Monte Carlo calculations of dosimetry parameters of the urocor prostaseed 125I source.

Monte Carlo calculations of dosimetry parameters of the urocor prostaseed 125I source.
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urocor prostaseed 125I 源剂量测定参数的蒙特卡罗计算。

DOI:
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发表时间:
2002
期刊:
Medical Physics (Lancaster)
影响因子:
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通讯作者:
Zuofeng Li
Zuofeng Li
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文献类型:
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作者:
Zuofeng Li

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本报告介绍了 Urocor ProstaSeed 1251 种子源剂量参数的蒙特卡罗计算结果。该源包含五个直径为 0.5 毫米的球形银标记,1251 通过离子交换沉积在球体上。然后将银球封装在直径 0.8 毫米、长 4.5 毫米的钛圆柱形外壳内,这对于此类光源来说很常见。源的物理尺寸通过测量来确认。基于对种子内银球位置的不同假设,在剂量率计算中使用了四 (4) 个源几何模型。利用这些源的几何模型,采用蒙特卡罗光子输运模拟来计算剂量率常数、径向剂量函数和各向异性函数的剂量学参数。蒙特卡罗计算得出的 ProstaSeed 源剂量率常数等于 0.925 cGy/Uh,不确定性大约为 5%。径向剂量函数值和各向异性函数值是根据蒙特卡罗代码计算的源周围的相对剂量分布得出的。考虑到测量和计算的不确定性后,这些剂量测定参数的计算值与先前发布的该源的热释光剂量计测量值一致。
This report presents the results of Monte Carlo calculations of the dosimetric parameters of the Urocor ProstaSeed 1251 seed source. This source contains five spherical silver markers, of 0.5 mm diameter, with 1251 deposited on the spheres through ion exchange. The silver spheres are then encapsulated within a 0.8 mm in diameter and 4.5 mm long cylindrical shell of titanium, as is common to this type of sources. Physical dimensions of the source are confirmed by measurement. Four (4) geometric models of the source, based on different assumptions on the locations of the silver spheres within the seed, were used in dose rate calculations. Monte Carlo photon transport simulation was used to calculate the dosimetric parameters of dose rate constant, radial dose function, and anisotropy function using these geometric models of the source. The Monte Carlo calculated dose rate constant of the ProstaSeed source was found equal to 0.925 cGy/Uh with approximate uncertainties of 5%. Radial dose function values and anisotropy function values were derived from the relative dose distribution around the source calculated by the Monte Carlo code. The calculated values of these dosimetric parameters agree with previously published thermoluminescence-dosimeter-measured values for this source after consideration of measurement and calculation uncertainties.
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