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An end-to-end assessment on the accuracy of adaptive radiotherapy in an MR-linac
Physics in Medicine & Biology ( IF 3.5 ) Pub Date : 2021-02-25 , DOI: 10.1088/1361-6560/abe053
A Axford 1, 2 , N Dikaios 1 , D A Roberts 3 , C H Clark 2, 4, 5 , P M Evans 1, 2
Affiliation  

Purpose. To develop and demonstrate an end-to-end assessment procedure for adaptive radiotherapy (ART) within an MR-guided system. Methods and materials. A 3D printed pelvic phantom was designed and constructed for use in this study. The phantom was put through the complete radiotherapy treatment chain, with planned internal changes made to model prostate translations and shape changes, allowing an investigation into three ART techniques commonly used. Absolute dosimetry measurements were made within the phantom using both gafchromic film and alanine. Comparisons between treatment planning system (TPS) calculations and measured dose values were made using the gamma evaluation with criteria of 3 mm/3% and 2 mm/2%. Results. Gamma analysis evaluations for each type of treatment plan adaptation investigated showed a very high agreement with pass rates for each experiment ranging from 98.10% to 99.70% and 92.60% to 97.55%, for criteria of 3%/3 mm and 2%/2 mm respectively. These pass rates were consistent for both shape and position changes. Alanine measurements further supported the results, showing an average difference of 1.98% from the TPS. Conclusion. The end-to-end assessment procedure provided demanding challenges for treatment plan adaptations to demonstrate the capabilities and achieved high consistency in all findings.



中文翻译:

MR-直线加速器自适应放射治疗准确性的端到端评估

目的。在 MR 引导系统内开发和演示自适应放射治疗 (ART) 的端到端评估程序。方法和材料。设计和构建了一个 3D 打印的骨盆模型,用于本研究。该体模通过了完整的放射治疗链,并计划进行内部更改以模拟前列腺平移和形状变化,从而可以对三种常用的 ART 技术进行调查。使用 gafchromic 薄膜和丙氨酸在体模内进行绝对剂量测量。治疗计划系统 (TPS) 计算和测量的剂量值之间的比较使用伽马评估进行,标准为 3 mm/3% 和 2 mm/2%。结果。所研究的每种治疗计划适应类型的伽马分析评估显示,对于 3%/3 毫米和 2%/2 毫米的标准,每个实验的通过率非常高,范围从 98.10% 到 99.70% 和 92.60% 到 97.55%分别。这些通过率对于形状和位置变化都是一致的。丙氨酸测量进一步支持了结果,显示与 TPS 的平均差异为 1.98%。结论。端到端评估程序为调整治疗计划提供了严峻的挑战,以证明能力并在所有发现中实现高度一致性。

更新日期:2021-02-25
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