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首页 > 过刊浏览>2021年第30卷第7期 >95-101. DOI:10.15888/j.cnki.csa.008012
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基于Pylinac的放射治疗QA数字化分析系统
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QA Digital Analysis System for Radiotherapy Based on Pylinac Library
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    摘要:

    目的: 建立放射治疗直线加速器质量保证(Quality Assurance, QA)标准化体系和数字化分析系统是提升放疗水平和质量的有效途径. 方法: 基于Pylinac函数库, 采用Django框架和MySQL数据库结构搭建QA数字化分析系统, 并通过临床测试来评价该系统的稳定性与实用性. 结果: 放射治疗QA数字化分析系统不仅有利于监控及回顾分析直线加速器的运行状况, 而且有效减少医用直线加速器QA流程中计算分析的时间, 同时该系统还有助于放疗科新入职物理师快速熟悉QA流程. 结论: QA数字化分析系统在简化QA工作流程, 提高工作效率的同时, 更对放射治疗直线加速器的治疗体系中QA标准化起到进一步推进作用.

    Abstract:

    Objective: Establishing the Quality Assurance (QA) standardization and digital analysis system of linear accelerators (linacs) is an effective way to improve the level and quality of radiotherapy. Methods: Based on the Pylinac function library, a QA digital analysis system is built with the Django framework and the MySQL database structure. The stability and practicability of the system are evaluated through clinical tests. Results: The QA digital analysis system can substantially reduce the time of calculation and analysis in the QA process, while facilitating the monitoring and review of linac operation. Moreover, it can help new physicists in the radiotherapy department to master the QA process quickly. Conclusion: The QA digital analysis system not only simplifies the QA workflow and improves the working efficiency, but also promotes the QA standardization for the treatment system of radiotherapy linacs.

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高大地,王佳舟,罗吉,钟阳,翟鹏,杨彦举.基于Pylinac的放射治疗QA数字化分析系统.计算机系统应用,2021,30(7):95-101

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  • 收稿日期:2020-11-06
  • 最后修改日期:2020-12-12
  • 在线发布日期: 2021-07-02
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