Characterization of robust optimization for VMAT plan for liver cancer
Characterization of robust optimization for VMAT plan for liver cancer
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DOI：
10.1016/j.rpor.2020.03.012
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发表时间：
2020-05-01
影响因子：
1.2
通讯作者：
Nagata, Yasushi
中科院分区：
文献类型：
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作者：
Miura, Hideharu;Ozawa, Shuichi;Nagata, Yasushi
目的：通过与基于计划靶区体积(PTV)的优化方案比较，探讨体积调节式弧形放射治疗(VMAT)和立体定向体部放射治疗(SBRT)治疗肝癌的稳健优化方案的可行性。评价治疗计划的质量、稳健性、复杂性和剂量传递的准确性。方法：选择10例肝癌患者。生成了具有8 mm PTV裕度的基于PTV的优化方案和具有8 mm设置不确定性的稳健优化方案。使用距离等中心的所有方向上8 mm的设置误差来评估计划扰动剂量。剂量学比较参数为临床靶体积(CTV)剂量(D-98%、D-50%和D-2%)、肝脏剂量和监测单位(MU)。使用VMAT调制复杂性评分(MCSv)评估计划复杂性。结果：两种优化方案在CTV剂量和MUS方面没有显著差异。稳健的优化计划比基于PTV的优化计划有更高的肝脏剂量。计划扰动剂量评估显示，稳健优化计划的CTV剂量变化很小。稳健的优化计划比基于PTV的优化计划更简单。结论：比较两种优化方案的治疗方案质量、稳健性和规划复杂性，稳健优化方案在肝癌VMAT中是可行的。(C)2020年大波兰癌症中心。爱思唯尔出版，版权所有。
Purpose: We investigated the feasibility of robust optimization for volumetric modulated arc therapy (VMAT) stereotactic body radiation therapy (SBRT) for liver cancer in comparison with planning target volume (PTV)-based optimized plans. Treatment plan quality, robustness, complexity, and accuracy of dose delivery were assessed.Methods: Ten liver cancer patients were selected for this study. PTV-based optimized plans with an 8-mm PTV margin and robust optimized plans with an 8-mm setup uncertainty were generated. Plan perturbed doses were evaluated using a setup error of 8 mm in all directions from the isocenter. The dosimetric comparison parameters were clinical target volume (CTV) doses (D-98%, D-50%, and D-2%), liver doses, and monitor unit (MU). Plan complexity was evaluated using the modulation complexity score for VMAT (MCSv).Results: There was no significant difference between the two optimizations with respect to CTV doses and MUs. Robust optimized plans had a higher liver dose than did PTV-based optimized plans. Plan perturbed dose evaluations showed that doses to the CTV for the robust optimized plans had small variations. Robust optimized plans were less complex than PTV-based optimized plans. Robust optimized plans had statistically significant fewer leaf position errors than did PTV-based optimized plans.Conclusions: Comparison of treatment plan quality, robustness, and plan complexity of both optimizations showed that robust optimization could be feasibile for VMAT of liver cancer. (C) 2020 Greater Poland Cancer Centre. Published by Elsevier B.V. All rights reserved.