Evaluation and Comparison of AAA and AXB Dose Calculation Algorithms for Lung SBRT on TrueBeam STx with Eclipse 13.6

Hong Lam Pham, Tien Dung Phan, Phuong Quy Vu, Quang Trung Pham
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Abstract

This study aims to comprehensively evaluate and compare lung Stereotactic Body Radiation Therapy (SBRT) dose distribution using the Eclipse v13.6 treatment planning system and TrueBeam STx linac data, employing two dose calculation algorithms: Analytical Anisotropic Algorithm (AAA) and Acuros External Beam (AXB). Utilizing thirty-five 4DCT lung SBRT datasets, dose calculations were performed with both algorithms, maintaining consistent setup conditions except for the varied calculation algorithm. Evaluation criteria included tumor dose distribution Conformity Index (CI), Homogeneity Index (HI), Gradient Index (GI), D2cm, V105%, Dmax and organs-at-risk (OAR) doses, assessed via Dose Volume Histogram (DVH) analysis. Additionally, linac parameters such as Monitor Unit (MU) and Beam on Time (BoT) were analyzed. Both algorithms met dose criteria for tumors and OAR tolerance. Minor differences were observed in tumor distribution indices, with AXB's Gradient Index showing proximity to ideal values. Although AXB exhibited slightly higher OAR doses, differences were statistically insignificant. AXB also demonstrated reduced average MUs and BoT. This comparative analysis underscores the efficacy of both AAA and AXB algorithms in ensuring dose conformity and OAR tolerance in lung SBRT planning, with AXB potentially offering improvements in efficiency and patient safety.
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使用 Eclipse 13.6 的 TrueBeam STx 肺 SBRT 的 AAA 和 AXB 剂量计算算法评估与比较
本研究旨在利用 Eclipse v13.6 治疗计划系统和 TrueBeam STx 直列加速器数据,采用两种剂量计算算法,全面评估和比较肺立体定向体外放射治疗(SBRT)的剂量分布:分析各向异性算法 (AAA) 和 Acuros 外部光束 (AXB)。利用 35 个 4DCT 肺部 SBRT 数据集,使用两种算法进行剂量计算,除计算算法不同外,其他设置条件保持一致。评估标准包括肿瘤剂量分布一致性指数(CI)、均匀性指数(HI)、梯度指数(GI)、D2cm、V105%、Dmax 和危险器官(OAR)剂量,通过剂量容积直方图(DVH)分析进行评估。此外,还分析了直列加速器参数,如监控单元(MU)和光束照射时间(BoT)。两种算法都符合肿瘤剂量标准和OAR耐受性标准。肿瘤分布指数略有不同,AXB 的梯度指数接近理想值。虽然 AXB 的 OAR 剂量略高,但差异在统计学上并不显著。AXB 的平均 MU 和 BoT 也有所降低。这项对比分析强调了 AAA 算法和 AXB 算法在肺部 SBRT 规划中确保剂量一致性和 OAR 容限方面的功效,其中 AXB 有可能提高效率和患者安全性。
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A study on the application of artificial neural network to predict k-eff and peaking factor of a small modular PWR Development of a Compact Digital Multichannel Analyzer based on FPGA Thermoluminescence characteristics of in-house synthesized K2GdF5:Tb powder for photon and neutron Study on the repeatability and reproducibility of low-level radioactivity measurements using the analysis of variance tool Evaluation and Comparison of AAA and AXB Dose Calculation Algorithms for Lung SBRT on TrueBeam STx with Eclipse 13.6
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