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比较 Monaco 治疗计划系统算法和蒙特卡罗模拟在人体 RANDO 体模中小野的应用:食管病例。

Comparison of Monaco treatment planning system algorithms and Monte Carlo simulation for small fields in anthropomorphic RANDO phantom: The esophagus case.

机构信息

Department of Radiation Oncology, Medicine Faculty of Van Yüzüncü Yıl University, Van, Turkey.

出版信息

J Cancer Res Ther. 2021 Oct-Dec;17(6):1370-1375. doi: 10.4103/jcrt.JCRT_1143_20.

Abstract

BACKGROUND

In this study, the dose distributions obtained by the algorithms used in Monaco treatment planning system (TPS) and Monte Carlo (MC) simulation were compared for small fields in the anthropomorphic RANDO phantom, and then, the results were analyzed using the gamma analysis method.

MATERIALS AND METHODS

In the study, dose distributions obtained from the collapse cone algorithm, MC algorithm, and MC simulation were examined. The EGSnrc was utilized for MC simulation.

RESULTS

In radiation fields smaller than 3 cm × 3 cm, the doses calculated by the CC algorithm are particularly high in the region of lung/soft-tissue interfaces. In the region of soft-tissue/vertebral interfaces, the doses calculated by the CC algorithm and the MC algorithm are compatible with the MC simulation. For each algorithm, the main reason for the non-overlapping dose curves in small fields compared to MC simulation is that the lateral electronic equilibrium loss is not taken into account by the algorithms.

CONCLUSION

The doses calculated by the algorithms used in TPS may differ, especially in environments where density changes are sharp. Even if the radiation dose from different angles is calculated similarly in the target area by the algorithms, the calculated doses in the tissues in each radiation field path may be different. Therefore, to increase the quality of radiotherapy and to protect critical organs more accurately, the accuracy of the algorithms in TPS should be checked before treatment, especially in multi-field treatments such as stereotactic body radiation therapy and intensity-modulated radiotherapy for tumors in the abdominal region.

摘要

背景

本研究旨在比较人体模体 RANDO 中小射野应用 Monaco 治疗计划系统(TPS)和蒙特卡罗(MC)算法得到的剂量分布,并采用伽玛分析方法对结果进行分析。

材料与方法

本研究分别对崩溃球算法、MC 算法和 MC 模拟得到的剂量分布进行了考察,MC 模拟使用 EGSnrc 程序。

结果

在小于 3cm×3cm 的射野中,CC 算法在肺/软组织界面区域计算的剂量特别高。在软组织/椎骨界面区域,CC 算法和 MC 算法计算的剂量与 MC 模拟结果一致。对于每种算法,与 MC 模拟相比,小射野中非重叠剂量曲线的主要原因是算法未考虑侧向电子平衡损失。

结论

TPS 中应用的算法计算的剂量可能会存在差异,尤其是在密度变化剧烈的环境中。即使算法在靶区的不同角度计算得到的靶区剂量相似,每个射野路径中的组织计算剂量也可能不同。因此,为了提高放射治疗的质量,更准确地保护危及器官,在治疗前应检查 TPS 中算法的准确性,特别是在多野治疗中,如立体定向体部放射治疗和腹部肿瘤的调强放疗。

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