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同步移动孔径放射治疗(SMART):在实际治疗条件下将肿瘤运动叠加到调强放疗多叶准直器叶片序列上。

Synchronized moving aperture radiation therapy (SMART): superimposing tumor motion on IMRT MLC leaf sequences under realistic delivery conditions.

作者信息

Xu Jun, Papanikolaou Nikos, Shi Chengyu, Jiang Steve B

机构信息

Department of Radiation Oncology, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.

出版信息

Phys Med Biol. 2009 Aug 21;54(16):4993-5007. doi: 10.1088/0031-9155/54/16/010. Epub 2009 Jul 30.

Abstract

Synchronized moving aperture radiation therapy (SMART) has been proposed to account for tumor motions during radiotherapy in prior work. The basic idea of SMART is to synchronize the moving radiation beam aperture formed by a dynamic multileaf collimator (DMLC) with the tumor motion induced by respiration. In this paper, a two-dimensional (2D) superimposing leaf sequencing method is presented for SMART. A leaf sequence optimization strategy was generated to assure the SMART delivery under realistic delivery conditions. The study of delivery performance using the Varian LINAC and the Millennium DMLC showed that clinical factors such as collimator angle, dose rate, initial phase and machine tolerance affect the delivery accuracy and efficiency. An in-house leaf sequencing software was developed to implement the 2D superimposing leaf sequencing method and optimize the motion-corrected leaf sequence under realistic clinical conditions. The analysis of dynamic log (Dynalog) files showed that optimization of the leaf sequence for various clinical factors can avoid beam hold-offs which break the synchronization of SMART and fail the SMART dose delivery. Through comparison between the simulated delivered fluence map and the planed fluence map, it was shown that the motion-corrected leaf sequence can greatly reduce the dose error.

摘要

在先前的工作中,同步移动孔径放射治疗(SMART)已被提出用于在放射治疗期间考虑肿瘤运动。SMART的基本思想是使由动态多叶准直器(DMLC)形成的移动辐射束孔径与呼吸引起的肿瘤运动同步。本文提出了一种用于SMART的二维(2D)叠加叶片排序方法。生成了一种叶片序列优化策略,以确保在实际输送条件下进行SMART输送。使用瓦里安直线加速器和千禧年DMLC对输送性能的研究表明,诸如准直器角度、剂量率、初始相位和机器公差等临床因素会影响输送精度和效率。开发了一个内部叶片排序软件,以实现二维叠加叶片排序方法,并在实际临床条件下优化运动校正后的叶片序列。对动态日志(Dynalog)文件的分析表明,针对各种临床因素优化叶片序列可以避免束流延迟,束流延迟会破坏SMART的同步并导致SMART剂量输送失败。通过比较模拟的输送注量图和计划的注量图,结果表明运动校正后的叶片序列可以大大降低剂量误差。

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