切割 - 排序 - 组算法,以有效地提供协同步进和射击质子弧疗法
Karsten K Wake1, Laura C Bennett2, Blake R Smith3
1Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Medical physics
|May 19, 2025
概括
一个新的切割排序组 (CSG) 算法显著加快了动态聚合质子弧疗法 (DC-PAT) 交付时间超过64%. 这种方法提高了效率,而不会影响计划的质量或稳定性,使DC-PAT更具临床可行性.
科学领域:
- 医学物理 医学物理
- 辐射瘤学 辐射瘤学
- 质子疗法是一种治疗方法.
背景情况:
- 质子弧疗法为合规治疗提供了增强的几何灵活性.
- 动态聚合系统 (DCS) 提高了目标一致性,并降低了正常组织剂量.
- 动态聚合质子弧疗法 (DC-PAT) 需要对临床工作流程进行高效的规划.
研究的目的:
- 开发和演示一个后处理算法,以提高DC-PAT交付效率.
- 在DC-PAT效率提升期间保持或提高计划质量.
主要方法:
- 基线DC-PAT计划是使用基因优化器为三个内病例创建的.
- 切割排序组 (CSG) 算法在后处理中被应用来修改计划.
- CSG涉及低重量控制点的移除,新能源层的分类和修剪器的重新配置.
主要成果:
- CSG算法将光束传递时间 (BDT) 减少了超过64% (10-14分钟).
- 计划质量得到维持,可比的PTV剂量覆盖率和对非目标剂量的最小影响.
- PTV D2%仍然低于处方的10%,同质性指数 (HI) 为0.09-0.12.
结论:
- CSG算法提供了一个简单的后处理解决方案,以提高DC-PAT的效率.
- 这种方法独立于所使用的治疗计划系统或优化算法.
- 降低BDT (略超过10分钟) 接近适合临床实施的水平.
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