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剂量平均线性能量传递(LET)是否可以作为相对生物效应的可靠预测指标?

Is the dose-averaged LET a reliable predictor for the relative biological effectiveness?

机构信息

Department of Biophysics, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Planckstr. 1, Darmstadt, 64291, Germany.

RaySearch Laboratories AB, Sveavägen 44, Stockholm, 111 34, Sweden.

出版信息

Med Phys. 2019 Feb;46(2):1064-1074. doi: 10.1002/mp.13347. Epub 2019 Jan 10.

Abstract

PURPOSE

The dose-averaged linear energy transfer (LET ) is frequently used as representative quantity for the biological effectiveness of a radiation field. Moreover, relative biological effectiveness (RBE) values measured or calculated in mixed radiation fields are typically plotted vs the LET . In this study, we will investigate whether the LET is an appropriate quantity to describe the RBE of any mixed radiation field of protons and heavier ions and discuss potential limitations.

METHODS

To study the reliability of LET , we investigate model predictions of RBE in monoenergetic beams under track segment conditions and pristine Bragg peaks as well as spread out Bragg peaks (SOBP) in water. Both, the pristine Bragg peaks and the SOBPs are regarded as mixed radiation fields in this analysis, that is, they are characterized by a certain width of the energy spectrum of the projectile, although the underlying energy distribution is much broader in the case of an SOBP as compared to a pristine peak. For both cases, the corresponding RBE values are compared to those of strictly monoenergetic particles under track segment conditions, characterized by a single LET value. For the planning we use the treatment planning software TRiP98 together with the Local Effect Model to predict the RBE of protons, helium, and carbon ions. We further compare our model predictions for protons with a simplistic linear RBE-LET relationship representative for the phenomenological models in literature.

RESULTS

Regarding pristine Bragg peaks in water, the deviations in RBE compared to monoenergetic particles under track segment conditions for the same LET value are low (mostly 0-5%), except for the distal fall-off region. The situation changes in SOBPs for which we found deviations in the order of up to 25% for the lighter particles and even more pronounced deviations for heavier particles like carbon ions.

CONCLUSIONS

The analysis showed that LET is a sufficiently accurate predictor for RBE only in regions with comparably narrow, but not in regions with broad, LET distribution as in a single SOBP or in multiple overlapping fields. The deviations are caused by the nonlinearity of the RBE(LET) relationship in the case of track segment conditions. Thus, independent of the underlying RBE model and the particle type regarded, as long as the RBE(LET) relationship deviates from being purely linear, LET is not a good predictor for RBE, and especially for heavier particles like carbon ions knowledge of the underlying LET distribution is mandatory to describe the RBE in mixed radiation fields.

摘要

目的

剂量平均线性能量转移(LET)常被用作辐射场生物效应的代表性量。此外,在混合辐射场中测量或计算的相对生物效应(RBE)值通常与 LET 相关联。在这项研究中,我们将研究 LET 是否是描述质子和重离子混合辐射场的 RBE 的合适量,并讨论潜在的局限性。

方法

为了研究 LET 的可靠性,我们在水的单能束的轨迹段条件和原始布拉格峰以及扩展布拉格峰(SOBP)下研究 RBE 的模型预测。在本分析中,原始布拉格峰和 SOBP 都被视为混合辐射场,即它们的射束能量谱具有一定的宽度,尽管与原始布拉格峰相比,SOBP 的基础能量分布要宽得多。对于这两种情况,都将相应的 RBE 值与轨迹段条件下具有单一 LET 值的严格单能粒子的 RBE 值进行比较。对于规划,我们使用治疗计划软件 TRiP98 结合局部效应模型来预测质子、氦和碳离子的 RBE。我们进一步将我们的质子模型预测与文献中代表性的简单线性 RBE-LET 关系进行比较。

结果

对于水中的原始布拉格峰,与轨迹段条件下相同 LET 值的单能粒子相比,RBE 的偏差很小(大多为 0-5%),除了远端下降区域。SOBP 的情况发生了变化,对于较轻的粒子,我们发现了高达 25%的偏差,对于较重的粒子,如碳离子,偏差更为明显。

结论

分析表明,LET 仅在比较狭窄的 LET 分布区域(如单个 SOBP 或多个重叠场)内是 RBE 的足够准确预测因子,而在较宽的 LET 分布区域内则不是。偏差是由于轨迹段条件下 RBE(LET)关系的非线性引起的。因此,无论基础 RBE 模型和所考虑的粒子类型如何,只要 RBE(LET)关系偏离纯线性,LET 就不是 RBE 的良好预测因子,尤其是对于较重的粒子,如碳离子,了解基础 LET 分布对于描述混合辐射场中的 RBE 是强制性的。

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