Fuchs Hermann, Alber Markus, Schreiner Thomas, Georg Dietmar
Department of Radiation Oncology, Division of Medical Radiation Physics, Medical University of Vienna/AKH Vienna, Vienna 1090, Austria and Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University of Vienna, Vienna 1090, Austria.
Department for Oncology, Aarhus University Hospital, Aarhus 8000, Denmark.
Med Phys. 2015 Sep;42(9):5157-66. doi: 10.1118/1.4927789.
Helium ions ((4)He) may supplement current particle beam therapy strategies as they possess advantages in physical dose distribution over protons. To assess potential clinical advantages, a dose calculation module accounting for relative biological effectiveness (RBE) was developed and integrated into the treatment planning system Hyperion.
Current knowledge on RBE of (4)He together with linear energy transfer considerations motivated an empirical depth-dependent "zonal" RBE model. In the plateau region, a RBE of 1.0 was assumed, followed by an increasing RBE up to 2.8 at the Bragg-peak region, which was then kept constant over the fragmentation tail. To account for a variable proton RBE, the same model concept was also applied to protons with a maximum RBE of 1.6. Both RBE models were added to a previously developed pencil beam algorithm for physical dose calculation and included into the treatment planning system Hyperion. The implementation was validated against Monte Carlo simulations within a water phantom using γ-index evaluation. The potential benefits of (4)He based treatment plans were explored in a preliminary treatment planning comparison (against protons) for four treatment sites, i.e., a prostate, a base-of-skull, a pediatric, and a head-and-neck tumor case. Separate treatment plans taking into account physical dose calculation only or using biological modeling were created for protons and (4)He.
Comparison of Monte Carlo and Hyperion calculated doses resulted in a γ mean of 0.3, with 3.4% of the values above 1 and γ 1% of 1.5 and better. Treatment plan evaluation showed comparable planning target volume coverage for both particles, with slightly increased coverage for (4)He. Organ at risk (OAR) doses were generally reduced using (4)He, some by more than to 30%. Improvements of (4)He over protons were more pronounced for treatment plans taking biological effects into account. All OAR doses were within tolerances specified in the QUANTEC report.
The biological (4)He model proposed above is a first approach matching biological data published so far. The advantage of (4)He seems to lie in the reduction of dose to surrounding tissue and to OARs. Nevertheless, additional biological experiments and treatment planning studies with larger patient numbers and more tumor indications are necessary to study the possible benefits of helium ion beam therapy in detail.
氦离子(⁴He)可能会补充当前的粒子束治疗策略,因为它们在物理剂量分布方面比质子具有优势。为了评估潜在的临床优势,开发了一个考虑相对生物效应(RBE)的剂量计算模块,并将其集成到治疗计划系统Hyperion中。
关于⁴He的RBE的现有知识以及线能量转移的考虑因素促使建立了一个基于深度的经验性“分区”RBE模型。在坪区,假定RBE为1.0,随后RBE逐渐增加,在布拉格峰区达到2.8,然后在碎片尾部保持恒定。为了考虑质子RBE的变化,相同的模型概念也应用于质子,其最大RBE为1.6。这两个RBE模型都添加到了先前开发的用于物理剂量计算的笔形束算法中,并纳入了治疗计划系统Hyperion。通过在水模体中使用γ指数评估与蒙特卡罗模拟进行对比,验证了该实现方法。在针对四个治疗部位(即前列腺、颅底、儿科和头颈肿瘤病例)的初步治疗计划比较(与质子对比)中,探索了基于⁴He的治疗计划的潜在益处。针对质子和⁴He分别创建了仅考虑物理剂量计算或使用生物建模的单独治疗计划。
蒙特卡罗计算剂量与Hyperion计算剂量的比较得出γ平均值为0.3,1%的值高于1,γ ¹%为1.5及更好。治疗计划评估显示,两种粒子的计划靶体积覆盖率相当,⁴He的覆盖率略有增加。使用⁴He时,危及器官(OAR)的剂量通常会降低,有些降低幅度超过30%。对于考虑生物效应的治疗计划,⁴He相对于质子的改善更为明显。所有OAR剂量均在QUANTEC报告规定的公差范围内。
上述提出的⁴He生物模型是与目前已发表的生物数据相匹配的第一种方法。⁴He的优势似乎在于减少对周围组织和OAR的剂量。然而,需要进行更多的生物实验以及针对更多患者数量和更多肿瘤适应症的治疗计划研究,以详细研究氦离子束治疗的潜在益处。