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2
Usefulness of saline pushing in reduction of contrast material dose in abdominal CT: evaluation of time-density curve for the aorta, portal vein and liver.生理盐水推注在降低腹部CT造影剂剂量中的作用:主动脉、门静脉和肝脏的时间-密度曲线评估
Br J Radiol. 2007 Apr;80(952):231-4. doi: 10.1259/bjr/60407135. Epub 2006 Oct 12.
3
Do distribution volumes and clearances relate to tissue volumes and blood flows? A computer simulation.分布容积和清除率与组织容积和血流有关吗?计算机模拟。
BMC Anesthesiol. 2006 Jun 13;6:7. doi: 10.1186/1471-2253-6-7.
4
Simulation of aortic peak enhancement on MDCT using a contrast material flow phantom: feasibility study.使用造影剂流动模型在MDCT上模拟主动脉峰值强化:可行性研究。
AJR Am J Roentgenol. 2006 Feb;186(2):379-85. doi: 10.2214/AJR.04.1591.
5
Open four-compartment model in the measurement of liver perfusion.肝脏灌注测量中的开放四室模型。
Acad Radiol. 2005 Dec;12(12):1542-50. doi: 10.1016/j.acra.2005.07.001.
6
Contrast-induced nephropathy.对比剂肾病
AJR Am J Roentgenol. 2004 Dec;183(6):1673-89. doi: 10.2214/ajr.183.6.01831673.
7
Changes in cardiac output with age.心输出量随年龄的变化。
Circulation. 1955 Oct;12(4):557-66. doi: 10.1161/01.cir.12.4.557.
8
Present and future trends in multiple detector-row CT applications: CT angiography.多层螺旋CT应用的现状与未来趋势:CT血管造影
Eur Radiol. 2002 Jul;12 Suppl 2:S11-5. doi: 10.1007/s003300200002.
9
Predictive performance of renal function equations for patients with chronic kidney disease and normal serum creatinine levels.慢性肾脏病且血清肌酐水平正常患者的肾功能方程预测性能
J Am Soc Nephrol. 2002 Aug;13(8):2140-4. doi: 10.1097/01.asn.0000022011.35035.f3.
10
Standardized perfusion value: universal CT contrast enhancement scale that correlates with FDG PET in lung nodules.标准化灌注值:与肺结节中氟代脱氧葡萄糖正电子发射断层显像相关的通用CT对比增强量表。
Radiology. 2001 Aug;220(2):548-53. doi: 10.1148/radiology.220.2.r01au26548.

CT 用静脉造影剂注射的动力学:在基本人体心血管多室模型中用时滞微分方程模拟。

Kinetics of intravenous radiographic contrast medium injections as used on CT: simulation with time delay differential equations in a basic human cardiovascular multicompartment model.

机构信息

Heilig-Hartziekenhuis Roeselare-Menen, Belgium.

出版信息

Br J Radiol. 2012 Dec;85(1020):e1212-8. doi: 10.1259/bjr/83724929.

DOI:10.1259/bjr/83724929
PMID:23175487
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3611726/
Abstract

OBJECTIVES

To develop a multicompartment model of only essential human body components that predicts the contrast medium concentration vs time curve in a chosen compartment after an intravenous injection. Also to show that the model can be used to time adequately contrast-enhanced CT series.

METHODS

A system of linked time delay instead of ordinary differential equations described the model and was solved with a Matlab program (Matlab v. 6.5; The Mathworks, Inc., Natick, MA). All the injection and physiological parameters were modified to cope with normal or pathological situations. In vivo time-concentration curves from the literature were recalculated to validate the model.

RESULTS

The recalculated contrast medium time-concentration curves and parameters are given. The results of the statistical analysis of the study findings are expressed as the median prediction error and the median absolute prediction error values for both the time delay and ordinary differential equation systems; these are situated well below the generally accepted maximum 20% limit.

CONCLUSION

The presented program correctly predicts the time-concentration curve of an intravenous contrast medium injection and, consequently, allows an individually tailored approach of CT examinations with optimised use of the injected contrast medium volume, as long as time delay instead of ordinary differential equations are used.

ADVANCES IN KNOWLEDGE

The presented program offers good preliminary knowledge of the time-contrast medium concentration curve after any intravenous injection, allowing adequate timing of a CT examination, required by the short scan time of present-day scanners. The injected volume of contrast medium can be tailored to the individual patient with no more contrast medium than is strictly needed.

摘要

目的

开发一个仅包含人体基本成分的多腔室模型,以预测静脉注射后所选腔室中的对比剂浓度随时间的变化曲线。同时,展示该模型可用于充分定时对比增强 CT 系列。

方法

用一个包含时间延迟的系统来描述模型,而不是用普通微分方程来描述。该系统使用 Matlab 程序(Matlab v. 6.5;The Mathworks, Inc.,Natick,MA)进行求解。所有的注射和生理参数都进行了修改,以适应正常或病理情况。从文献中重新计算了体内时间浓度曲线,以验证模型。

结果

给出了重新计算的对比剂时间浓度曲线和参数。对研究结果的统计分析结果表示为时间延迟和常微分方程组的中位数预测误差和中位数绝对预测误差值;这些值都远低于普遍接受的最大 20%限制。

结论

该程序正确地预测了静脉注射对比剂的时间浓度曲线,因此,只要使用时间延迟而不是普通微分方程,就可以根据个体患者的情况,采用优化的对比剂注射量,实现 CT 检查的个体化方法。

知识进展

该程序提供了关于任何静脉注射后时间对比剂浓度曲线的初步良好知识,允许充分定时 CT 检查,以适应目前扫描仪的短扫描时间。可以根据个体患者的情况调整对比剂的注射量,而不需要更多的对比剂。