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AAA和AXB剂量计算算法在直肠瘤VMAT治疗规划中的剂量测量影响

Karthikeyan Srinivasan^1,2, Sureka Chandrasekaran Sekaran¹, Suresh Thangavelu^1,2

¹Department of Medical Physics, Bharathiyar University, Coimbatore, Tamil Nadu, India.

Journal of medical physics

|April 21, 2025

概括

该acuros XB (AXB) 算法显示出优越的准确性超过无otropic分析算法 (AAA) 的直肠癌放射治疗规划. AXB提供了更可靠的剂量计算,用于规划目标体积和处于风险中的器官.

科学领域:

医学物理医学物理
辐射瘤学辐射瘤学

背景情况:

精确的剂量计算对于有效的放射治疗计划至关重要.
由于附近的关键结构,直肠瘤在放射治疗中存在独特的挑战.

研究的目的:

为了比较Anisotropic Analytical Algorithm (AAA) 和acuros XB (AXB) 剂量计算算法的准确性.
为了评估直肠癌放射治疗计划中的剂量测量差异.

主要方法:

20个直肠癌患者计划的回顾性分析.
用AAA计算并用AXB重新计算的VMAT计划的比较.
评估了剂量计参数和马分析 (3%/3毫米,2%/2毫米).

主要成果:

与AXB相比,AAA可能会高估剂量到规划目标体积 (PTV) 和有风险的器官 (OAR).
平均肠道剂量与AAA略低 (P=0.013),但其他OAR剂量较高.
在两种算法之间的马分析参数中观察到显著的变化.

结论:

与直肠癌放射治疗的AAA相比,acuros XB (AXB) 算法显示出更高的剂量计算精度.
在这种患者群体中,AXB为治疗计划提供了更可靠的方法.

关键词:

阿库罗斯XB公司不同类型的分析算法日食计划系统的计划系统.癌症直肠癌直肠癌是什么

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