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首页> 外文期刊>Medical Physics >Modelling of metastatic cure after radionuclide therapy: influence of tumor distribution, cross-irradiation, and variable activity concentration.
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Modelling of metastatic cure after radionuclide therapy: influence of tumor distribution, cross-irradiation, and variable activity concentration.

机译：放射性核素治疗后转移治愈的模型：肿瘤分布，交叉照射和活动浓度变化的影响。

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The objective was to study the influence of tumor number and size, cross-irradiation from normal tissue, and of variable activity concentration on metastatic cure after radionuclide therapy. A model to calculate the metastatic cure probability (MCP) was developed, in which it was assumed that the tumor response was an exponential function of the absorbed dose. All calculations were performed for monoenergetic electron emitters with different energies (10-1000 keV). The influence of tumor size and number of tumors were investigated with different log uniform distributions; the basic tumor distribution consisted of tumors with 1, 10, ..., 10(11) cells. The influence of cross-irradiation was assessed by calculating MCP for various tumor-to-normal tissue activity concentration ratios (TNC). The influence of variable activity concentration between tumors was calculated by assuming that the activity concentration in tumors was an inverse power law function of tumor mass. The required activity concentration (C0.9) and absorbed dose (D0.9) to obtain MCP=0.9 was calculated in the different models. The C0.9 and D0.9 needed to obtain MCP were very high; more than 25 MBq/g and 80 Gy, respectively. The lowest C0.9 and D0.9 for equal activity concentration in the different tumor sizes were obtained for electron energies less than 80 keV. For higher energies the low absorbed energy fraction in small tumors will increase the required C0.9 and D0.9 markedly. Cross-irradiation from normal cells surrounding the tumor will cause sterilization of the smallest tumors and decrease the required C0.9 and D0.9 for higher electron energies. Assuming that the activity concentration decreased with increased tumor mass caused a marked increase in C0.9 and D0.9 in favor of higher electron energies. With the MCP model we demonstrated significant influence of the number of tumors, their size, TNC and variable activity concentration on MCP. The results are valuable when evaluating optimal choices for radionuclides for internal-emitter therapy.
机译：目的是研究放射性核素治疗后肿瘤数目和大小，正常组织的交叉照射以及活动浓度的变化对转移治愈的影响。建立了计算转移治愈率（MCP）的模型，其中假定肿瘤反应是吸收剂量的指数函数。所有计算都是针对具有不同能量（10-1000 keV）的单能电子发射器进行的。研究了不同对数均匀分布对肿瘤大小和数目的影响。基本的肿瘤分布由具有1，10，...，10（11）个细胞的肿瘤组成。通过计算各种肿瘤与正常组织活性浓度比（TNC）的MCP来评估交叉照射的影响。通过假设肿瘤中的活性浓度是肿瘤质量的幂函数的倒数来计算肿瘤之间的可变活性浓度的影响。在不同模型中计算了获得MCP = 0.9所需的活性浓度（C0.9）和吸收剂量（D0.9）。获得MCP所需的C0.9和D0.9非常高;分别超过25 MBq / g和80 Gy。对于小于80 keV的电子能量，在不同肿瘤大小中具有相等活性浓度的最低C0.9和D0.9。对于更高的能量，小肿瘤中的低吸收能分数将显着增加所需的C0.9和D0.9。来自肿瘤周围正常细胞的交叉辐射将导致最小肿瘤的灭菌，并降低较高电子能量所需的C0.9和D0.9。假设随着肿瘤质量的增加，活性浓度降低，导致C0.9和D0.9明显增加，有利于更高的电子能量。使用MCP模型，我们证明了肿瘤数量，肿瘤大小，TNC和可变活性浓度对MCP有重大影响。当评估用于内部发射体治疗的放射性核素的最佳选择时，这些结果是有价值的。

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