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Comparison of dose calculation algorithms for treatment planning in external photon beam therapy for clinical situations

机译:用于临床情况的外部光子束治疗计划中剂量计算算法的比较

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A study of the performance of five commercial radiotherapy treatment planning systems ( TPSs) for common treatment sites regarding their ability to model heterogeneities and scattered photons has been performed. The comparison was based on CT information for prostate, head and neck, breast and lung cancer cases. The TPSs were installed locally at different institutions and commissioned for clinical use based on local procedures. For the evaluation, beam qualities as identical as possible were used: low energy ( 6 MV) and high energy ( 15 or 18 MV) x-rays. All relevant anatomical structures were outlined and simple treatment plans were set up. Images, structures and plans were exported, anonymized and distributed to the participating institutions using the DICOM protocol. The plans were then re-calculated locally and exported back for evaluation. The TPSs cover dose calculation techniques from correction-based equivalent path length algorithms to model-based algorithms. These were divided into two groups based on how changes in electron transport are accounted for (( a) not considered and ( b) considered). Increasing the complexity from the relatively homogeneous pelvic region to the very inhomogeneous lung region resulted in less accurate dose distributions. Improvements in the calculated dose have been shown when models consider volume scatter and changes in electron transport, especially when the extension of the irradiated volume was limited and when low densities were present in or adjacent to the fields. A Monte Carlo calculated algorithm input data set and a benchmark set for a virtual linear accelerator have been produced which have facilitated the analysis and interpretation of the results. The more sophisticated models in the type b group exhibit changes in both absorbed dose and its distribution which are congruent with the simulations performed by Monte Carlo-based virtual accelerator.
机译:已经对常见治疗部位的五个商业放疗治疗计划系统(TPS)的性能进行了研究,以了解它们对异质性和散射光子建模的能力。比较是基于针对前列腺癌,头颈癌,乳腺癌和肺癌病例的CT信息。 TPS安装在不同机构的本地位置,并根据本地程序进行临床使用。为了进行评估,使用了尽可能相同的光束质量:低能(6 MV)和高能(15或18 MV)X射线。概述了所有相关的解剖结构,并制定了简单的治疗计划。使用DICOM协议将图像,结构和计划导出,匿名并分发给参与机构。然后将计划在本地重新计算,然后导出以进行评估。 TPS涵盖了从基于校正的等效路径长度算法到基于模型的算法的剂量计算技术。根据如何解释电子传输的变化将它们分为两组((a)未考虑,(b)已考虑)。从相对均匀的骨盆区域到非常不均匀的肺区域,复杂性的增加导致剂量分布的准确性降低。当模型考虑体积散射和电子传输的变化时,尤其是当受辐照体积的扩展受到限制以及场内或场附近存在低密度时,计算出的剂量已得到改善。已经产生了用于虚拟线性加速器的蒙特卡洛计算算法输入数据集和基准集,这有助于结果的分析和解释。 b型组中更复杂的模型在吸收剂量及其分布方面都表现出变化,这与基于Monte Carlo的虚拟加速器进行的仿真是一致的。

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