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Radiobiological impact of dose calculation algorithms on biologically optimized IMRT lung stereotactic body radiation therapy plans

机译:剂量计算算法对生物优化的IMRT肺立体定向身体放射治疗计划的放射生物学影响

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The aim of this study is to evaluate the radiobiological impact of Acuros XB (AXB) vs. Anisotropic Analytic Algorithm (AAA) dose calculation algorithms in combined dose-volume and biological optimized IMRT plans of SBRT treatments?for non-small-cell lung cancer (NSCLC) patients. Twenty eight patients with NSCLC previously treated SBRT were re-planned using Varian Eclipse (V11) with combined dose-volume and biological optimization IMRT sliding window technique. The total dose prescribed to the PTV was 60?Gy with 12?Gy per fraction. The plans were initially optimized using AAA algorithm, and then were recomputed using AXB using the same MUs and MLC files to compare with the dose distribution of the original plans and assess the radiobiological as well as dosimetric impact of the two different dose algorithms. The Poisson Linear-Quadatric (PLQ) and Lyman-Kutcher-Burman (LKB) models were used for estimating the tumor control probability (TCP) and normal tissue complication probability (NTCP), respectively. The influence of the model parameter uncertainties on the TCP differences and the NTCP differences between AAA and AXB plans were studied by applying different sets of published model parameters. Patients were grouped into peripheral and centrally-located tumors to evaluate the impact of tumor location. PTV dose was lower in the re-calculated AXB plans, as compared to AAA plans. The median differences of PTV(D95%) were 1.7?Gy (range: 0.3, 6.5?Gy) and 1.0?Gy (range: 0.6, 4.4?Gy) for peripheral tumors and centrally-located tumors, respectively. The median differences of PTV(mean) were 0.4?Gy (range: 0.0, 1.9?Gy) and 0.9?Gy (range: 0.0, 4.3?Gy) for peripheral tumors and centrally-located tumors, respectively. TCP was also found lower in AXB-recalculated plans compared with the AAA plans. The median (range) of the TCP differences for 30?month local control were 1.6?% (0.3?%, 5.8?%) for peripheral tumors and 1.3?% (0.5?%, 3.4?%) for centrally located tumors. The lower TCP is associated with the lower PTV coverage in AXB-recalculated plans. No obvious trend was observed between the calculation-resulted TCP differences and tumor size or location. AAA and AXB yield very similar NTCP on lung pneumonitis according to the LKB model estimation in the present study. AAA apparently overestimates the PTV dose; the magnitude of resulting difference in calculated TCP was up to 5.8?% in our study. AAA and AXB yield very similar NTCP on lung pneumonitis based on the LKB model parameter sets we used in the present study.
机译:本研究旨在评估Acuros XB(AXB)与各向异性分析算法(AAA)剂量计算算法在非小细胞肺癌SBRT治疗的剂量-剂量和生物学优化IMRT计划组合中的放射生物学影响(NSCLC)患者。使用Varian Eclipse(V11)结合剂量-体积和生物优化IMRT滑动窗口技术,重新规划了28例先前接受过SBRT治疗的NSCLC患者。 PTV的总剂量为60?Gy,每级分12?Gy。该计划最初使用AAA算法进行了优化,然后使用相同的MUs和MLC文件使用AXB重新计算,以与原始计划的剂量分布进行比较,并评估两种不同剂量算法的放射生物学和剂量学影响。用泊松线性四极(PLQ)模型和Lyman-Kutcher-Burman(LKB)模型分别估计肿瘤控制概率(TCP)和正常组织并发症概率(NTCP)。通过应用不同的已发布模型参数集,研究了模型参数不确定性对AAA和AXB计划之间的TCP差异和NTCP差异的影响。将患者分为周围和中心位置的肿瘤,以评估肿瘤位置的影响。重新计算的AXB计划中的PTV剂量低于AAA计划。对于周围性肿瘤和位于中心的肿瘤,PTV的中位差异(D95%)分别为1.7?Gy(范围:0.3、6.5?Gy)和1.0?Gy(范围:0.6、4.4?Gy)。对于周围肿瘤和位于中心的肿瘤,PTV的中位数差异分别为0.4?Gy(范围:0.0、1.9?Gy)和0.9?Gy(范围:0.0、4.3?Gy)。与AAA计划相比,在AXB重新计算的计划中还发现TCP较低。对于周围肿瘤,30个月局部对照的TCP差异的中值(范围)为1.6%(0.3%,5.8%),而对于中心肿瘤则为1.3%(0.5%,3.4%)。较低的TCP与AXB重新计算的计划中较低的PTV覆盖范围相关。在计算得出的TCP差异与肿瘤大小或位置之间没有观察到明显的趋势。根据本研究中的LKB模型估计,AAA和AXB在肺部肺炎上产生非常相似的NTCP。 AAA显然高估了PTV剂量;在我们的研究中,计算出的TCP产生的差异幅度高达5.8%。基于我们在本研究中使用的LKB模型参数集,AAA和AXB在肺部肺炎上产生非常相似的NTCP。

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