Department of Radiotherapy, Medical University Vienna/AKH Wien, Vienna, Austria.
Radiother Oncol. 2009 Dec;93(3):645-53. doi: 10.1016/j.radonc.2009.10.013. Epub 2009 Nov 18.
The aim of this study was to compare the dose calculation accuracy of advanced kernel-based methods and Monte Carlo algorithms in commercially available treatment planning systems.
Following dose calculation algorithms and treatment planning (TPS) systems were compared: the collapsed cone (CC) convolution algorithm available in Oncentra Masterplan, the XVMC Monte Carlo algorithm implemented in iPlan and Monaco, and the analytical anisotropic algorithm (AAA) implemented in Eclipse. Measurements were performed with a calibrated ionization chamber and radiochromic EBT type films in a homogenous polystyrene phantom and in heterogeneous lung phantoms. Single beam tests, conformal treatment plans and IMRT plans were validated. Dosimetric evaluations included absolute dose measurements, 1D gamma-evaluation of depth-dose curves and profiles using 2mm and 2% dose difference criteria for single beam tests, and gamma-evaluation of axial planes for composite treatment plans applying 3mm and 3% dose difference criteria.
Absolute dosimetry revealed no large differences between MC and advanced kernel dose calculations. 1D gamma-evaluation showed significant discrepancies between depth-dose curves in different phantom geometries. For the CC algorithm gamma(mean) values were 0.90+/-0.74 vs. 0.43+/-0.41 in heterogeneous vs. homogeneous conditions and for the AAA gamma(mean) values were 1.13+/-0.91 vs. 0.41+/-0.28, respectively. In general, 1D gamma results obtained with both MC TPS were similar in both phantoms and on average equal to 0.5 both for profiles and depth-dose curves. The results obtained with the CC algorithm in heterogeneous phantoms were slightly better in comparison to the AAA algorithm. The 2D gamma-evaluation results of IMRT plans and four-field plans showed smaller mean gamma-values for MC dose calculations compared to the advanced kernel algorithms (gamma(mean) for four-field plan and IMRT obtained with Monaco MC were 0.28 and 0.5, respectively, vs. 0.40 and 0.54 for the AAA).
All TPS investigated in this study demonstrated accurate dose calculation in homogenous and heterogeneous phantoms. Commercially available TPS with Monte Carlo option performed best in heterogeneous phantoms. However, the difference between the CC and the MC algorithms was found to be small.
本研究旨在比较先进核算法和蒙特卡罗算法在商业治疗计划系统中的剂量计算准确性。
比较了以下剂量计算算法和治疗计划系统:Oncentra Masterplan 中的锥形束卷积算法(CC)、iPlan 和 Monaco 中的 XVMC 蒙特卡罗算法以及 Eclipse 中的解析各向异性算法(AAA)。在均匀聚苯乙烯体模和不均匀肺体模中使用校准电离室和放射性色迹 EBT 型胶片进行了测量。对单束测试、适形治疗计划和调强放疗计划进行了验证。剂量评估包括绝对剂量测量、单束测试中使用 2mm 和 2%剂量差异标准的深度剂量曲线和轮廓的 1D 伽马评估,以及应用 3mm 和 3%剂量差异标准的复合治疗计划的轴向平面的伽马评估。
绝对剂量测量显示 MC 和先进核算法之间没有明显差异。1D 伽马评估显示不同体模几何形状的深度剂量曲线之间存在显著差异。对于 CC 算法,在不均匀和均匀条件下,伽马(平均值)值分别为 0.90+/-0.74 与 0.43+/-0.41,对于 AAA,伽马(平均值)值分别为 1.13+/-0.91 与 0.41+/-0.28。一般来说,两种 MC TPS 在两个体模中获得的 1D 伽马结果相似,在轮廓和深度剂量曲线中平均为 0.5。与 AAA 算法相比,在不均匀体模中获得的 CC 算法结果略好。四野计划和调强放疗计划的 2D 伽马评估结果显示,MC 剂量计算的平均伽马值低于先进核算法(Monaco MC 获得的四野计划和调强放疗的平均伽马值分别为 0.28 和 0.5,而 AAA 为 0.40 和 0.54)。
本研究中调查的所有治疗计划系统在均匀和不均匀体模中均表现出准确的剂量计算。具有蒙特卡罗选项的商业上可用的治疗计划系统在不均匀体模中表现最好。然而,CC 和 MC 算法之间的差异被发现很小。