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A Monte Carlo Method for Determining the Response Relationship between Two Commonly Used Detectors to Indirectly Measure Alpha Particle Radiation Activity

机译:用于确定两个常用探测器之间响应关系的蒙特卡罗方法,以间接测量α粒子辐射活性

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摘要

Using targeted ligands to deliver alpha-emitting radionuclides directly to tumor cells has become a promising therapeutic strategy. To calculate the radiation dose to patients, activities of parent and daughter radionuclides must be measured. Scintillation detectors can be used to quantify these activities; however, activities found in pre-clinical and clinical studies can exceed their optimal performance range. Therefore, a method of correcting scintillation detector measurements at higher activities was developed using Monte Carlo modeling. Because there are currently no National Institute of Standards and Technology traceable Actinium-225 (225Ac) standards available, a well-type ionization chamber was used to measure 70.3 ± 7.0, 144.3 ± 14.4, 222.0 ± 22.2, 299.7 ± 30.0, 370.0 ± 37.0, and 447.7 ± 44.7 kBq samples of 225Ac obtained from Oak Ridge National Lab. Samples were then placed in a well-type NaI(Tl) scintillation detector and spectra were obtained. Alpha particle activity for each species was calculated using gamma abundance per alpha decay. MCNP6 Monte Carlo software was used to simulate the 4π-geometry of the NaI(Tl) detector. Using the ionization chamber reading as activity input to the Monte Carlo model, spectra were obtained and compared to NaI(Tl) spectra. Successive simulations of different activities were run until a spectrum minimizing the mean percent difference between the two was identified. This was repeated for each sample activity. Ionization chamber calibration measurements showed increase in error from 3% to 10% as activities decreased, resulting from decreasing detection efficiency. Measurements of 225Ac using both detector types agreed within 7% of Oak Ridge stated activities. Simulated Monte Carlo spectra of 225Ac were successfully generated. Activities obtained from these spectra differed with ionization chamber readings up to 156% at 147.7 kBq. Simulated spectra were then adjusted to correct NaI(Tl) measurements to be within 1%. These were compared to ionization chamber readings and a response relationship was determined between the two instruments. Measurements of 225Ac and daughter activity were conducted using a NaI(Tl) scintillation detector calibrated for energy and efficiency and an ionization chamber calibrated for efficiency using a surrogate calibration reference. Corrections provided by Monte Carlo modeling improve the accuracy of activity quantification for alpha-particle emitting radiopharmaceuticals in pre-clinical and clinical studies.
机译:使用靶向配体直接将α-发射的放射性核素递送到肿瘤细胞已成为一个有前途的治疗策略。为了计算给患者的辐射剂量,必须测量父母和子放射性核素的活动。闪烁探测器可用于量化这些活动;然而,在临床前和临床研究中发现的活动可能超过其最佳性能范围。因此,使用蒙特卡罗建模开发了一种在更高的活动中校正闪烁探测器测量的方法。由于目前没有国家标准和技术追溯actinium-225(225AC)标准的标准,则采用良好的电离室测量70.3±7.0,144.3±14.4,222.0±22.2,299.7±30.0,370.0±37.0和447.7±44.7 kBQ样品为225Ac的橡木岭国家实验室。然后将样品置于NaI型(TL)闪烁检测器中,得到光谱。使用每种物种的α颗粒活性使用每种α衰减的γ丰度计算。 MCNP6 Monte Carlo软件用于模拟NAI(TL)检测器的4π - 几何体。使用电离室作为输入到蒙特卡罗模型的活动,获得光谱并与Nai(TL)光谱进行比较。运行连续模拟不同活动,直到确定识别两者之间平均百分比的光谱。对每个样品活性重复这一点。电离室校准测量结果显示出误差增加到3%至10%,随着检测效率降低而导致的活动降低。使用两种探测器类型225ac的测量在橡树岭的7%内商定。成功产生了225Ac的模拟蒙特卡罗光谱。从这些光谱获得的活动在147.7kbq下离电离室读数不同,电离室读数高达156%。然后调整模拟光谱以校正Nai(TL)测量值在1%以内。将这些与电离室读数进行比较,并且在两个仪器之间确定了响应关系。使用Nai(TL)闪烁探测器进行225AC和子系的测量,用于使用替代校准参考进行能量和效率和电离室进行验证的电离室。 Monte Carlo模型提供的校正提高了临床前和临床研究中α-粒子发射放射药物的活性定量的准确性。

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