Determination of the dose rate around a HDR 192Ir brachytherapy source with the microDiamond and the microSilicon detector

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Giulio Rossi , Thomas Failing , Mark Gainey , Michael Kollefrath , Frank Hensley , Klemens Zink , Dimos Baltas
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Additional measurements were performed with the mSD at fixed distances <em>r</em> = 1, 3 and 5 cm, with <em>θ</em> varying from 0 to 150°, 0 to 166°, and 0 to 168°, respectively. The corresponding mDD readings were already available from a previous work (Rossi et al., 2020). The beam quality correction factor of both detectors, as well as a phantom effect correction factor to account for the difference between the experimental geometry and that assumed in the TG-43 formalism, were determined using the Monte Carlo (MC) toolkit EGSnrc. The beam quality correction factor was factorized into energy dependence and volume-averaging correction factors. 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引用次数: 0

Abstract

Purpose: To employ the microDiamond and the microSilicon detector (mDD and mSD, both PTW-Freiburg, Germany) to determine the dose rate around a HDR 192Ir brachytherapy source (model mHDR-v2r, Elekta AB, Sweden).

Methods: The detectors were calibrated with a 60Co beam at the PTW Calibration Laboratory. Measurements around the 192Ir source were performed inside a PTW MP3 water phantom. The detectors were placed at selected points of measurement at radial distances r, ranging from 0.5 to 10 cm, keeping the polar angle θ = 90°. Additional measurements were performed with the mSD at fixed distances r = 1, 3 and 5 cm, with θ varying from 0 to 150°, 0 to 166°, and 0 to 168°, respectively. The corresponding mDD readings were already available from a previous work (Rossi et al., 2020). The beam quality correction factor of both detectors, as well as a phantom effect correction factor to account for the difference between the experimental geometry and that assumed in the TG-43 formalism, were determined using the Monte Carlo (MC) toolkit EGSnrc. The beam quality correction factor was factorized into energy dependence and volume-averaging correction factors. Using the abovementioned MC-based factors, the dose rate to water at the different points of measurement in TG-43 conditions was obtained from the measured readings, and was compared to the dose rate calculated according to the TG-43 formalism.

Results: The beam quality correction factor was considerably closer to unity for the mDD than for the mSD. The energy dependence of the mDD showed a very weak radial dependence, similar to the previous findings showing a weak angular dependence as well (Rossi et al., 2020). Conversely, the energy dependence of the mSD decreased significantly with increasing distances, and also showed a considerably more pronounced angular dependence, especially for the smallest angles. The volume-averaging showed a similar radial dependence for both detectors: the correction had a maximal impact at 0.5 cm and then approached unity for larger distances, as expected. Concerning the angular dependence, the correction for the mSD was also similar to the one previously determined for the mDD (Rossi et al., 2020): a maximal impact was observed at θ = 0°, with values tending to unity for larger angles. In general, the volume-averaging was less pronounced for the mSD due to the smaller sensitive volume radius. After the application of the MC-based factors, differences between mDD dose rate measurements and TG-43 dose rate calculations ranged from −2.6% to +4.3%, with an absolute average difference of 1.0%. For the mSD, the differences ranged from −3.1% to +5.2%, with an absolute average difference of 1.0%. For both detectors, all differences but one were within the combined uncertainty (k = 2). The differences of the mSD from the mDD ranged from −3.9% to +2.6%, with the vast majority of them being within the combined uncertainty (k = 2). For θ ≠ 0°, the mDD was able to provide sufficiently accurate results even without the application of the MC-based beam quality correction factor, with differences to the TG-43 dose rate calculations from −1.9% to +3.4%, always within the combined uncertainty (k = 2).

Conclusion: The mDD and the mSD showed consistent results and appear to be well suitable for measuring the dose rate around HDR 192Ir brachytherapy sources. MC characterization of the detectors response is needed to determine the beam quality correction factor and to account for energy dependence and/or volume-averaging, especially for the mSD. Our findings support the employment of the mDD and mSD for source QA, TPS verification and TG-43 parameters determination.

利用微型钻石和微型硅探测器测定高清 192Ir 近距离放射源周围的剂量率
目的:采用微钻石和微硅探测器(mDD 和 mSD,均为德国 PTW-Freiburg)确定 HDR 192Ir 近距离放射源(型号 mHDR-v2r,瑞典 Elekta AB)周围的剂量率:在 PTW 校准实验室用 60Co 射束对探测器进行了校准。192Ir 放射源周围的测量在 PTW MP3 水模型内进行。探测器被放置在选定的测量点上,径向距离 r 从 0.5 厘米到 10 厘米不等,保持极角 θ = 90°。在固定距离 r = 1、3 和 5 厘米处使用 mSD 进行了额外测量,θ 分别为 0 至 150°、0 至 166°、0 至 168°。相应的 mDD 读数可从以前的工作中获得(Rossi 等人,2020 年)。使用蒙特卡罗(MC)工具包 EGSnrc 确定了两个探测器的光束质量校正因子以及幻影效应校正因子,以考虑到实验几何形状与 TG-43 形式中假设的几何形状之间的差异。光束质量校正因子被分解为能量依赖校正因子和体积平均校正因子。利用上述基于 MC 的因子,从测量读数中获得了 TG-43 条件下不同测量点的水剂量率,并与根据 TG-43 形式主义计算的剂量率进行了比较:结果:与 mSD 相比,mDD 的光束质量校正因子更接近于统一。mDD 的能量依赖性显示出非常微弱的径向依赖性,这与之前显示出微弱角度依赖性的研究结果类似(Rossi 等人,2020 年)。相反,mSD 的能量依赖性随着距离的增加而显著降低,同时也显示出明显的角度依赖性,尤其是在最小角度时。两个探测器的体积平均值都显示出类似的径向依赖性:校正在 0.5 厘米处影响最大,然后如预期的那样,在更大的距离上接近于 1。关于角度依赖性,对 mSD 的校正也与之前为 mDD 确定的校正相似(Rossi 等人,2020 年):在 θ = 0° 时影响最大,角度越大,校正值越趋于统一。一般来说,由于敏感体积半径较小,mSD 的体积平均化不太明显。应用基于 MC 的因子后,mDD 剂量率测量值与 TG-43 剂量率计算值之间的差异从 -2.6% 到 +4.3%,绝对平均差异为 1.0%。对于 mSD,差异范围从 -3.1% 到 +5.2%,绝对平均差异为 1.0%。对于这两种探测器来说,除了一个之外,所有的差异都在综合不确定度(k = 2)范围之内。mSD 与 mDD 的差异从 -3.9% 到 +2.6%,绝大多数差异都在综合不确定度(k = 2)范围内。对于 θ ≠ 0°,即使不使用基于 MC 的光束质量校正因子,mDD 也能提供足够精确的结果,与 TG-43 剂量率计算结果的差异从 -1.9% 到 +3.4%,始终在综合不确定性(k = 2)范围内:mDD 和 mSD 显示出一致的结果,似乎非常适合测量 HDR 192Ir 近距离放射源周围的剂量率。需要对探测器的响应进行 MC 鉴定,以确定射束质量校正因子,并考虑能量依赖性和/或体积平均,尤其是对于 mSD。我们的研究结果支持使用 mDD 和 mSD 进行放射源质量保证、TPS 验证和 TG-43 参数确定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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