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利用纤维化指数和高传能线密度生物等效剂量(LET BED)模型确定碳离子分次照射诱导肺纤维化的相对生物效应(RBE)

Determining RBE for development of lung fibrosis induced by fractionated irradiation with carbon ions utilizing fibrosis index and high-LET BED model.

作者信息

Zhou Cheng, Jones Bleddyn, Moustafa Mahmoud, Yang Bing, Brons Stephan, Cao Liji, Dai Ying, Schwager Christian, Chen Ming, Jaekel Oliver, Chen Longhua, Debus Juergen, Abdollahi Amir

机构信息

Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.

German Cancer Consortium (DKTK), Translational Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.

出版信息

Clin Transl Radiat Oncol. 2018 Nov 2;14:25-32. doi: 10.1016/j.ctro.2018.10.005. eCollection 2019 Jan.

Abstract

BACKGROUND AND PURPOSES

Carbon ion radiotherapy (CIRT) with raster scanning technology is a promising treatment for lung cancer and thoracic malignancies. Determining normal tissue tolerance of organs at risk is of utmost importance for the success of CIRT. Here we report the relative biological effectiveness (RBE) of CIRT as a function of dose and fractionation for development of pulmonary fibrosis using well established fibrosis index (FI) model.

MATERIALS AND METHODS

Dose series of fractionated clinical quality CIRT versus conventional photon irradiation to the whole thorax were compared in C57BL6 mice. Quantitative assessment of pulmonary fibrosis was performed by applying the FI to computed tomography (CT) data acquired 24-weeks post irradiation. RBE was calculated as the ratio of photon to CIRT dose required for the same level of FI. Further RBE predictions were performed using the derived equation from high-linear energy transfer biologically effective dose (high-LET BED) model.

RESULTS

The averaged lung fibrosis RBE of 5-fraction CIRT schedule was determined as 2.75 ± 0.55. The RBE estimate at the half maximum effective dose (RBE) was estimated at 2.82 for clinically relevant fractional sizes of 1-6 Gy. At the same dose range, an RBE value of 2.81 ± 0.40 was predicted by the high-LET BED model. The converted biologically effective dose (BED) of CIRT for induction of half maximum FI (BED) was identified to be 58.12 Gy. In accordance, an estimated RBE of 2.88 was obtained at the level. The LQ model radiosensitivity parameters for 5-fraction was obtained as α = 0.3030 ± 0.0037 Gy and β = 0.0056 ± 0.0007 Gy.

CONCLUSION

This is the first report of RBE estimation for CIRT with the endpoint of pulmonary fibrosis . We proposed in present study a novel way to mathematically modeling RBE by integrating RBE and α/β based on conventional high-LET BED conception. This model well predicted RBE in the clinically relevant dose range but is sensitive to the uncertainties of α/β estimates from the reference photon irradiation (α/β). These findings will assist to eliminate current uncertainties in prediction of CIRT induced normal tissue complications and builds a solid foundation for development of more accurate data driven RBE estimates.

摘要

背景与目的

采用光栅扫描技术的碳离子放射治疗(CIRT)是一种有前景的肺癌及胸部恶性肿瘤治疗方法。确定危及器官的正常组织耐受性对于CIRT的成功至关重要。在此,我们利用成熟的纤维化指数(FI)模型报告CIRT诱导肺纤维化时相对生物学效应(RBE)与剂量和分割方式的关系。

材料与方法

在C57BL6小鼠中比较分次临床质量CIRT与传统光子全胸照射的剂量系列。通过将FI应用于照射后24周获取的计算机断层扫描(CT)数据,对肺纤维化进行定量评估。RBE计算为达到相同FI水平所需光子剂量与CIRT剂量之比。使用从高线性能量传递生物等效剂量(高LET BED)模型推导的公式进行进一步的RBE预测。

结果

5分割CIRT方案的平均肺纤维化RBE确定为2.75±0.55。对于1 - 6 Gy的临床相关分次剂量,在半最大有效剂量(RBE)处的RBE估计值为2.82。在相同剂量范围内,高LET BED模型预测的RBE值为2.81±0.40。诱导半最大FI(BED)的CIRT转换生物等效剂量(BED)确定为58.12 Gy。相应地,在此水平获得的估计RBE为2.88。5分割的LQ模型放射敏感性参数为α = 0.3030±0.0037 Gy和β = 0.0056±0.0007 Gy。

结论

这是首篇以肺纤维化为终点对CIRT进行RBE估计的报告。我们在本研究中提出了一种基于传统高LET BED概念,通过整合RBE和α/β进行RBE数学建模的新方法。该模型在临床相关剂量范围内能很好地预测RBE,但对参考光子照射(α/β)的α/β估计不确定性敏感。这些发现将有助于消除当前CIRT诱导正常组织并发症预测中的不确定性,并为开发更准确的数据驱动RBE估计奠定坚实基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7431/6257927/c664383ab268/gr1.jpg

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