Department of Accelerator and Medical Physics, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology (QST), 4-9-1 Anagawa, Inage-ku, Chiba 263-8555, Japan.
Medical Physics Laboratory, Division of Health Science, Graduate School of Medicine, Osaka University, 1-7 Yamadaoka, Suita, Osaka 565-0871, Japan.
Phys Med Biol. 2024 May 20;69(11). doi: 10.1088/1361-6560/ad4085.
Treatment plans of ion-beam therapy have been made under an assumption that all cancer cells within a tumour equally respond to a given radiation dose. However, an intra-tumoural cellular radiosensitivity heterogeneity clearly exists, and it may lead to an overestimation of therapeutic effects of the radiation. The purpose of this study is to develop a biological model that can incorporate the radiosensitivity heterogeneity into biological optimization for ion-beam therapy treatment planning.The radiosensitivity heterogeneity was modeled as the variability of a cell-line specific parameter in the microdosimetric kinetic model following the gamma distribution. To validate the developed intra-tumoural-radiosensitivity-heterogeneity-incorporated microdosimetric kinetic (HMK) model, a treatment plan with H-ion beams was made for a chordoma case, assuming a radiosensitivity heterogeneous region within the tumour. To investigate the effects of the radiosensitivity heterogeneity on the biological effectiveness of H-, He-, C-, O-, and Ne-ion beams, the relative biological effectiveness (RBE)-weighted dose distributions were planned for a cuboid target with the stated ion beams without considering the heterogeneity. The planned dose distributions were then recalculated by taking the heterogeneity into account.. The cell survival fraction and corresponding RBE-weighted dose were formulated based on the HMK model. The first derivative of the RBE-weighted dose distribution was also derived, which is needed for fast biological optimization. For the patient plan, the biological optimization increased the dose to the radiosensitivity heterogeneous region to compensate for the heterogeneity-induced reduction in biological effectiveness of the H-ion beams. The reduction in biological effectiveness due to the heterogeneity was pronounced for low linear energy transfer (LET) beams but moderate for high-LET beams. The RBE-weighted dose in the cuboid target decreased by 7.6% for the H-ion beam, while it decreased by just 1.4% for the Ne-ion beam.Optimal treatment plans that consider intra-tumoural cellular radiosensitivity heterogeneity can be devised using the HMK model.
离子束治疗的方案是基于这样的假设,即肿瘤内的所有癌细胞对给定的辐射剂量都有相同的反应。然而,肿瘤内的细胞放射敏感性异质性是明显存在的,这可能导致对辐射治疗效果的高估。本研究的目的是开发一种生物模型,该模型可以将放射敏感性异质性纳入离子束治疗计划的生物优化中。放射敏感性异质性被建模为微剂量动力学模型中特定细胞系参数的变化,遵循伽马分布。为了验证所开发的纳入肿瘤内放射敏感性异质性的微剂量动力学(HMK)模型,对一个软骨肉瘤病例进行了 H 离子束治疗计划,假设肿瘤内存在一个放射敏感性异质性区域。为了研究放射敏感性异质性对 H、He、C、O 和 Ne 离子束的生物有效性的影响,在不考虑异质性的情况下,为一个长方体目标规划了相对生物有效性(RBE)加权剂量分布。然后,考虑到异质性,重新计算了规划的剂量分布。基于 HMK 模型,制定了细胞存活分数和相应的 RBE 加权剂量。还推导了 RBE 加权剂量分布的一阶导数,这对于快速生物优化是必要的。对于患者计划,生物优化增加了放射敏感性异质性区域的剂量,以补偿 H 离子束生物有效性因异质性而降低的部分。由于异质性导致的生物有效性降低对于低线性能量传递(LET)束是显著的,但对于高线性能量传递束是中等的。对于 H 离子束,长方体目标中的 RBE 加权剂量降低了 7.6%,而对于 Ne 离子束,仅降低了 1.4%。使用 HMK 模型可以设计出考虑肿瘤内细胞放射敏感性异质性的最佳治疗计划。