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一种用于预测质子和重离子相对生物效应的更简单的能量转移效率模型。

A Simpler Energy Transfer Efficiency Model to Predict Relative Biological Effect for Protons and Heavier Ions.

作者信息

Jones Bleddyn

机构信息

Gray Laboratory, CRUK/MRC Oxford Insitute for Radiation Oncology, University of Oxford , Oxford , UK.

出版信息

Front Oncol. 2015 Aug 11;5:184. doi: 10.3389/fonc.2015.00184. eCollection 2015.

Abstract

The aim of this work is to predict relative biological effectiveness (RBE) for protons and clinically relevant heavier ions, by using a simplified semi-empirical process based on rational expectations and published experimental results using different ion species. The model input parameters are: Z (effective nuclear charge) and radiosensitivity parameters αL and βL of the control low linear energy transfer (LET) radiation. Sequential saturation processes are assumed for: (a) the position of the turnover point (LETU) for the LET-RBE relationship with Z, and (b) the ultimate value of α at this point (αU) being non-linearly related to αL. Using the same procedure for β, on the logical assumption that the changes in β with LET, although smaller than α, are symmetrical with those of α, since there is symmetry of the fall off of LET-RBE curves with increasing dose, which suggests that LETU must be identical for α and β. Then, using iso-effective linear quadratic model equations, the estimated RBE is scaled between αU and αL and between βU and βL from for any input value of Z, αL, βL, and dose. The model described is fitted to the data of Barendsen (alpha particles), Weyrather et al. (carbon ions), and Todd for nine different ions (deuterons to Argon), which include variations in cell surviving fraction and dose. In principle, this new system can be used to complement the more complex methods to predict RBE with LET such as the local effect and MKM models which already have been incorporated into treatment planning systems in various countries. It would be useful to have a secondary check to such systems, especially to alert clinicians of potential risks by relatively easy estimation of relevant RBEs. In clinical practice, LET values smaller than LETU are mostly encountered, but the model extends to higher values beyond LETU for other purposes such as radiation, protection, and astrobiology. Considerable further research is required, perhaps in a dedicated international laboratory, using a basket of different models to determine what the best system or combination of systems will be to make proton and ion beam radiotherapy as safe as possible and to produce the best possible clinical results.

摘要

这项工作的目的是通过使用基于合理预期和已发表的不同离子种类实验结果的简化半经验过程,预测质子和临床相关重离子的相对生物效应(RBE)。模型输入参数为:Z(有效核电荷)以及对照低传能线密度(LET)辐射的放射敏感性参数αL和βL。假设存在顺序饱和过程,用于:(a)LET与RBE关系随Z变化的转折点(LETU)的位置,以及(b)此时α的最终值(αU)与αL呈非线性关系。对β采用相同程序,基于合理假设,即β随LET的变化虽然小于α,但与α的变化对称,因为LET - RBE曲线随剂量增加的下降具有对称性,这表明α和β的LETU必定相同。然后,使用等效线性二次模型方程,对于任何Z、αL、βL和剂量的输入值,估计的RBE在αU和αL之间以及βU和βL之间进行缩放。所描述的模型与Barendsen(α粒子)、Weyrather等人(碳离子)以及Todd关于九种不同离子(从氘核到氩核)的数据拟合,这些数据包括细胞存活分数和剂量的变化。原则上,这个新系统可用于补充更复杂的基于LET预测RBE的方法,如局部效应模型和MKM模型,这些模型已被纳入各国的治疗计划系统。对这样的系统进行二次检查会很有用,特别是通过相对容易地估计相关RBE来提醒临床医生潜在风险。在临床实践中,大多遇到小于LETU的LET值,但该模型为其他目的(如辐射防护和天体生物学)扩展到高于LETU的值。可能需要在专门的国际实验室进行大量进一步研究,使用一系列不同模型来确定哪种最佳系统或系统组合能使质子和离子束放疗尽可能安全并产生最佳临床效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d35e/4531328/a1a4bd3fd7f9/fonc-05-00184-g001.jpg

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