Yamaguchi Isao, Hayashi Hiroyuki, Suzuki Masayuki, Kidoya Eiji, Higashimura Kyoji
Radiological Center, University of Fukui Hospital, Japan.
Nihon Hoshasen Gijutsu Gakkai Zasshi. 2007 Jun 20;63(6):621-7. doi: 10.6009/jjrt.63.621.
This paper presents an introduction to the development of software that provides a physiologic model of contrast medium enhancement by incorporating available physiologic data and contrast medium pharmacokinetics to predict an organ-specific aortic time-enhancement curve(TEC)in computed tomography(CT)with various contrast medium injection protocols in patients of various heights, weights, cardiac output levels, and so on. The physiologic model of contrast medium enhancement was composed of six compartments for early contrast enhancement pharmacokinetics. Contrast medium is injected via the antecubital vein and distributed to the right side of the heart, the pulmonary compartment, the left side of the heart, and the aorta. It then circulates back to the right side of the heart via the systemic circulation. A computer-based, compartmental model of the aortic system was generated using human physiologic parameters and six differential equations to describe the transport of contrast medium. Aortic TEC generated by the computer-based physiologic model of contrast medium enhancement showed validity and agreement with clinical data and findings published previously. A computer-based physiologic model that may help predict organ-specific CT contrast medium enhancement for different injection protocols was developed. Such a physiologic model may have multiple clinical applications.
本文介绍了一款软件的开发情况。该软件通过整合可用的生理数据和造影剂药代动力学，提供造影剂增强的生理模型，以预测不同身高、体重、心输出量水平等患者在计算机断层扫描（CT）中采用各种造影剂注射方案时的器官特异性主动脉时间增强曲线（TEC）。造影剂增强的生理模型由六个用于早期造影剂增强药代动力学的隔室组成。造影剂通过肘前静脉注入，分布到心脏右侧、肺隔室、心脏左侧和主动脉。然后它通过体循环回到心脏右侧。利用人体生理参数和六个描述造影剂传输的微分方程，生成了基于计算机的主动脉系统隔室模型。基于计算机的造影剂增强生理模型生成的主动脉TEC与先前发表的临床数据和研究结果显示出有效性和一致性。开发了一种基于计算机的生理模型，该模型可能有助于预测不同注射方案下的器官特异性CT造影剂增强情况。这样的生理模型可能有多种临床应用。
