Wang Peng, Tang Shikui, Taylor Paige A, Cummings David E, Janson Martin, Traneus Erik, Sturgeon Jared D, Lee Andrew K, Chang Chang
Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD.
Texas Center for Proton Therapy, Irving, TX.
Med Dosim. 2019;44(2):122-129. doi: 10.1016/j.meddos.2018.04.001. Epub 2018 May 11.
The objective of this study was to examine the use of proton pencil beam scanning for the treatment of moving lung tumors. A single-field uniform dose proton pencil beam scanning (PBS) plan was generated for the standard thorax phantom designed by the Imaging and Radiation Oncology Core (IROC) Houston QA Center. Robust optimization, including range and setup uncertainties as well as volumetric repainting, was used for the plan. Patient-specific quality assurance (QA) measurements were performed using both a water tank and a custom heterogeneous QA phantom. A custom moving phantom was used to find the optimal number of volumetric repainting. Both analytical and Monte Carlo (MC) algorithms were used for dose calculation and their accuracies were compared with actual measurements. A single ionization chamber, a 2-dimensional ionization chamber array, thermoluminescent dosimeters (TLDs), and films were used for dose measurements. The optimal number of volumetric repainting was found to be 4 times in our system. The mean dose overestimations on a moving target by analytical and MC algorithms based on a time-averaged computed tomography (CT) image of the phantom were found to be 4.8% and 2.4%, respectively. The mean gamma indexes for analytical and MC algorithms were 91% and 96%, respectively. The MC dose algorithm calculation was found to have a better agreement with measurements compared with the analytical algorithm. When treating moving lung tumors using proton PBS, the techniques of robust optimization, volumetric repainting, and MC dose calculation were found effective. Extra care needs to be taken when an analytical dose calculation algorithm is used.
本研究的目的是探讨质子笔形束扫描在移动性肺部肿瘤治疗中的应用。针对由休斯顿成像与放射肿瘤学核心(IROC)QA中心设计的标准胸部体模,生成了单野均匀剂量质子笔形束扫描(PBS)计划。该计划采用了稳健优化,包括射程和摆位不确定性以及体积重绘。使用水箱和定制的非均匀QA体模进行了患者特异性质量保证(QA)测量。使用定制的移动体模来确定最佳的体积重绘次数。剂量计算同时使用了解析算法和蒙特卡罗(MC)算法,并将它们的准确性与实际测量结果进行了比较。使用单个电离室、二维电离室阵列、热释光剂量计(TLD)和胶片进行剂量测量。在我们的系统中,发现最佳的体积重绘次数为4次。基于体模的时间平均计算机断层扫描(CT)图像,解析算法和MC算法对移动靶的平均剂量高估分别为4.8%和2.4%。解析算法和MC算法的平均伽马指数分别为91%和96%。与解析算法相比,发现MC剂量算法计算与测量结果的一致性更好。当使用质子PBS治疗移动性肺部肿瘤时,稳健优化、体积重绘和MC剂量计算技术被证明是有效的。使用解析剂量计算算法时需要格外小心。