School of Computer Science and Technology, Shandong Jianzhu University, Jinan, PR China.
Department of Radiation Oncology, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, PR China.
Comput Methods Programs Biomed. 2021 Sep;209:106338. doi: 10.1016/j.cmpb.2021.106338. Epub 2021 Aug 5.
To evaluate the quality of robust stereotactic body proton therapy (RSBPT) plans generated by one-clicking scripting method for patients with lung cancer.
Retrospective analysis was performed on fifty lung cancer patients whose plan with robustly stereotactic body radiation therapy (SBRT). Thirty out of fifty patients were used for training to build a regression model, based on robust SBRT reference doses, to predict EUD values of ROIs for robust SBPT planning. Thereafter, robust SBPT plans with both automated EUD-Based mimicking (Automated Robust Proton ARP) and manual (Manual Robust Proton MRP) methods were evaluated in the remaining 20 patients. Plans were compared in terms of dosimetric parameters and planning time.
A statistically significantly improvement in target dose fall off was observed for ARP plans compare to MRP plans (Dose fall off: 135 for MRP and 88 for ARP, p < 0.01), while no differences in target coverage and conformity. A statistically significantly reduce in normal lung tissue were observed for ARP plans compare to MRP plans (Lung [D cGy (RBE)]: MRP: 478 vs. ARP: 351, p < 0.01; Lung [V (%)]: MRP: 16.1 vs. ARP: 12.1, p < 0.01; Lung [V (%)]: MRP: 8.5 vs. ARP: 6.8, p < 0.01). Planning time was reduced for ARP plans compare to MRP plans (optimization time: 12 min for MRP vs. 8 min for ARP; total plan time: 23 min for MRP vs. 18 min for ARP).
The automated robust SBPT plans using EUD-Based mimicking of SBRT reference dose improve target dose fall off, reduced the radiation doses to the lungs, reduce planning time, which might be beneficial for patient with lung cancer in clinical.
评估一键式脚本方法生成的肺癌稳健立体定向体质子治疗（RSBPT）计划的质量。
对 50 例接受立体定向体放射治疗（SBRT）的肺癌患者的计划进行回顾性分析。其中 30 例用于建立回归模型，根据稳健 SBRT 参考剂量预测 ROIs 的 EUD 值，用于稳健 SBPT 计划。然后，在其余 20 例患者中评估基于 EUD 的自动模拟（自动稳健质子 ARP）和手动（手动稳健质子 MRP）方法的稳健 SBPT 计划。比较计划的剂量学参数和计划时间。
与 MRP 计划相比，ARP 计划的靶区剂量下降明显改善（剂量下降：MRP 为 135，ARP 为 88，p <0.01），而靶区覆盖率和适形性无差异。ARP 计划较 MRP 计划明显降低了正常肺组织的剂量（Lung [D cGy（RBE）]：MRP：478 比 ARP：351，p <0.01；Lung [V（%）]：MRP：16.1 比 ARP：12.1，p <0.01；Lung [V（%）]：MRP：8.5 比 ARP：6.8，p <0.01）。与 MRP 计划相比，ARP 计划的计划时间明显缩短（优化时间：MRP 为 12 分钟，ARP 为 8 分钟；总计划时间：MRP 为 23 分钟，ARP 为 18 分钟）。
使用 SBRT 参考剂量的 EUD 模拟的自动稳健 SBPT 计划可改善靶区剂量下降，降低肺部剂量，缩短计划时间，这可能对肺癌患者的临床治疗有益。
