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比较通用生存曲线和线性二次模型在分次修正方面的 SBRT 后肺毒性的 NTCP 建模。

NTCP modelling of lung toxicity after SBRT comparing the universal survival curve and the linear quadratic model for fractionation correction.

机构信息

Department of Medical Physics, Karolinska University Hospital and the Karolinska Institute, Stockholm, Sweden.

出版信息

Acta Oncol. 2011 May;50(4):518-27. doi: 10.3109/0284186X.2010.543695. Epub 2011 Jan 4.

Abstract

BACKGROUND

In SBRT of lung tumours no established relationship between dose-volume parameters and the incidence of lung toxicity is found. The aim of this study is to compare the LQ model and the universal survival curve (USC) to calculate biologically equivalent doses in SBRT to see if this will improve knowledge on this relationship.

MATERIAL AND METHODS

Toxicity data on radiation pneumonitis grade 2 or more (RP2+) from 57 patients were used, 10.5% were diagnosed with RP2+. The lung DVHs were corrected for fractionation (LQ and USC) and analysed with the Lyman- Kutcher-Burman (LKB) model. In the LQ-correction α/β = 3 Gy was used and the USC parameters used were: α/β = 3 Gy, D(0) = 1.0 Gy, [Formula: see text] = 10, α = 0.206 Gy(-1) and d(T) = 5.8 Gy. In order to understand the relative contribution of different dose levels to the calculated NTCP the concept of fractional NTCP was used. This might give an insight to the questions of whether "high doses to small volumes" or "low doses to large volumes" are most important for lung toxicity.

RESULTS AND DISCUSSION

NTCP analysis with the LKB-model using parameters m = 0.4, D(50) = 30 Gy resulted for the volume dependence parameter (n) with LQ correction n = 0.87 and with USC correction n = 0.71. Using parameters m = 0.3, D(50) = 20 Gy n = 0.93 with LQ correction and n = 0.83 with USC correction. In SBRT of lung tumours, NTCP modelling of lung toxicity comparing models (LQ,USC) for fractionation correction, shows that low dose contribute less and high dose more to the NTCP when using the USC-model. Comparing NTCP modelling of SBRT data and data from breast cancer, lung cancer and whole lung irradiation implies that the response of the lung is treatment specific. More data are however needed in order to have a more reliable modelling.

摘要

背景

在肺部肿瘤 SBRT 中,并未发现剂量-体积参数与肺毒性发生率之间存在明确关系。本研究旨在比较 LQ 模型和通用生存曲线(USC)来计算 SBRT 中的生物等效剂量,以了解这种关系,从而提高对该关系的认识。

材料和方法

使用 57 例患者的放射性肺炎 2 级或更高级别的毒性数据(RP2+),10.5%的患者被诊断为 RP2+。对分次的肺剂量体积直方图(LQ 和 USC)进行校正,并使用 Lyman-Kutcher-Burman(LKB)模型进行分析。在 LQ 校正中,α/β=3 Gy,而 USC 参数则为:α/β=3 Gy,D(0)=1.0 Gy,[公式:见文本]=10,α=0.206 Gy(-1)和 d(T)=5.8 Gy。为了了解不同剂量水平对计算 NTCP 的相对贡献,采用了分数 NTCP 的概念。这可能有助于回答“高剂量小体积”还是“低剂量大体积”对肺毒性最重要的问题。

结果与讨论

使用 LKB 模型的参数 m=0.4,D(50)=30 Gy 进行 NTCP 分析,LQ 校正的体积依赖性参数(n)为 0.87,USC 校正的 n 为 0.71。当使用参数 m=0.3,D(50)=20 Gy 时,LQ 校正的 n 为 0.93,USC 校正的 n 为 0.83。在肺部肿瘤 SBRT 中,比较用于分次校正的模型(LQ、USC)的肺毒性 NTCP 建模表明,使用 USC 模型时,低剂量的贡献较小,高剂量的贡献较大。比较 SBRT 数据和乳腺癌、肺癌和全肺照射数据的 NTCP 建模表明,肺部的反应具有治疗特异性。然而,为了获得更可靠的建模,还需要更多的数据。

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