Lugen Liu, Hao Qiao, Yanan Xiao, Jianglin Tang, Ruiyuan Liu
{"title":"[基于 Eclipse TPS 的等效均匀剂量在调强旋转放疗中的临床应用]。","authors":"Lugen Liu, Hao Qiao, Yanan Xiao, Jianglin Tang, Ruiyuan Liu","doi":"10.12455/j.issn.1671-7104.240118","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To investigate the application of equivalent uniform dose (EUD) in intensity-modulated rotational radiotherapy and to explore optimization methods for improving the quality of modulated treatment plans.</p><p><strong>Methods: </strong>The impact of the parameter <i>a</i> in the EUD formula on the characteristics of the EUD curve was analyzed using Python. Thirty cases of head and neck tumors, thoracic tumors, and pelvic tumors were randomly selected for treatment planning. Dose optimization for the target area and organs at risk were performed using a physics-based optimization approach or an optimization approach that combines physical constraints with the EUD function. The dose distribution and compliance with constraints of the two groups of plans were compared, while also observing the effect of different values of <i>a</i> on the planning outcomes.</p><p><strong>Results: </strong>The impact of the value of <i>a</i> on the changes in EUD curve characteristics was consistent with its impact on the results of EUD plan optimization. When -15≤ <i>a</i>≤-5, the dose distribution in the target area was more uniform; when 1≤ <i>a</i>≤7, the effect on the uniform dose and low-dose regions in organs at risk was more noticeable; when 10≤ <i>a</i>≤30, the effect of constraining the high-dose regions in organs at risk was more pronounced, with the EUD for the target area and organs at risk exhibiting different expressions under different <i>a</i> values. The study also found that the target dose distribution and the protection of organs at risk in the EUD optimization group were better than those in the physical optimization group only.</p><p><strong>Conclusion: </strong>The <i>a</i>-value has a significant impact on the, the dose distribution in the target area and the organ at risk, providing a reference for the setting of <i>a</i>-value while using EUD to optimize the intensity modulation plan. The using of EUD optimization method can not only achieve excellent dose distribution in the target area, but also significantly reduce the normal tissue dose and the probability of complications, which has certain clinical application value.</p>","PeriodicalId":52535,"journal":{"name":"中国医疗器械杂志","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Clinical Application of Equivalent Uniform Dose in Intensity-Modulated Rotational Radiotherapy Based on Eclipse TPS].\",\"authors\":\"Lugen Liu, Hao Qiao, Yanan Xiao, Jianglin Tang, Ruiyuan Liu\",\"doi\":\"10.12455/j.issn.1671-7104.240118\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To investigate the application of equivalent uniform dose (EUD) in intensity-modulated rotational radiotherapy and to explore optimization methods for improving the quality of modulated treatment plans.</p><p><strong>Methods: </strong>The impact of the parameter <i>a</i> in the EUD formula on the characteristics of the EUD curve was analyzed using Python. Thirty cases of head and neck tumors, thoracic tumors, and pelvic tumors were randomly selected for treatment planning. Dose optimization for the target area and organs at risk were performed using a physics-based optimization approach or an optimization approach that combines physical constraints with the EUD function. The dose distribution and compliance with constraints of the two groups of plans were compared, while also observing the effect of different values of <i>a</i> on the planning outcomes.