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Patient-based estimation of organ dose for a population of 58 adult patients across 13 protocol categories

机译:基于患者的器官剂量估算,涵盖13个方案类别中的58位成年患者

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Purpose: This study aimed to provide a comprehensive patient-specific organ dose estimation across a multiplicity of computed tomography (CT) examination protocols.Methods: A validated Monte Carlo program was employed to model a common CT system (LightSpeed VCT, GE Healthcare). The organ and effective doses were estimated from 13 commonly used body and neurological CT examination. The dose estimation was performed on 58 adult computational extended cardiac-torso phantoms (35 male, 23 female, mean age 51.5 years, mean weight 80.2 kg). The organ dose normalized by CTDI_(vol) (h factor) and effective dose normalized by the dose length product (DLP) (k factor) were calculated from the results. A mathematical model was derived for the correlation between the h and k factors with the patient size across the protocols. Based on this mathematical model, a dose estimation iPhone operating system application was designed and developed to be used as a tool to estimate dose to the patients for a variety of routinely used CT examinations.Results: The organ dose results across all the protocols showed an exponential decrease with patient body size. The correlation was generally strong for the organs which were fully or partially located inside the scan coverage (Pearson sample correlation coefficient (r) of 0.49). The correlation was weaker for organs outside the scan coverage for which distance between the organ and the irradiation area was a stronger predictor of dose to the organ. For body protocols, the effective dose before and after normalization by DLP decreased exponentially with increasing patient's body diameter (r > 0.85). The exponential relationship between effective dose and patient's body diameter was significantly weaker for neurological protocols (r < 0.41), where the trunk length was a slightly stronger predictor of effective dose (0.15 < r < 0.46).Conclusions: While the most accurate estimation of a patient dose requires specific modeling of the patient anatomy, a first order approximation of organ and effective doses from routine CT scan protocols can be reasonably estimated using size specific factors. Estimation accuracy is generally poor for organ outside the scan range and for neurological protocols. The dose calculator designed in this study can be used to conveniently estimate and report the dose values for a patient across a multiplicity of CT scan protocols.
机译:目的:本研究旨在为多种计算机断层扫描(CT)检查方案提供全面的针对患者的器官剂量估算。方法:采用经过验证的Monte Carlo程序对通用CT系统(LightSpeed VCT,GE Healthcare)进行建模。器官和有效剂量是从13种常用的身体和神经科CT检查中估算得出的。剂量估算是对58位成人计算的扩展心脏躯干体模(男性35位,女性23位,平均年龄51.5岁,平均体重80.2公斤)进行的。由结果计算通过CTDI_vol(h因子)归一化的器官剂量和通过剂量长度乘积(DLP)(k因子)归一化的有效剂量。在整个方案中,得出了h和k因子与患者人数之间的相关性的数学模型。基于此数学模型,设计并开发了剂量估算iPhone操作系统应用程序,以用作估算各种常规CT检查的患者剂量的工具。结果:所有方案的器官剂量结果均显示随患者体型呈指数下降。对于完全或部分位于扫描范围内的器官,相关性通常很强(Pearson样本相关系数(r)为0.49)。对于扫描覆盖范围之外的器官而言,相关性较弱,因为器官与照射区域之间的距离是更强的器官剂量预测指标。对于身体方案,通过DLP标准化前后的有效剂量随患者直径的增加呈指数下降(r> 0.85)。对于神经系统方案,有效剂量与患者直径之间的指数关系显着较弱(r <0.41),其中躯干长度是有效剂量的预测指标稍强(0.15

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