Viktor Wase, Oscar Widenfalk, Rasmus Nilsson, Claes Fälth, Albin Fredriksson
{"title":"快速点序优化,提高扫描粒子疗法 FLASH 治疗的剂量率","authors":"Viktor Wase, Oscar Widenfalk, Rasmus Nilsson, Claes Fälth, Albin Fredriksson","doi":"arxiv-2409.11794","DOIUrl":null,"url":null,"abstract":"The advent of ultra-high dose rate irradiation, known as FLASH radiation\ntherapy, has shown promising potential in reducing toxicity while maintaining\ntumor control. However, the clinical translation of these benefits necessitates\nefficient treatment planning strategies. This study introduces a novel approach\nto optimize proton therapy for FLASH effects using traveling salesperson\nproblem (TSP) heuristics. We applied these heuristics to optimize the\narrangement of proton spots in treatment plans for 26 prostate cancer patients,\ncomparing the performance against conventional sorting methods and global\noptimization techniques. Our results demonstrate that TSP-based heuristics\nsignificantly enhance FLASH coverage to the same extent as the global\noptimization technique, but with computation times reduced from hours to a few\nseconds. This approach offers a practical and scalable solution for enhancing\nthe effectiveness of FLASH therapy, paving the way for more effective and\npersonalized cancer treatments. Future work will focus on further optimizing\nrun times and validating these methods in clinical settings.","PeriodicalId":501378,"journal":{"name":"arXiv - PHYS - Medical Physics","volume":"29 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fast Spot Order Optimization to Increase Dose Rates in Scanned Particle Therapy FLASH Treatments\",\"authors\":\"Viktor Wase, Oscar Widenfalk, Rasmus Nilsson, Claes Fälth, Albin Fredriksson\",\"doi\":\"arxiv-2409.11794\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The advent of ultra-high dose rate irradiation, known as FLASH radiation\\ntherapy, has shown promising potential in reducing toxicity while maintaining\\ntumor control. However, the clinical translation of these benefits necessitates\\nefficient treatment planning strategies. This study introduces a novel approach\\nto optimize proton therapy for FLASH effects using traveling salesperson\\nproblem (TSP) heuristics. We applied these heuristics to optimize the\\narrangement of proton spots in treatment plans for 26 prostate cancer patients,\\ncomparing the performance against conventional sorting methods and global\\noptimization techniques. Our results demonstrate that TSP-based heuristics\\nsignificantly enhance FLASH coverage to the same extent as the global\\noptimization technique, but with computation times reduced from hours to a few\\nseconds. This approach offers a practical and scalable solution for enhancing\\nthe effectiveness of FLASH therapy, paving the way for more effective and\\npersonalized cancer treatments. Future work will focus on further optimizing\\nrun times and validating these methods in clinical settings.\",\"PeriodicalId\":501378,\"journal\":{\"name\":\"arXiv - PHYS - Medical Physics\",\"volume\":\"29 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Medical Physics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.11794\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Medical Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.11794","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.