合成计算机断层扫描技术用于头癌的适应性质子疗法
Suryakant Kaushik1,2,3, Nadine Vatterodt4,5, Jakob Ödén1
1RaySearch Laboratories AB (Publ), Stockholm, Sweden.
Physics and imaging in radiation oncology
|October 27, 2025
概括
评估了三种合成CT方法,用于头部和部 (HN) 放射治疗的适应性规划. 所有方法都被证明适用于质子剂量重新计算,而解剖学保存的虚拟CT显示了更好的准确性.
科学领域:
- 医学物理 医学物理
- 放射疗法是一种放射治疗.
- 图像处理 图像处理
背景情况:
- 头部和部 (HN) 放射治疗经常需要因解剖学变化而进行适应性规划.
- 形光束CT (CBCT) 经常用于适应性规划,但其图像质量可能不足以计算剂量.
- 准确的患者成像对于有效和安全的放射治疗提供至关重要.
研究的目的:
- 评估三种不同的方法,从CBCT数据生成合成计算机断层扫描 (CT) 图像,用于适应性HN放射治疗规划.
- 将这些合成CT方法的准确性与传统CT扫描进行比较.
- 评估合成CT图像对于强大优化的质子疗法剂量再计算的适用性.
主要方法:
- 三种合成CT生成方法应用于15名HN癌症患者的CBCT数据.
- 解剖学维护虚拟CT (APvCT) 使用危险器官作为变形控制.
- 在合成CT数据集上重新计算了质子疗法计划,并与重复CT扫描中的计划进行了比较.
主要成果:
- 与纠正后的CBCT相比,APvCT和传统的虚拟CT方法在CT数值中的平均绝对误差较低.
- 所有评估的合成CT方法在质子剂量重新计算方面都实现了高马射线合格率 (>96.7%以2%/2mm标准).
- 合成CT图像被认为适合适应性质子疗法规划.
结论:
- 合成CT生成是一种可行的方法,用于使用CBCT进行适应性头部放射治疗计划.
- 解剖学维护虚拟CT方法显示了在合成CT生成中提高准确性的承诺.
- 这些发现支持在适应性质子疗法工作流程中使用合成CT,以提高治疗精度.
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