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Comprehensive evaluation and clinical implementation of commercially available Monte Carlo dose calculation algorithm

机译:商用蒙特卡洛剂量计算算法的综合评估和临床实施

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摘要

A commercial electron Monte Carlo (eMC) dose calculation algorithm has become available in Eclipse treatment planning system. The purpose of this work was to evaluate the eMC algorithm and investigate the clinical implementation of this system. The beam modeling of the eMC algorithm was performed for beam energies of 6, 9, 12, 16, and 20 MeV for a Varian Trilogy and all available applicator sizes in the Eclipse treatment planning system. The accuracy of the eMC algorithm was evaluated in a homogeneous water phantom, solid water phantoms containing lung and bone materials, and an anthropomorphic phantom. In addition, dose calculation accuracy was compared between pencil beam (PB) and eMC algorithms in the same treatment planning system for heterogeneous phantoms. The overall agreement between eMC calculations and measurements was within 3%/2 mm, while the PB algorithm had large errors (up to 25%) in predicting dose distributions in the presence of inhomogeneities such as bone and lung. The clinical implementation of the eMC algorithm was investigated by performing treatment planning for 15 patients with lesions in the head and neck, breast, chest wall, and sternum. The dose distributions were calculated using PB and eMC algorithms with no smoothing and all three levels of 3D Gaussian smoothing for comparison. Based on a routine electron beam therapy prescription method, the number of eMC calculated monitor units (MUs) was found to increase with increased 3D Gaussian smoothing levels. 3D Gaussian smoothing greatly improved the visual usability of dose distributions and produced better target coverage. Differences of calculated MUs and dose distributions between eMC and PB algorithms could be significant when oblique beam incidence, surface irregularities, and heterogeneous tissues were present in the treatment plans. In our patient cases, monitor unit differences of up to 7% were observed between PB and eMC algorithms. Monitor unit calculations were also preformed based on point‐dose prescription. The eMC algorithm calculation was characterized by deeper penetration in the low‐density regions, such as lung and air cavities. As a result, the mean dose in the low‐density regions was underestimated using PB algorithm. The eMC computation time ranged from 5 min to 66 min on a single 2.66 GHz desktop, which is comparable with PB algorithm calculation time for the same resolution level.PACS number: 87.55.K‐
机译:商业电子蒙特卡洛(eMC)剂量计算算法已在Eclipse治疗计划系统中可用。这项工作的目的是评估eMC算法并研究该系统的临床实现。 eMC算法的射束建模是针对Varian Trilogy的6、9、12、16和20 MeV射束能量以及Eclipse治疗计划系统中所有可用的施涂器尺寸进行的。在均匀水体模型,包含肺和骨物质的固体水体模型以及拟人体模中评估了eMC算法的准确性。此外,在同一治疗计划系统中针对异形体模,比较了笔形束(PB)和eMC算法之间的剂量计算精度。 eMC计算与测量之间的总体一致性在3%/ 2 mm之内,而PB算法在存在骨和肺等不均匀性的情况下预测剂量分布时存在较大误差(高达25%)。通过对15例头部,颈部,乳房,胸壁和胸骨有病变的患者进行治疗计划,研究了eMC算法的临床实施情况。使用PB和eMC算法计算剂量分布,不进行平滑处理,并且将所有三个级别的3D高斯平滑处理进行比较。基于常规的电子束治疗处方方法,发现随着3D高斯平滑度的提高,eMC计算的监控器(MU)数量会增加。 3D高斯平滑大大改善了剂量分布的视觉可用性,并产生了更好的目标覆盖率。当治疗计划中存在斜射束入射,表面不规则和异质组织时,eMC和PB算法之间计算出的MU和剂量分布的差异可能会很明显。在我们的患者案例中,PB和eMC算法之间的监视单元差异高达7%。监测器单位的计算也是基于点剂量处方进行的。 eMC算法的计算特征是在低密度区域(如肺和气腔)的穿透更深。结果,使用PB算法低估了低密度区域的平均剂量。在单个2.66 GHz台式机上,eMC的计算时间从5分钟到66分钟不等,与相同分辨率级别的PB算法计算时间相当.PACS编号:87.55.K-

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