Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10021, USA.
BMC Med Imaging. 2011 Oct 17;11:20. doi: 10.1186/1471-2342-11-20.
The purpose of this study is to explore how a patient's height and weight can be used to predict the effective dose to a reference phantom with similar height and weight from a chest abdomen pelvis computed tomography scan when machine-based parameters are unknown. Since machine-based scanning parameters can be misplaced or lost, a predictive model will enable the medical professional to quantify a patient's cumulative radiation dose.
One hundred mathematical phantoms of varying heights and weights were defined within an x-ray Monte Carlo based software code in order to calculate organ absorbed doses and effective doses from a chest abdomen pelvis scan. Regression analysis was used to develop an effective dose predictive model. The regression model was experimentally verified using anthropomorphic phantoms and validated against a real patient population.
Estimates of the effective doses as calculated by the predictive model were within 10% of the estimates of the effective doses using experimentally measured absorbed doses within the anthropomorphic phantoms. Comparisons of the patient population effective doses show that the predictive model is within 33% of current methods of estimating effective dose using machine-based parameters.
A patient's height and weight can be used to estimate the effective dose from a chest abdomen pelvis computed tomography scan. The presented predictive model can be used interchangeably with current effective dose estimating techniques that rely on computed tomography machine-based techniques.
本研究旨在探讨在未知机器参数的情况下，如何利用患者的身高和体重来预测与参考身高和体重相似的胸腹部骨盆 CT 扫描的有效剂量。由于基于机器的扫描参数可能会错位或丢失，预测模型将使医疗专业人员能够量化患者的累积辐射剂量。
通过基于 X 射线蒙特卡罗的软件代码定义了一百个具有不同身高和体重的数学体模，以计算胸部、腹部和骨盆扫描的器官吸收剂量和有效剂量。回归分析用于开发有效剂量预测模型。使用人体模型对回归模型进行了实验验证，并对真实患者人群进行了验证。
预测模型计算的有效剂量估计值在人体模型内使用实验测量的吸收剂量计算的有效剂量估计值的 10%以内。对患者人群有效剂量的比较表明，预测模型与使用基于机器参数的当前有效剂量估计方法的误差在 33%以内。
可以使用患者的身高和体重来估计胸腹部骨盆 CT 扫描的有效剂量。本文提出的预测模型可以与当前依赖 CT 机基于技术的有效剂量估计技术互换使用。
