距离补偿铅笔束扫描质子弧治疗的可行性研究。

Blake R Smith, Ryan T Flynn, Alonso N Gutiérrez, Daniel E Hyer
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引用次数: 0

摘要

质子弧治疗是质子治疗中的一种概念性治疗技术,当龙门在患者周围旋转时,同时提供扫描的质子铅笔束,利用连续弧的几何优势和质子的剂量学优势,最大限度地保留健康组织。在这里,我们提出了一种替代方法来提供铅笔束扫描(PBS)质子弧治疗,使用一种称为SpeleoFilter的光束修改装置。与传统的多场强度调制质子治疗(IMPT)相比,SpeleoFilters可以通过减少光束能量和光束光斑的数量来提高质子弧的治疗效率,同时保持计划质量。提出的spelefilter框架在迈阿密癌症研究所的最先进的PBS准直器和IBA专用喷嘴PBS系统中进行了验证。在这项工作中开发的蒙特卡罗方法与实验测量结果非常一致,并且在1-2%/1 mm伽马标准内匹配深度剂量分布。与IMPT相比,使用SpeoleFilter的质子弧治疗可以节省相当的健康组织,并且在幻影和患者数据集上减少了数量级的能量层数。进一步的工作需要充分证明其在多个治疗部位的应用和临床整合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Range-compensated pencil beam scanning proton Arc therapy: a feasibility study.

Range-compensated pencil beam scanning proton Arc therapy: a feasibility study.

Range-compensated pencil beam scanning proton Arc therapy: a feasibility study.

Range-compensated pencil beam scanning proton Arc therapy: a feasibility study.

Proton arc therapy is a conceptual treatment technique in proton therapy that delivers a scanned proton pencil beam simultaneously as the gantry is rotated around the patient, exploiting the geometric advantages of a continuous arc with the dosimetric advantages of protons to maximize healthy tissue sparing. Here we propose an alternative approach to deliver pencil beam scanning (PBS) proton arc therapy using a beam-modifying device called a SpeleoFilter. SpeleoFilters can improve the treatment efficiency of proton arc by reducing the number of beam energies and beam spots while preserving the plan quality as compared to traditional multifield intensity modulated proton therapy (IMPT). The proposed SpeleoFilter framework was validated within a state-of-the art PBS collimator and IBA Dedicated Nozzle PBS system at the Miami Cancer Institute. The Monte Carlo methods developed in this work showed great agreement with experimental measurements and matched depth dose profiles within a 1-2%/1 mm gamma criteria. Proton arc treatments utilizing a SpeoleFilter resulted in comparable healthy tissue sparing and an order-of-magnitude reduction in the number of energy layers compared to IMPT for both phantom and patient datasets. Further work is necessary to fully demonstrate its application and clinical integration for multiple treatment sites.

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