</p><p><strong>Results: </strong>The impact of the value of <i>a</i> on the changes in EUD curve characteristics was consistent with its impact on the results of EUD plan optimization. When -15≤ <i>a</i>≤-5, the dose distribution in the target area was more uniform; when 1≤ <i>a</i>≤7, the effect on the uniform dose and low-dose regions in organs at risk was more noticeable; when 10≤ <i>a</i>≤30, the effect of constraining the high-dose regions in organs at risk was more pronounced, with the EUD for the target area and organs at risk exhibiting different expressions under different <i>a</i> values. The study also found that the target dose distribution and the protection of organs at risk in the EUD optimization group were better than those in the physical optimization group only.</p><p><strong>Conclusion: </strong>The <i>a</i>-value has a significant impact on the, the dose distribution in the target area and the organ at risk, providing a reference for the setting of <i>a</i>-value while using EUD to optimize the intensity modulation plan. The using of EUD optimization method can not only achieve excellent dose distribution in the target area, but also significantly reduce the normal tissue dose and the probability of complications, which has certain clinical application value.</p>\",\"PeriodicalId\":52535,\"journal\":{\"name\":\"中国医疗器械杂志\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"中国医疗器械杂志\",\"FirstCategoryId\":\"1087\",\"ListUrlMain\":\"https://doi.org/10.12455/j.issn.1671-7104.240118\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国医疗器械杂志","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.12455/j.issn.1671-7104.240118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
摘要
目的研究等效均匀剂量(EUD)在调强旋转放疗中的应用,并探索提高调强治疗计划质量的优化方法:方法:使用 Python 分析等效均匀剂量公式中参数 a 对等效均匀剂量曲线特征的影响。随机选取 30 例头颈部肿瘤、胸部肿瘤和盆腔肿瘤病例制定治疗计划。采用基于物理的优化方法或结合物理约束与 EUD 函数的优化方法,对靶区和危险器官进行了剂量优化。比较了两组计划的剂量分布和是否符合约束条件,同时还观察了不同的 a 值对计划结果的影响:结果:a 值对 EUD 曲线特征变化的影响与其对 EUD 计划优化结果的影响是一致的。当-15≤a≤-5时,靶区的剂量分布更加均匀;当1≤a≤7时,对均匀剂量和高危器官低剂量区域的影响更加明显;当10≤a≤30时,对高危器官高剂量区域的约束作用更加明显,靶区和高危器官的EUD在不同a值下表现出不同的表达。研究还发现,EUD 优化组的目标剂量分布和对危险器官的保护均优于仅物理优化组:a值对靶区剂量分布和危险器官有显著影响,为使用EUD优化调强方案时a值的设定提供了参考。使用EUD优化方法不仅能在靶区获得良好的剂量分布,还能显著降低正常组织剂量和并发症发生概率,具有一定的临床应用价值。
[Clinical Application of Equivalent Uniform Dose in Intensity-Modulated Rotational Radiotherapy Based on Eclipse TPS].
Objective: To investigate the application of equivalent uniform dose (EUD) in intensity-modulated rotational radiotherapy and to explore optimization methods for improving the quality of modulated treatment plans.
Methods: The impact of the parameter a in the EUD formula on the characteristics of the EUD curve was analyzed using Python. Thirty cases of head and neck tumors, thoracic tumors, and pelvic tumors were randomly selected for treatment planning. Dose optimization for the target area and organs at risk were performed using a physics-based optimization approach or an optimization approach that combines physical constraints with the EUD function. The dose distribution and compliance with constraints of the two groups of plans were compared, while also observing the effect of different values of a on the planning outcomes.
Results: The impact of the value of a on the changes in EUD curve characteristics was consistent with its impact on the results of EUD plan optimization. When -15≤ a≤-5, the dose distribution in the target area was more uniform; when 1≤ a≤7, the effect on the uniform dose and low-dose regions in organs at risk was more noticeable; when 10≤ a≤30, the effect of constraining the high-dose regions in organs at risk was more pronounced, with the EUD for the target area and organs at risk exhibiting different expressions under different a values. The study also found that the target dose distribution and the protection of organs at risk in the EUD optimization group were better than those in the physical optimization group only.
Conclusion: The a-value has a significant impact on the, the dose distribution in the target area and the organ at risk, providing a reference for the setting of a-value while using EUD to optimize the intensity modulation plan. The using of EUD optimization method can not only achieve excellent dose distribution in the target area, but also significantly reduce the normal tissue dose and the probability of complications, which has certain clinical application value.