Radiobiological description of the LET dependence of the cell survival of oxic and anoxic cells irradiated by carbon ions.

Radiobiological description of the LET dependence of the cell survival of oxic and anoxic cells irradiated by carbon ions.
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碳离子辐射的氧细胞和缺氧细胞的let依赖性的放射生物学描述。

DOI:
10.1093/jrr/rrs070
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发表时间:
2013-01
影响因子:
2
通讯作者:
Toma-Dasu I
Toma-Dasu I
中科院分区:
医学4区
文献类型:
--
作者:
Antonovic L;Brahme A;Furusawa Y;Toma-Dasu I

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光离子放射治疗对低氧肿瘤的治愈率很高,因为在布拉格峰的线性能量转移(LET)升高时,肿瘤对氧的依赖减少了。临床离子束使用铺展布拉格峰(SOBP)具有宽谱LET值的特点。准确的治疗优化需要一种能够考虑肿瘤缺氧、吸收剂量和let对反应变化的影响的方法。本文提出了一种参数化的可修复条件可修复(RCR)细胞存活模型,该模型可以描述缺氧和缺氧细胞在大范围LET值下的存活,并研究了缺氧辐射抵抗与LET之间的关系。通过拟合30-500 keV/µm let辐照V79细胞在缺氧和缺氧条件下的细胞存活数据来验证生物反应模型。该模型在LET研究范围内与实验细胞存活数据吻合良好,证实了参数化方法的鲁棒性。这种新版本的RCR模型适用于描述含氧和低氧细胞混合群体的生物反应,同时考虑了入射光束中剂量和let的分布及其随组织深度的变化。该模型为优化治疗效果所需的LET和剂量的选择提供了一个通用的工具,而不会严重影响现实肿瘤中呈现高度不均匀的氧和缺氧区域的正常组织。
Light-ion radiation therapy against hypoxic tumors is highly curative due to reduced dependence on the presence of oxygen in the tumor at elevated linear energy transfer (LET) towards the Bragg peak. Clinical ion beams using spread-out Bragg peak (SOBP) are characterized by a wide spectrum of LET values. Accurate treatment optimization requires a method that can account for influence of the variation in response for a broad range of tumor hypoxia, absorbed doses and LETs. This paper presents a parameterization of the Repairable Conditionally-Repairable (RCR) cell survival model that can describe the survival of oxic and hypoxic cells over a wide range of LET values, and investigates the relationship between hypoxic radiation resistance and LET. The biological response model was tested by fitting cell survival data under oxic and anoxic conditions for V79 cells irradiated with LETs within the range of 30–500 keV/µm. The model provides good agreement with experimental cell survival data for the range of LET investigated, confirming the robustness of the parameterization method. This new version of the RCR model is suitable for describing the biological response of mixed populations of oxic and hypoxic cells and at the same time taking into account the distribution of doses and LETs in the incident beam and its variation with depth in tissue. The model offers a versatile tool for the selection of LET and dose required in the optimization of the therapeutic effect, without severely affecting normal tissue in realistic tumors presenting highly heterogeneous oxic and hypoxic regions.
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发表时间: 1996-10-01
影响因子: 5.7
作者:
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发表时间: 2010-10-01
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