Clinical examples of 3D dose distribution reconstruction, based on the actual MLC leaves movement, for dynamic treatment techniques
Clinical examples of 3D dose distribution reconstruction, based on the actual MLC leaves movement, for dynamic treatment techniques
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DOI：
10.1016/j.rpor.2014.04.013
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发表时间：
2014-11-01
影响因子：
1.2
通讯作者：
Slosarek, Krzysztof
中科院分区：
文献类型：
--
作者：
Osewski, Wojciech;Dolla, Lukasz;Slosarek, Krzysztof
目的：为了提出我们的新算法重建的3D剂量分布的实际例子，基于实际的MLC叶movement.Background：DynaLog和RTplan文件被使用的DDcon软件准备一个新的RTplan文件的剂量分布reconstruction.Materials and methods：四个不同的临床相关的场景被用来评估所提出的新方法的可行性：（1）前列腺癌整个治疗疗程的重建;（2）IMRT验证治疗计划的重建;（3）乳腺癌剂量重建;（4）前列腺癌中断VMAT治疗疗程的中断弧和补充计划的重建。应用重建方法进行了验证，通过比较重建和测量的注量图。对于所有的统计分析，使用U Mann-Whitney检验。结果：在前两种和第四种情况下，计划和重建的剂量分布之间没有统计学显著差异（分别为p = 0.910，p = 0.975，p = 0.893）。在第三种情况下，差异具有统计学显著性（p = 0.015）。结论：改进的剂量分布重建算法是一种非常有用的质量保证工具。它提供了患者体积中3D剂量分布验证的方法，并允许评估实际MLC叶运动对剂量分布的影响。(C)2014年大波兰癌症中心。出版社：Elsevier Urban & Partner Sp. z o.o. All rights reserved.
Aim: To present practical examples of our new algorithm for reconstruction of 3D dose distribution, based on the actual MLC leaf movement.Background: DynaLog and RTplan files were used by DDcon software to prepare a new RTplan file for dose distribution reconstruction.Materials and methods: Four different clinically relevant scenarios were used to assess the feasibility of the proposed new approach: (1) Reconstruction of whole treatment sessions for prostate cancer; (2) Reconstruction of IMRT verification treatment plan; (3) Dose reconstruction in breast cancer; (4) Reconstruction of interrupted arc and complementary plan for an interrupted VMAT treatment session of prostate cancer. The applied reconstruction method was validated by comparing reconstructed and measured fluence maps. For all statistical analysis, the U Mann-Whitney test was used.Results: In the first two and the fourth cases, there were no statistically significant differences between the planned and reconstructed dose distribution (p = 0.910, p = 0.975, p = 0.893, respectively). In the third case the differences were statistically significant (p = 0.015). Treatment plan had to be reconstructed.Conclusion: Developed dose distribution reconstruction algorithm presents a very useful QA tool. It provides means for 3D dose distribution verification in patient volume and allows to evaluate the influence of actual MLC leaf motion on the dose distribution. (C) 2014 Greater Poland Cancer Centre. Published by Elsevier Urban & Partner Sp. z o.o. All rights reserved.