快速点序优化,提高扫描粒子疗法 FLASH 治疗的剂量率

Viktor Wase, Oscar Widenfalk, Rasmus Nilsson, Claes Fälth, Albin Fredriksson
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引用次数: 0

摘要

超高剂量率照射(FLASH 放射疗法)的出现在减少毒性的同时保持肿瘤控制方面显示出了巨大的潜力。然而,要将这些优势转化为临床疗效,必须采用高效的治疗计划策略。本研究介绍了一种利用旅行推销员问题(TSP)启发式优化质子疗法以达到 FLASH 效果的新方法。我们应用这些启发式方法优化了 26 例前列腺癌患者治疗计划中质子点的排列,并与传统排序方法和全局优化技术进行了性能比较。结果表明,基于 TSP 的启发式方法显著提高了 FLASH 的覆盖率,其程度与全局优化技术相同,但计算时间从几小时缩短到几秒。这种方法为提高FLASH疗法的有效性提供了一种实用且可扩展的解决方案,为更有效和个性化的癌症治疗铺平了道路。未来的工作重点是进一步优化运行时间,并在临床环境中验证这些方法。
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Fast Spot Order Optimization to Increase Dose Rates in Scanned Particle Therapy FLASH Treatments
The advent of ultra-high dose rate irradiation, known as FLASH radiation therapy, has shown promising potential in reducing toxicity while maintaining tumor control. However, the clinical translation of these benefits necessitates efficient treatment planning strategies. This study introduces a novel approach to optimize proton therapy for FLASH effects using traveling salesperson problem (TSP) heuristics. We applied these heuristics to optimize the arrangement of proton spots in treatment plans for 26 prostate cancer patients, comparing the performance against conventional sorting methods and global optimization techniques. Our results demonstrate that TSP-based heuristics significantly enhance FLASH coverage to the same extent as the global optimization technique, but with computation times reduced from hours to a few seconds. This approach offers a practical and scalable solution for enhancing the effectiveness of FLASH therapy, paving the way for more effective and personalized cancer treatments. Future work will focus on further optimizing run times and validating these methods in clinical settings.
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