Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, United States of America. Author to whom any correspondence should be addressed.
Phys Med Biol. 2018 Sep 28;63(19):195007. doi: 10.1088/1361-6560/aadf7d.
The purpose of this work was to investigate radiotherapy underdosing at the periphery of lung tumors, and differences in dose for treatments delivered with flattening filter-free (FFF) beams and with conventional flattened (FF) beams. The true differences between these delivery approaches, as assessed with Monte Carlo simulations, were compared to the apparent differences seen with clinical treatment planning algorithms AAA and Acuros XB. Dose was calculated in a phantom comprised of a chest wall, lung parenchyma, and a spherical tumor (tested diameters: 1, 3, and 5 cm). Three lung densities were considered: 0.26, 0.2, and 0.1 g cm, representing normal lung, lung at full inspiration, and emphysematous lung, respectively. The dose was normalized to 50 Gy to the tumor center and delivered with 7 coplanar, unmodulated 6 MV FFF or FF beams. Monte Carlo calculations used EGSnrc and phase space files for the TrueBeam accelerator provided by Varian Medical Systems. Voxel sizes were 0.5 mm for the 1 cm tumor and 1 mm for the larger tumors. AAA and Acuros XB dose calculations were performed in Eclipse with a 2.5 mm dose grid, the resolution normally used clinically. Monte Carlo dose distributions showed that traditional FF beams underdosed the periphery of the tumor by up to ~2 Gy as compared to FFF beams; the latter provided a more uniform dose throughout the tumor. In all cases, the underdosed region was a spherical shell about 5 mm thick around the tumor and extending into the tumor by 2-3 mm. The effect was most pronounced for smaller tumors and lower lung densities. The underdosing observed with conventional FF beams was not captured by the clinical treatment planning systems. We concluded that FFF beams mitigate dose loss at tumor periphery and current clinical practice fails to capture tumor periphery underdosing and possible ways to mitigate it.
本研究旨在探讨肺部肿瘤周边放疗剂量不足的问题,以及使用非均整滤过(FFF)射束和常规均整滤过(FF)射束进行治疗的剂量差异。通过蒙特卡罗模拟评估了这两种输送方法之间的真实差异,并将其与临床治疗计划算法 AAA 和 Acuros XB 所观察到的明显差异进行了比较。在一个包含胸壁、肺实质和一个球形肿瘤的体模中计算了剂量(测试直径:1、3 和 5cm)。考虑了三种肺密度:0.26、0.2 和 0.1gcm,分别代表正常肺、肺完全吸气时的肺和肺气肿时的肺。将剂量归一化为肿瘤中心的 50Gy,并使用 7 个共面、未调制的 6MVFFF 或 FF 射束进行照射。蒙特卡罗计算使用 EGSnrc 和由瓦里安医疗系统提供的 TrueBeam 加速器的相空间文件。对于 1cm 肿瘤,体素大小为 0.5mm,对于较大的肿瘤,体素大小为 1mm。AAA 和 Acuros XB 剂量计算在 Eclipse 中进行,使用 2.5mm 的剂量网格,这是临床上通常使用的分辨率。蒙特卡罗剂量分布表明,与 FFF 射束相比,传统的 FF 射束使肿瘤周边的剂量降低了高达约 2Gy;后者在整个肿瘤中提供了更均匀的剂量。在所有情况下,低剂量区域都是一个约 5mm 厚的球形壳,围绕肿瘤并向肿瘤内延伸 2-3mm。对于较小的肿瘤和较低的肺密度,这种情况更为明显。临床治疗计划系统未能捕捉到传统 FF 射束观察到的剂量不足。我们得出结论,FFF 射束减轻了肿瘤周边的剂量损失,而当前的临床实践未能捕捉到肿瘤周边的剂量不足及其可能的缓解方法。