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韩国国立癌症中心使用TOPAS进行蒙特卡罗模拟的被动散射质子治疗独立剂量验证系统。

Independent dose verification system with Monte Carlo simulations using TOPAS for passive scattering proton therapy at the National Cancer Center in Korea.

作者信息

Shin Wook-Geun, Testa Mauro, Kim Hak Soo, Jeong Jong Hwi, Lee Se Byeong, Kim Yeon-Joo, Min Chul Hee

机构信息

Department of Radiation Convergence Engineering, Yonsei University, Wonju, Korea.

出版信息

Phys Med Biol. 2017 Sep 12;62(19):7598-7616. doi: 10.1088/1361-6560/aa8663.

Abstract

For the independent validation of treatment plans, we developed a fully automated Monte Carlo (MC)-based patient dose calculation system with the tool for particle simulation (TOPAS) and proton therapy machine installed at the National Cancer Center in Korea to enable routine and automatic dose recalculation for each patient. The proton beam nozzle was modeled with TOPAS to simulate the therapeutic beam, and MC commissioning was performed by comparing percent depth dose with the measurement. The beam set-up based on the prescribed beam range and modulation width was automated by modifying the vendor-specific method. The CT phantom was modeled based on the DICOM CT files with TOPAS-built-in function, and an in-house-developed C++ code directly imports the CT files for positioning the CT phantom, RT-plan file for simulating the treatment plan, and RT-structure file for applying the Hounsfield unit (HU) assignment, respectively. The developed system was validated by comparing the dose distributions with those calculated by the treatment planning system (TPS) for a lung phantom and two patient cases of abdomen and internal mammary node. The results of the beam commissioning were in good agreement of up to 0.8 mm [Formula: see text] for B8 option in both of the beam range and the modulation width of the spread-out Bragg peaks. The beam set-up technique can predict the range and modulation width with an accuracy of 0.06% and 0.51%, respectively, with respect to the prescribed range and modulation in arbitrary points of B5 option (128.3, 132.0, and 141.2 mm [Formula: see text] of range). The dose distributions showed higher than 99% passing rate for the 3D gamma index (3 mm distance to agreement and 3% dose difference) between the MC simulations and the clinical TPS in the target volume. However, in the normal tissues, less favorable agreements were obtained for the radiation treatment planning with the lung phantom and internal mammary node cases. The discrepancies might come from the limitations of the clinical TPS, which is the inaccurate dose calculation algorithm for the scattering effect, in the range compensator and inhomogeneous material. Moreover, the steep slope of the compensator, conversion of the HU values to the human phantom, and the dose calculation algorithm for the HU assignment also could be reasons of the discrepancies. The current study could be used for the independent dose validation of treatment plans including high inhomogeneities, the steep compensator, and riskiness such as lung, head & neck cases. According to the treatment policy, the dose discrepancies predicted with MC could be used for the acceptance decision of the original treatment plan.

摘要

为了对治疗计划进行独立验证,我们利用韩国国立癌症中心安装的带有粒子模拟工具(TOPAS)的全自动化基于蒙特卡罗(MC)的患者剂量计算系统以及质子治疗机,实现对每位患者进行常规和自动的剂量重新计算。使用TOPAS对质子束喷嘴进行建模以模拟治疗束,并通过将百分深度剂量与测量值进行比较来进行MC调试。通过修改供应商特定方法,基于规定的射束范围和调制宽度实现射束设置自动化。利用TOPAS内置功能基于DICOM CT文件对CT体模进行建模,并且一个内部开发的C++代码分别直接导入CT文件以定位CT体模、导入RT计划文件以模拟治疗计划以及导入RT结构文件以应用亨氏单位(HU)赋值。通过将肺体模以及腹部和内乳淋巴结的两个患者病例的剂量分布与治疗计划系统(TPS)计算的剂量分布进行比较,对所开发的系统进行了验证。在扩展布拉格峰的射束范围和调制宽度方面,对于B8选项,射束调试结果在高达0.8毫米[公式:见原文]的范围内具有良好一致性。对于B5选项(范围为128.3、132.0和141.2毫米[公式:见原文])的任意点,射束设置技术相对于规定的范围和调制,能够分别以0.06%和0.51%的精度预测范围和调制宽度。在目标体积中,MC模拟与临床TPS之间的三维伽马指数(距离一致性为3毫米且剂量差异为3%)显示剂量分布的通过率高于99%。然而,在正常组织中,对于肺体模和内乳淋巴结病例的放射治疗计划,一致性较差。这些差异可能源于临床TPS的局限性,即在范围补偿器和不均匀材料中对于散射效应的剂量计算算法不准确。此外,补偿器的陡坡、HU值向人体体模的转换以及HU赋值的剂量计算算法也可能是差异的原因。当前的研究可用于对包括高度不均匀性、陡坡补偿器以及肺部、头颈部病例等风险情况的治疗计划进行独立剂量验证。根据治疗策略,MC预测的剂量差异可用于对原始治疗计划的验收决策。

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