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应用射野角度和多目标优化提高肺癌放疗计划的执行效率
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  • 英文篇名:Application of beam angle and multicriteria optimization to improve the delivery efficiency of thorax radiotherapy
  • 作者:李娟 ; 张海英 ; 胡伟刚 ; 韩序 ; 吴志强 ; 陈元华
  • 英文作者:LI Juan;ZHANG Haiying;HU Weigang;HAN Xu;WU Zhiqiang;CHEN Yuanhua;Department of Radiation Oncology, Fudan University Shanghai Cancer Center;Department of Oncology, Shanghai Medical College, Fudan University;
  • 关键词:射野角度优化 ; 多目标优化 ; 调强放疗 ; 执行效率
  • 英文关键词:Beam angle optimization;;Multicriteria optimization;;Intensity-modulated radiation therapy;;Delivery efficiency
  • 中文刊名:ZGAZ
  • 英文刊名:China Oncology
  • 机构:复旦大学附属肿瘤医院放射治疗中心复旦大学上海医学院肿瘤学系;
  • 出版日期:2019-04-04 10:27
  • 出版单位:中国癌症杂志
  • 年:2019
  • 期:v.29;No.233
  • 基金:国家自然科学基金(11205033,11675042)
  • 语种:中文;
  • 页:ZGAZ201903009
  • 页数:6
  • CN:03
  • ISSN:31-1727/R
  • 分类号:48-53
摘要
背景与目的:呼吸运动会给肺癌的放疗带来不利影响,而提高放疗计划的执行效率会在一定程度上减轻这一影响。该研究旨在探究运用射野角度和多目标优化(beam angle and multicriteria optimization,BAMCO)技术进行肺癌放疗计划设计的可行性和执行效率。方法:将10个肺癌临床计划数据由Pinnacle计划系统导出到RayStation计划系统。在RayStation系统中新建计划,以对应的临床计划射野角度为初始条件,在三维适形模块下优化射野角度。以优化结果为基础,执行多目标优化(multicriteria optimization,MCO),导航并确定临床需要的最佳妥协方案,然后生成可执行计划。最后,对比分析BAMCO计划和临床计划。结果:BAMCO计划设计不需要反复试错,一次MCO优化可确定最优计划;BAMCO计划和临床计划的靶区剂量分布和危及器官受量差异无统计学意义。BAMCO计划的跳数相比临床计划明显减少(31.1%±16.9%)。结论:BAMCO技术在保证计划质量的前提下,可有效提升计划的执行效率。
        Background and purpose: Respiratory motion may adversely affect radiotherapy for lung cancer, and improving plan delivery efficiency can alleviate this effect to some extent. The aim of this study was to investigate the feasibility of using beam angle and multicriteria optimization(BAMCO) to conduct the treatment planning of lung cancer radiotherapy and the delivery efficiency.Methods: We extracted the planning data of 10 lung cancer patients from Pinnacle treatment planning system, and then created new plan in RayStation system. The corresponding clinical beam set was used as initial reference to conduct beam angle optimization. The obtained beams were used as final beam set to complete multicriteria optimization(MCO). We selected the best clinical compromise and generated deliverable plan. Finally, the clinical and BAMCO plans were compared. Results: BAMCO plan design could determine the best plan after one-time optimization and avoid trial-and-error process. The plan qualities of clinical and BAMCO plans were similar. The machine units of BAMCO were much lower than those of clinical ones(31.1%±16.9%). Conclusion:BAMCO technique can improve delivery efficiency significantly and guarantee good plan quality.
引文
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