用CMS XiO和MONACO治疗计划系统对4MV,6MV和15MV光束能量进行不同算法的剂量测量评估:一个机构研究
Ajay Katake1,2, Lalit Kumar3, Balbir Singh4
1Department of Physics, Lovely Professional University, Phagwara, India.
Asian Pacific journal of cancer prevention : APJCP
|December 29, 2024
概括
与其他治疗计划系统算法相比,蒙特卡洛 (MC) 算法在不均的介质中对剂量计算具有更高的准确性. 这项研究验证了MC作为放射治疗规划的首选方法,特别是低密度异质性.
科学领域:
- 医学物理 医学物理
- 辐射瘤学 辐射瘤学
- 计算剂量计计算剂量计.
背景情况:
- 精确的剂量计算在放射治疗中至关重要.
- 不同质的介质对传统的剂量计算算法构成挑战.
- 治疗计划系统 (TPS) 使用各种算法来计算剂量.
研究的目的:
- 评估和比较不同剂量计算算法的剂量计准确性.
- 用特定的光子束能量在不均的介质中评估算法性能.
- 在CMS XiO和MONACO治疗计划系统中验证算法.
主要方法:
- 使用不同厚度的聚烯泡块创建的不均的幻影.
- 幻影的CT扫描以模拟现实的组织密度.
- 使用卷积 (C),叠加 (S),快速叠加 (FS),倒塌圆卷积 (CCC) 和蒙特卡洛 (MC) 算法进行剂量计算.
- 离子室测量用于实验剂量验证.
主要成果:
- 蒙特卡洛 (MC) 算法证明了与不同领域大小和光子能量的离子室测量结果的最佳一致性.
- 与CCC,C,FS和S算法相比,MC的百分比最大偏差 (PMD) 始终较低.
- 即使增加空气间隙 (不均质) 厚度,MC算法也显示出强大的性能.
结论:
- 蒙特卡洛 (MC) 算法是不均质介质中剂量计算中最准确的.
- 与其他算法相比,MC 与实验测量提供了更好的协议.
- 推MC用于放射治疗的临床应用,特别是复杂的异质场景.
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