Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Portugal.
Phys Med. 2013 Jun;29(4):357-67. doi: 10.1016/j.ejmp.2012.05.004. Epub 2012 Jun 6.
Monte Carlo (MC) dose calculation algorithms have been widely used to verify the accuracy of intensity-modulated radiotherapy (IMRT) dose distributions computed by conventional algorithms due to the ability to precisely account for the effects of tissue inhomogeneities and multileaf collimator characteristics. Both algorithms present, however, a particular difference in terms of dose calculation and report. Whereas dose from conventional methods is traditionally computed and reported as the water-equivalent dose (Dw), MC dose algorithms calculate and report dose to medium (Dm). In order to compare consistently both methods, the conversion of MC Dm into Dw is therefore necessary. This study aims to assess the effect of applying the conversion of MC-based Dm distributions to Dw for prostate IMRT plans generated for 6 MV photon beams. MC phantoms were created from the patient CT images using three different ramps to convert CT numbers into material and mass density: a conventional four material ramp (CTCREATE) and two simplified CT conversion ramps: (1) air and water with variable densities and (2) air and water with unit density. MC simulations were performed using the BEAMnrc code for the treatment head simulation and the DOSXYZnrc code for the patient dose calculation. The conversion of Dm to Dw by scaling with the stopping power ratios of water to medium was also performed in a post-MC calculation process. The comparison of MC dose distributions calculated in conventional and simplified (water with variable densities) phantoms showed that the effect of material composition on dose-volume histograms (DVH) was less than 1% for soft tissue and about 2.5% near and inside bone structures. The effect of material density on DVH was less than 1% for all tissues through the comparison of MC distributions performed in the two simplified phantoms considering water. Additionally, MC dose distributions were compared with the predictions from an Eclipse treatment planning system (TPS), which employed a pencil beam convolution (PBC) algorithm with Modified Batho Power Law heterogeneity correction. Eclipse PBC and MC calculations (conventional and simplified phantoms) agreed well (<1%) for soft tissues. For femoral heads, differences up to 3% were observed between the DVH for Eclipse PBC and MC calculated in conventional phantoms. The use of the CT conversion ramp of water with variable densities for MC simulations showed no dose discrepancies (0.5%) with the PBC algorithm. Moreover, converting Dm to Dw using mass stopping power ratios resulted in a significant shift (up to 6%) in the DVH for the femoral heads compared to the Eclipse PBC one. Our results show that, for prostate IMRT plans delivered with 6 MV photon beams, no conversion of MC dose from medium to water using stopping power ratio is needed. In contrast, MC dose calculations using water with variable density may be a simple way to solve the problem found using the dose conversion method based on the stopping power ratio.
蒙特卡罗(MC)剂量计算算法由于能够精确考虑组织不均匀性和多叶准直器特性的影响,已被广泛用于验证传统算法计算的调强放疗(IMRT)剂量分布的准确性。然而,这两种算法在剂量计算和报告方面都存在一个特殊的差异。传统方法计算和报告的剂量是水等效剂量(Dw),而 MC 剂量算法计算和报告的是介质剂量(Dm)。为了始终如一地比较这两种方法,因此有必要将 MC 的 Dm 转换为 Dw。本研究旨在评估将基于 MC 的 Dm 分布转换为 Dw 应用于 6MV 光子束生成的前列腺调强放疗计划的效果。使用三种不同的斜坡将 CT 号转换为材料和质量密度来创建 MC 体模:传统的四材料斜坡(CTCREATE)和两种简化的 CT 转换斜坡:(1)空气和可变密度的水,以及(2)空气和单位密度的水。使用 BEAMnrc 代码对治疗头模拟进行 MC 模拟,并使用 DOSXYZnrc 代码对患者剂量进行计算。在 MC 后计算过程中,通过与水到介质的阻止本领比进行缩放,也可以将 Dm 转换为 Dw。在传统和简化(可变密度水)体模中计算 MC 剂量分布的比较表明,对于软组织,材料组成对剂量-体积直方图(DVH)的影响小于 1%,而在靠近和内部骨骼结构中约为 2.5%。通过比较考虑水的两种简化体模中的 MC 分布,所有组织的材料密度对 DVH 的影响均小于 1%。此外,将 MC 剂量分布与 Eclipse 治疗计划系统(TPS)的预测进行了比较,Eclipse TPS 采用具有改良 Batho 幂律异质性校正的铅笔束卷积(PBC)算法。对于软组织,Eclipse PBC 和 MC 计算(传统和简化体模)之间的差异小于 1%。对于 MC 模拟,使用可变密度水的 CT 转换斜坡,与 PBC 算法没有剂量差异(0.5%)。此外,与 Eclipse PBC 相比,使用质量阻止本领比将 Dm 转换为 Dw 会导致股骨头部的 DVH 发生显著变化(高达 6%)。我们的结果表明,对于使用 6MV 光子束的前列腺调强放疗计划,不需要使用阻止本领比将 MC 剂量从介质转换为水。相反,使用可变密度水的 MC 剂量计算可能是解决基于阻止本领比的剂量转换方法发现的问题的一种简单方法。