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冠脉CTA的主动脉处药物-时间曲线的生理药代动力学模型预测 被引量:2

Prediction of Aortic Contrast-enhancement Curves in Coronary CTA Using Physiologically Based Pharmacokinetic Model
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摘要 目的:建立生理药代动力学模型,预测冠脉CTA扫描过程中主动脉处造影剂的脉药物浓度-时间曲线,并对其准确性进行评估。方法:80例患者(年龄32~89岁,其中男44例,女36例)的扫描数据,将每位患者的体征参数(包括年龄、性别、身高、体重、心输出量、脏器血容量等)引入到上述药代动力学模型框架中,得到每位患者的个体化药代动力学模型,将模拟运算得到的主动脉处碘造影剂的药物浓度-时间曲线与实际扫描结果进行对比。结果:实际扫描中,排除两例无效数据后主动脉碘造影剂浓度峰值的误差为9.447±9.530%,其中模拟运算结果大于实际扫描结果的59例,均值为7.86%,模拟运算结果小于实际扫描结果的19例,均值为1.58%,整体模拟结果的偏度α=-0.131,属于正偏。结论:本研究表明模拟结果的误差在可接受范围内,生理药代动力学模型在CT增强检查的对比剂注射方案优化中有潜在的临床实用价值。 Objective:Our study focus on evaluating the accuracy of physiologically based pharmacokinetic (PBPK) model in simulation of enhancement at coronary CT angiography (CTA) Examination. Method and materials:80 patients (44 male, 36 female from 32 to 89 years old) underwent coronary CT angiography scan. A simulation software program was developed based on a pharmacokinetic model. For each patient, model parameters were adjusted according to patient age, sex, height, weight, scanning protocol, and contrast media administration protocol such as medium concentration and injection rate. Results:The simulated and actual CTA enhancement curves closely agreed in maximum enhancement and the average error is about 9.447±9.530%. 2 cases were excluded as invalid data. The simulated maximum enhancements of 59 cases were greater than their actual maximum enhancement and the average error was 7.86%. Meanwhile, 19 cases of simulation data were less than their actual data with the average error of 1.58%. The skewness of the whole data was α =-0.131. Conclusion:Our preliminary study suggests that PBPK model may predict the enhancement at coronary CTA with acceptable accuracy. Computer based PBPK model may be used in optimizing the coronary CTA scan protocol.
出处 《CT理论与应用研究(中英文)》 2012年第4期761-768,共8页 Computerized Tomography Theory and Applications
关键词 生理药代动力学模型 冠脉CTA 造影剂 physiologically based pharmacokinetic model coronary CTA contrast medium
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