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Performance of dose calculation algorithms from three generations in lung SBRT: comparison with full Monte Carlo‐based dose distributions

机译:肺SBRT中三代剂量计算算法的性能:与基于蒙特卡洛的完整剂量分布的比较

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摘要

The accuracy of dose calculation is a key challenge in stereotactic body radiotherapy (SBRT) of the lung. We have benchmarked three photon beam dose calculation algorithms — pencil beam convolution (PBC), anisotropic analytical algorithm (AAA), and Acuros XB (AXB) — implemented in a commercial treatment planning system (TPS), Varian Eclipse. Dose distributions from full Monte Carlo (MC) simulations were regarded as a reference. In the first stage, for four patients with central lung tumors, treatment plans using 3D conformal radiotherapy (CRT) technique applying 6 MV photon beams were made using the AXB algorithm, with planning criteria according to the Nordic SBRT study group. The plans were recalculated (with same number of monitor units (MUs) and identical field settings) using BEAMnrc and DOSXYZnrc MC codes. The MC‐calculated dose distributions were compared to corresponding AXB‐calculated dose distributions to assess the accuracy of the AXB algorithm, to which then other TPS algorithms were compared. In the second stage, treatment plans were made for ten patients with 3D CRT technique using both the PBC algorithm and the AAA. The plans were recalculated (with same number of MUs and identical field settings) with the AXB algorithm, then compared to original plans. Throughout the study, the comparisons were made as a function of the size of the planning target volume (PTV), using various dose‐volume histogram (DVH) and other parameters to quantitatively assess the plan quality. In the first stage also, 3D gamma analyses with threshold criteria 3%/3mm and 2%/2mm were applied. The AXB‐calculated dose distributions showed relatively high level of agreement in the light of 3D gamma analysis and DVH comparison against the full MC simulation, especially with large PTVs, but, with smaller PTVs, larger discrepancies were found. Gamma agreement index (GAI) values between 95.5% and 99.6% for all the plans with the threshold criteria 3%/3mm were achieved, but 2%/2mm threshold criteria showed larger discrepancies. The TPS algorithm comparison results showed large dose discrepancies in the PTV mean dose (D50%), nearly 60%, for the PBC algorithm, and differences of nearly 20% for the AAA, occurring also in the small PTV size range. This work suggests the application of independent plan verification, when the AAA or the AXB algorithm are utilized in lung SBRT having PTVs smaller than 20‐25 cc. The calculated data from this study can be used in converting the SBRT protocols based on type ‘a’ and/or type ‘b’ algorithms for the most recent generation type ‘c’ algorithms, such as the AXB algorithm.PACS numbers: 87.55.‐x, 87.55.D‐, 87.55.K‐, 87.55.kd, 87.55.Qr
机译:剂量计算的准确性是肺立体定向放射疗法(SBRT)的关键挑战。我们已经对三种光子束剂量计算算法进行了基准测试—铅笔束卷积(PBC),各向异性分析算法(AAA)和Acuros XB(AXB)—在商业治疗计划系统(TPS)Varian Eclipse中实现。完全Monte Carlo(MC)模拟的剂量分布被视为参考。在第一阶段,对于4例中心肺部肿瘤患者,使用AXB算法制定了使用3D保形放射疗法(CRT)技术并应用6 MV光子束的治疗计划,并根据Nordic SBRT研究组制定了计划标准。使用BEAMnrc和DOSXYZnrc MC代码重新计算了计划(具有相同数量的监视单元(MU)和相同的字段设置)。将MC计算的剂量分布与相应的AXB计算的剂量分布进行比较,以评估AXB算法的准确性,然后将其与其他TPS算法进行比较。在第二阶段,使用PBC算法和AAA制定了10例采用3D CRT技术的患者的治疗计划。使用AXB算法重新计算计划(具有相同数量的MU和相同的字段设置),然后将其与原始计划进行比较。在整个研究过程中,使用各种剂量-体积直方图(DVH)和其他参数对计划目标质量(PTV)的大小进行比较,以定量评估计划质量。同样在第一阶段,使用阈值标准 3 / 3 mm 2 / 2 < / mo> mm 被应用。根据3D伽马分析和DVH与完整MC仿真的比较,AXB计算的剂量分布显示出相对较高的一致性,特别是对于大型PTV,但是,对于较小的PTV,则发现较大的差异。具有阈值标准 3 / 3 < / mn> mm ,但是 2 / 2 mm 阈值标准显示出较大的差异。 TPS算法的比较结果显示PTV平均剂量 D 50 < mi mathvariant =“ normal”>% (针对PBC算法),差异为60% AAA的比例接近20%,也发生在较小的PTV尺寸范围内。当AAA或AXB算法用于PTV小于20-25 cc的肺SBRT中时,这项工作建议应用独立计划验证。这项研究得出的数据可用于基于``a''型和/或``b''型算法转换SBRT协议,以用于最新一代的``c''型算法,例如AXB算法.PACS编号:87.55。 ‐x,87.55.D‐,87.55.K‐,87.55.kd,87.55.Qr

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