在RapidPlan基于知识的规划系统中,通过使用多标准优化来确定最佳输出计划的库大小.
Subhra S Biswal1,2, Biplab Sarkar1,2, Monika Goyal2
1Department of Radiation Oncology, Apollo Multispeciality Hospitals, Kolkata, West Bengal-700054, India.
最少的权衡探索 (TO) 计划,只有20个,足以构建有效的RapidPlan (RP) 图书馆. 这一发现表明,构成计划的数量不会显著影响基于知识的规划中的剂量计输出质量.
科学领域:
- 辐射瘤学 辐射瘤学
- 医学物理 医学物理
- 放射治疗规划 放射治疗规划
背景情况:
- 放射治疗中的基于知识的规划 (KBP) 旨在自动化治疗计划的生成.
- 快速计划 (RP) 是一个KBP系统,利用以前创建的治疗计划的库.
- 为了有效的计划生成,这些图书馆的最佳大小尚未确定.
研究的目的:
- 确定构建一个RapidPlan (RP) 库所需的最小的权衡探索 (TO) 计划数量,以生成最佳的临床治疗计划.
- 评估图书馆规模对头癌和子宫癌治疗计划的剂量计结果的影响.
主要方法:
- 开发了两个RP模型用于HN和子宫部部位,每一个使用100个TO计划.
- 图书馆是使用 20,40,60,80 和 100 TO 计划的子集创建的.
- 用70名验证患者 (VP) 验证了治疗计划.
- 使用统计分析,将RP生成计划的剂量参数与TO计划 (TO_VP) 进行了比较.
主要成果:
- 从不同尺寸的RP库中生成的输出计划中观察到最小的和临床上无意义的剂量测量变化.
- 规划目标量 (PTV) 覆盖率在所有测试的图书馆大小中始终保持高.
- 有风险的器官 (OAR) 剂量变化通常在临床上可接受的范围内,只有少数例外.
结论:
- 在使用权衡探索时,RP库中构成图的数量对于实现最佳剂量计输出并不关键.
- 一个最佳的临床治疗计划可以使用一个图书馆组成的最少20个TO计划生成.
- 这项研究简化了建立KBP库的过程,而不会影响治疗计划的质量.
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