[1]张岳,戴建荣.基于混合整数线性规划的γ射线立体定向放疗的计划优化方法[J].国际放射医学核医学杂志,2009,33(1):58-61.[doi:10.3760/cma.j.issn.1673-4114.2009.01.058]
　ZHANG Yue,DAI Jian-rong.A treatment planning optimization method based on mixed integer linear programming for γ-ray stereotactic radiotherapy[J].International Journal of Radiation Medicine and Nuclear Medicine,2009,33(1):58-61.[doi:10.3760/cma.j.issn.1673-4114.2009.01.058]
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基于混合整数线性规划的γ射线立体定向放疗的计划优化方法(/HTML)
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《国际放射医学核医学杂志》[ISSN:1673-4114/CN:12-1381/R]

卷:
33
期数:
2009年第1期
页码:
58-61
栏目:
质量控制
出版日期:
1900-01-01

文章信息/Info

Title:
A treatment planning optimization method based on mixed integer linear programming for γ-ray stereotactic radiotherapy
作者:
张岳1;  戴建荣2
1. 武汉大学物理科学与技术学院放疗物理专业, 武汉 430072;
2. 中国医学科学院肿瘤医院放射治疗科, 北京 100021
Author(s):
ZHANG Yue1;  DAI Jian-rong2
1. Department of Radiation Therapy Physics, Physics Science and Technology College, wuhan University, Wuhan 430072, China;
2. Department of Radiation Oncology, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing 100021, China
关键词:
放射外科手术; 放射治疗计划; 计算机辅助
Keywords:
Radiosurgery; radiotherapy planning; Computer-asssited
DOI:
10.3760/cma.j.issn.1673-4114.2009.01.058
摘要:
目的 建立混合整数线性规划模型,优化γ射线立体定向放疗计划的焦点数目和权重,改善计划的剂量分布并减少治疗计划和实施的时间。方法 用C++编程实现优化模块并集成到现有计划系统中。从治疗数据库中随机抽取一组病例检验优化模块,计划评价指标为靶区覆盖百分比(TCP)和处方等剂量靶区体积比(PITV)。结果 优化计划比手动计划减少了焦点数目,提高了TCP,PITV在可以接受的范围。测试病例的优化时间均在2min以内。结论 优化模块改善了手工计划的质量,减少了计划设计和治疗实施的时间。
Abstract:
Objective To develop a mixed integer linear programming model for improving the dose distribution and reducing the planning and delivery time during γ-ray stereotactic radiotherapy by optimizing the shot number and weight. Methods The optimization module is implemented by C++ programming. Integrated into rotating gamma system-treatment planning system and tested using clinical cases from patient database by target coverage percent (TCP) and perscription isodose to tumor volume ratio (PITV). Results The treatment plan produced by optimization module reduced the shot number and provided an improved TCP and an acceptable PITV compared to the manual plans. An optimized treatment plan can typically be produced in 2 min or less. Conclusion The optimization module improves manual plans while reducing the time of treatment planning and delivery.

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备注/Memo

备注/Memo:
收稿日期:2008-04-28。
通讯作者:戴建荣(E-mail:dai_jianrong@163.com)
更新日期/Last Update: 1900-01-01