基于 LET 的质子放疗微观模拟动力学模型近似。

IF 3.2 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Medical physics Pub Date : 2024-08-17 DOI:10.1002/mp.17337
Alessio Parisi, Keith M. Furutani, Tatsuhiko Sato, Chris J. Beltran
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引用次数: 0

摘要

背景:目前已开发出基于剂量平均线性能量传递(LET)的质子治疗现象学相对生物效应(RBE)模型,以解决质子射程末端 RBE 明显增加的问题。由于经验假设和拟合函数不同,这些现象模型的结果也大相径庭。相比之下,碳离子放射治疗采用了更多基于理论的方法,如微剂量测定动力学模型(MKM)。然而,在基于 LET 的质子治疗治疗计划系统中实施基于微观剂量学的模型是一项挑战。目的:这项研究提出了基于 LET 的 MKM 版本,该版本可用于质子放疗的临床应用:首先,我们针对质子等相对稀疏的电离辐射,推导出梅奥诊所佛罗里达(MCF)MKM 的近似值。所提模型的数学形式等同于原始 MKM,但保留了 MCF MKM 的一些关键特征,如根据可测量的细胞特征确定模型参数。随后,我们利用 PHITS 在不同的模拟场景中进行了蒙特卡罗计算,以建立微剂量测定量与质子剂量平均 LET 之间的启发式相关性:结果:发现一个简单的异计量函数能够描述质子剂量平均 LET 与剂量平均线能之间的关系,其中包括二次粒子的贡献。基于 LET 的 MKM 被用于模拟五种人类和啮齿动物细胞系(A549、AG01522、CHO、T98G 和 U87)暴露于原始质子束和扩散布拉格峰(SOBP)质子束时的体外克隆存活率 RBE。与研究中的其他模型相比,基于 LET 的 MKM 模型的结果与生物数据非常吻合,甚至更好。研究还对模型结果进行了敏感性分析:基于 LET 的 MKM 整合了 MCF MKM 的预测理论框架和基于剂量平均 LET 的 RBE 直接数学描述,而剂量平均 LET 是现代质子治疗计划系统中随时可用的物理量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LET-based approximation of the microdosimetric kinetic model for proton radiotherapy

Background

Phenomenological relative biological effectiveness (RBE) models for proton therapy, based on the dose-averaged linear energy transfer (LET), have been developed to address the apparent RBE increase towards the end of the proton range. The results of these phenomenological models substantially differ due to varying empirical assumptions and fitting functions. In contrast, more theory-based approaches are used in carbon ion radiotherapy, such as the microdosimetric kinetic model (MKM). However, implementing microdosimetry-based models in LET-based proton therapy treatment planning systems poses challenges.

Purpose

This work presents a LET-based version of the MKM that is practical for clinical use in proton radiotherapy.

Methods

At first, we derived an approximation of the Mayo Clinic Florida (MCF) MKM for relatively-sparsely ionizing radiation such as protons. The mathematical formalism of the proposed model is equivalent to the original MKM, but it maintains some key features of the MCF MKM, such as the determination of model parameters from measurable cell characteristics. Subsequently, we carried out Monte Carlo calculations with PHITS in different simulated scenarios to establish a heuristic correlation between microdosimetric quantities and the dose averaged LET of protons.

Results

A simple allometric function was found able to describe the relationship between the dose-averaged LET of protons and the dose-mean lineal energy, which includes the contributions of secondary particles. The LET-based MKM was used to model the in vitro clonogenic survival RBE of five human and rodent cell lines (A549, AG01522, CHO, T98G, and U87) exposed to pristine and spread-out Bragg peak (SOBP) proton beams. The results of the LET-based MKM agree well with the biological data in a comparable or better way with respect to the other models included in the study. A sensitivity analysis on the model results was also performed.

Conclusions

The LET-based MKM integrates the predictive theoretical framework of the MCF MKM with a straightforward mathematical description of the RBE based on the dose-averaged LET, a physical quantity readily available in modern treatment planning systems for proton therapy.

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来源期刊
Medical physics
Medical physics 医学-核医学
CiteScore
6.80
自引率
15.80%
发文量
660
审稿时长
1.7 months
期刊介绍: Medical Physics publishes original, high impact physics, imaging science, and engineering research that advances patient diagnosis and therapy through contributions in 1) Basic science developments with high potential for clinical translation 2) Clinical applications of cutting edge engineering and physics innovations 3) Broadly applicable and innovative clinical physics developments Medical Physics is a journal of global scope and reach. By publishing in Medical Physics your research will reach an international, multidisciplinary audience including practicing medical physicists as well as physics- and engineering based translational scientists. We work closely with authors of promising articles to improve their quality.
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