基于基准点方法的在线质子治疗计划再优化策略和规划约束不可行性问题的新解决方案
Zihang Qiu1,2, Nicolas Depauw2, Bram L Gorissen3,4
1Department of Business Analytics, University of Amsterdam, Amsterdam, The Netherlands.
Physics in medicine and biology
|May 10, 2024
概括
为在线自适应性质子疗法重新优化开发了一种新的自动化策略,快速创建高质量的治疗计划. 这种方法有效地处理计划约束问题,确保及时有效的适应性辐射疗法.
科学领域:
- 医学物理 医学物理
- 辐射瘤学 辐射瘤学
- 计算生物学 计算生物学
背景情况:
- 在线适应性质子疗法需要快速重新优化治疗计划,以考虑到解剖学变化.
- 现有的方法面临着规划约束不可行性的挑战,延长了重新优化时间.
- 需要自动化策略来提高适应性放射治疗的效率和质量.
研究的目的:
- 为在线自适应质子疗法提出高度自动化的治疗计划再优化策略.
- 开发一种快速重新优化方法,从而产生高质量的重新规划.
- 为了有效地解决规划约束不可行性的问题.
主要方法:
- 开发了一个系统的参考点方法 (RPM) 模型,以最大限度地减少每日目标空间与初始计划的偏差.
- 制定了一个优化问题,以根据规模和临床优先级估计和代地放松基于规模和临床优先级的计划约束违规行为.
- 该策略在头和乳腺癌患者病例中进行了测试.
主要成果:
- 基于RPM的策略为头和乳腺癌患者在线时间限制内产生了可比于线下手动重新计划的重新计划.
- 在RPM和离线重新规划之间,目标D95和风险器官节省参数的平均差异是最小的.
- 约束放松解决方案解决了所有受影响患者的一轮不可行性问题.
结论:
- 拟议的基于RPM的再优化策略对于在线自适应性质子疗法是有效的.
- 该方法在处理复杂的案例方面表现出了强度,包括那些限制不可行的案例.
- 这种方法促进了高效和高质量的适应性治疗规划.
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