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Geometrical and dosimetrical uncertainties in hypofractionated radiotherapy of the lung: A review.肺部大分割放射治疗中的几何和剂量学不确定性:综述
Phys Med. 2017 Apr;36:126-139. doi: 10.1016/j.ejmp.2017.02.011. Epub 2017 Feb 24.
2
Analysis of Lung Tumor Motion in a Large Sample: Patterns and Factors Influencing Precise Delineation of Internal Target Volume.大样本中肺肿瘤运动分析:影响内靶区精确勾画的模式及因素
Int J Radiat Oncol Biol Phys. 2016 Nov 15;96(4):751-758. doi: 10.1016/j.ijrobp.2016.08.008. Epub 2016 Aug 20.
3
Radiobiological impact of dose calculation algorithms on biologically optimized IMRT lung stereotactic body radiation therapy plans.剂量计算算法对生物优化的IMRT肺部立体定向体部放射治疗计划的放射生物学影响。
Radiat Oncol. 2016 Jan 22;11:10. doi: 10.1186/s13014-015-0578-2.
4
Optimizing the flattening filter free beam selection in RapidArc®-based stereotactic body radiotherapy for Stage I lung cancer.优化基于容积旋转调强放疗(RapidArc®)的立体定向体部放疗中针对I期肺癌的无均整器射束选择
Br J Radiol. 2015 Sep;88(1053):20140827. doi: 10.1259/bjr.20140827. Epub 2015 Jul 2.
5
Flattening filter-free accelerators: a report from the AAPM Therapy Emerging Technology Assessment Work Group.无均整器加速器:美国医学物理学家协会治疗新兴技术评估工作组的报告
J Appl Clin Med Phys. 2015 May 8;16(3):5219. doi: 10.1120/jacmp.v16i3.5219.
6
National dosimetric audit network finds discrepancies in AAA lung inhomogeneity corrections.国家剂量学审核网络发现AAA肺部不均匀性校正存在差异。
Phys Med. 2015 Jul;31(5):435-41. doi: 10.1016/j.ejmp.2015.04.002. Epub 2015 Apr 23.
7
Monte Carlo simulation of TrueBeam flattening-filter-free beams using varian phase-space files: comparison with experimental data.使用瓦里安相空间文件对TrueBeam无均整器光束进行蒙特卡罗模拟:与实验数据的比较。
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Correlation of dose computed using different algorithms with local control following stereotactic ablative radiotherapy (SABR)-based treatment of non-small-cell lung cancer.使用不同算法计算的剂量与立体定向消融放疗(SABR)治疗非小细胞肺癌后的局部控制的相关性。
Radiother Oncol. 2013 Dec;109(3):498-504. doi: 10.1016/j.radonc.2013.10.012. Epub 2013 Nov 11.
9
Dosimetric accuracy and clinical quality of Acuros XB and AAA dose calculation algorithm for stereotactic and conventional lung volumetric modulated arc therapy plans.用于立体定向和传统肺容积调强弧形放疗计划的Acuros XB和AAA剂量计算算法的剂量学准确性和临床质量。
Radiat Oncol. 2013 Jun 24;8:149. doi: 10.1186/1748-717X-8-149.
10
A Monte Carlo approach to validation of FFF VMAT treatment plans for the TrueBeam linac.一种用于 TrueBeam 直线加速器的 FFF VMAT 治疗计划验证的蒙特卡罗方法。
Med Phys. 2013 Feb;40(2):021707. doi: 10.1118/1.4773883.

肺癌放射治疗:FFF 射束可改善因电子失衡而受损的肿瘤周边剂量覆盖。

Radiotherapy of lung cancers: FFF beams improve dose coverage at tumor periphery compromised by electronic disequilibrium.

机构信息

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.

出版信息

Phys Med Biol. 2018 Sep 28;63(19):195007. doi: 10.1088/1361-6560/aadf7d.

DOI:10.1088/1361-6560/aadf7d
PMID:30189421
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6192016/
Abstract

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.

摘要

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。