Department of Radiation Medicine, The University of Kentucky, Lexington, KY 40536, United States of America. Author to whom any correspondence should be addressed. Radiation Medicine, University of Kentucky, Markey Cancer Center, Rm CC063, 800 Rose St., Lexington, KY 40536-0293, United States of America.
Phys Med Biol. 2019 Feb 20;64(5):055001. doi: 10.1088/1361-6560/ab0120.
The orthovoltage x-ray energy frequently used in radiation research is prone to dosimetry errors due to insufficient backscatter conditions. In many radiobiology studies, especially for cell irradiations, precise dose calculation algorithms such as Convolution-Superposition or Monte Carlo are impractical and as such, less accurate hand calculation methods are used for dose estimation. These dose estimation methods typically assume full backscatter conditions. The purpose of this study is to demonstrate the magnitude of the dose error that results from insufficient backscatter, and to provide lookup tables to account this issue. The beam spectra of several widely used commercial systems (XRAD-225, XRAD-320, SARRP) were used in Monte Carlo (MC) simulations on a series of phantom setups to investigate the impact of varying backscatter conditions on dosimetry. The depth dose curves for different field sizes, water phantom thicknesses and beam qualities were generated. In addition, depth dependent backscatter factors for different field sizes and different beam qualities were calculated. It is demonstrated that as much as a 50% dose difference exists for different backscatter conditions at the beam qualities studied. The choice of cell dish size as well as other changes in the experiment setup can have more than 10% impact on the dose. The impact of backscatter is reduced with a decrease in field size. Further, the thickness needed to provide full backscatter can be approximated as being equal to the field size. It is imperative to ensure full backscatter conditions during system and dosimeter calibration, or to use the look-up table provided in this study.
在辐射研究中经常使用的正交 X 射线能量由于反向散射条件不足容易导致剂量测量误差。在许多放射生物学研究中,特别是对于细胞照射,精确的剂量计算算法(如卷积叠加或蒙特卡罗)不切实际,因此,使用不太准确的手动计算方法进行剂量估计。这些剂量估计方法通常假设完全反向散射条件。本研究旨在展示由于反向散射不足而导致的剂量误差的大小,并提供查找表来解决这个问题。使用几种广泛使用的商业系统(XRAD-225、XRAD-320、SARRP)的束谱在一系列模型设置上进行了蒙特卡罗(MC)模拟,以研究不同反向散射条件对剂量测量的影响。生成了不同射野大小、水模体厚度和束质的深度剂量曲线。此外,还计算了不同射野大小和不同束质的深度相关反向散射因子。结果表明,在研究的束质下,不同反向散射条件下的剂量差异高达 50%。细胞培养皿大小的选择以及实验设置的其他变化对剂量的影响可能超过 10%。随着射野尺寸的减小,反向散射的影响减小。此外,提供完全反向散射所需的厚度可以近似等于射野尺寸。在系统和剂量计校准期间,务必确保完全反向散射条件,或者使用本研究中提供的查找表。