Landoni V, Borzì G R, Strolin S, Bruzzaniti V, Soriani A, D'Alessio D, Ambesi F, Di Grazia A M, Strigari L
Laboratory of Medical Physics and Expert Systems, Regina Elena National Cancer Institute, Rome, Italy
REM Radioterapia, Catania-Istituto Oncologico del Mediterraneo (IOM), Viagrande (CT), Italy.
Technol Cancer Res Treat. 2015 Jun;14(3):334-42. doi: 10.1177/1533034614547451. Epub 2014 Sep 15.
The purpose of this study is to evaluate the differences between dose distributions calculated with the pencil beam (PB) and X-ray voxel Monte Carlo (MC) algorithms for patients with lung cancer using intensity-modulated radiotherapy (IMRT) or HybridArc techniques. The 2 algorithms were compared in terms of dose-volume histograms, under normal and deep inspiration breath hold, and in terms of the tumor control probability (TCP). The dependence of the differences in tumor volume and location was investigated. Dosimetric validation was performed using Gafchromic EBT3 (International Specialty Products, ISP, Wayne, NJ). Forty-five Computed Tomography (CT) data sets were used for this study; 40 Gy at 8 Gy/fraction was prescribed with 5 noncoplanar 6-MV IMRT beams or 3 to 4 dynamic conformal arcs with 3 to 5 IMRT beams distributed per arc. The plans were first calculated with PB and then recalculated with MC. The difference between the mean tumor doses was approximately 10% ± 4%; these differences were even larger under deep inspiration breath hold. Differences between the mean tumor dose correlated with tumor volume and path length of the beams. The TCP values changed from 99.87% ± 0.24% to 96.78% ± 4.81% for both PB- and MC-calculated plans (P = .009). When a fraction of hypoxic cells was considered, the mean TCP values changed from 76.01% ± 5.83% to 34.78% ± 18.06% for the differently calculated plans (P < .0001). When the plans were renormalized to the same mean dose at the tumor, the mean TCP for oxic cells was 99.05% ± 1.59% and for hypoxic cells was 60.20% ± 9.53%. This study confirms that the MC algorithm adequately accounts for inhomogeneities. The inclusion of the MC in the process of IMRT optimization could represent a further step in the complex problem of determining the optimal treatment plan.
本研究的目的是评估对于采用调强放射治疗(IMRT)或混合弧形技术的肺癌患者,使用笔形束(PB)算法和X射线体素蒙特卡罗(MC)算法计算的剂量分布之间的差异。在正常和深吸气屏气状态下,根据剂量体积直方图以及肿瘤控制概率(TCP)对这两种算法进行了比较。研究了肿瘤体积和位置差异的依赖性。使用Gafchromic EBT3(国际特殊产品公司,ISP,新泽西州韦恩)进行剂量验证。本研究使用了45个计算机断层扫描(CT)数据集;处方剂量为40 Gy,分8次给予,每次8 Gy,采用5个非共面6-MV IMRT射束或3至4个动态适形弧,每个弧分布3至5个IMRT射束。计划首先用PB算法计算,然后用MC算法重新计算。平均肿瘤剂量之间的差异约为10%±4%;在深吸气屏气状态下,这些差异甚至更大。平均肿瘤剂量之间的差异与肿瘤体积和射束路径长度相关。PB算法和MC算法计算的计划的TCP值从99.87%±0.24%变为96.78%±4.81%(P = 0.009)。当考虑一部分缺氧细胞时,不同计算计划的平均TCP值从76.01%±5.83%变为34.78%±18.06%(P < 0.0001)。当计划重新归一化为肿瘤处相同的平均剂量时,有氧细胞的平均TCP为99.05%±1.59%,缺氧细胞的平均TCP为60.20%±9.53%。本研究证实MC算法能够充分考虑不均匀性。在IMRT优化过程中纳入MC算法可能是确定最佳治疗计划这一复杂问题的进一步举措。