图像记录 (DIR) 错误来为放射治疗中的治疗决策提供信息至关重要.
- 目前对于临床医生在临床环境中验证这些DDA不确定性模型的指导是有限的.
研究的目的:
- 为DDA不确定性建模工具提出一个标准化的最终用户验证序列,作为一个验收测试.
- 利用现有的患者数据和临床治疗计划系统 (TPS) 来评估DDA的不确定性工具.
主要方法:
- 建议使用单个"固定"图像和"移动"图像的验证序列,模拟TPS中的分数DIR.
- 来自DDA不确定性工具的输出,包括空间和剂量不确定性,将重新导入TPS进行交叉检查.
- 评估涉及视觉和半定量评估 (基于点,基于DVH) 使用标准工具和供应商方程,考虑不同的DIR质量.
主要成果:
- 验证序列在使用临床膀病例的非临床工具上进行了证明.
- 在空间不确定性的情况下,在2个voxel内达成协议,在剂量不确定性的情况下,达成最多5%的处方剂量.
- 在具有可信变形和稳定的剂量梯度 (<5%/voxel) 的区域中证明可靠性.
结论:
- 随着DDA变得越来越普遍,DDA不确定性工具对适应性放射治疗越来越重要.
- 这项工作通过使用随时可用的临床工具正式化了最终用户验证过程.
- 确保可靠的DDA不确定性模型性能,以支持适应性治疗决策.
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