Henjum Helge, Dahle Tordis J, Fjæra Lars Fredrik, Rørvik Eivind, Pilskog Sara, Stokkevåg Camilla H, Mairani Andrea, Ytre-Hauge Kristian S
Department of Physics and Technology, University of Bergen, Bergen, Norway.
Department of Oncology and Medical Physics, Haukeland University Hospital, Bergen, Norway.
Adv Radiat Oncol. 2021 Aug 17;6(6):100776. doi: 10.1016/j.adro.2021.100776. eCollection 2021 Nov-Dec.
Variable relative biological effectiveness (RBE) models allow for differences in linear energy transfer (LET), physical dose, and tissue type to be accounted for when quantifying and optimizing the biological damage of protons. These models are complex and fraught with uncertainties, and therefore, simpler RBE optimization strategies have also been suggested. Our aim was to compare several biological optimization strategies for proton therapy by evaluating their performance in different clinical cases.
Two different optimization strategies were compared: full variable RBE optimization and differential RBE optimization, which involve applying fixed RBE for the planning target volume (PTV) and variable RBE in organs at risk (OARs). The optimization strategies were coupled to 2 variable RBE models and 1 LET-weighted dose model, with performance demonstrated on 3 different clinical cases: brain, head and neck, and prostate tumors.
In cases with low in the tumor, the full RBE optimization strategies had a large effect, with up to 10% reduction in RBE-weighted dose to the PTV and OARs compared with the reference plan, whereas smaller variations (<5%) were obtained with differential optimization. For tumors with high the differential RBE optimization strategy showed a greater reduction in RBE-weighted dose to the OARs compared with the reference plan and the full RBE optimization strategy.
Differences between the optimization strategies varied across the studied cases, influenced by both biological and physical parameters. Whereas full RBE optimization showed greater OAR sparing, awareness of underdosage to the target must be carefully considered.
可变相对生物效应(RBE)模型在量化和优化质子的生物损伤时,能够考虑线性能量传递(LET)、物理剂量和组织类型的差异。这些模型复杂且充满不确定性,因此,也有人提出了更简单的RBE优化策略。我们的目的是通过评估几种生物优化策略在不同临床病例中的表现,来比较它们在质子治疗中的效果。
比较了两种不同的优化策略:全可变RBE优化和差异RBE优化,其中差异RBE优化涉及对计划靶区(PTV)应用固定的RBE,而对危及器官(OARs)应用可变的RBE。这些优化策略与2种可变RBE模型和1种LET加权剂量模型相结合,并在3种不同的临床病例中展示了其性能:脑肿瘤、头颈部肿瘤和前列腺肿瘤。
在肿瘤中低 的病例中,全RBE优化策略效果显著,与参考计划相比,PTV和OARs的RBE加权剂量降低了10%,而差异优化的变化较小(<5%)。对于高 的肿瘤,差异RBE优化策略与参考计划和全RBE优化策略相比,对OARs的RBE加权剂量降低幅度更大。
优化策略之间的差异在所研究的病例中各不相同,受到生物学和物理参数的影响。虽然全RBE优化显示出对OARs有更大的保护作用,但必须仔细考虑靶区剂量不足的问题。