Aortic and hepatic contrast medium enhancement at CT: Part I. Prediction with a computer model

Kyongtae T. Bae, Jay Heiken, James A. Brink

Research output: Contribution to journalArticle

196 Citations (Scopus)

Abstract

PURPOSE: To develop a physiologic model of contrast medium enhancement by incorporating available physiologic data and contrast medium pharmacokinetics and to predict organ-specific contrast medium enhancement at computed tomography (CT) with various contrast medium injection protocols in patients of variable height and weight. MATERIALS AND METHODS: A computer- based, compartmental model of the cardiovascular system was generated by using human physiologic parameters and more than 100 different equations to describe the transport of contrast medium. Blood volume, extracellular fluid volume, and regional blood flow were estimated from available data. Local structures were modeled mathematically to describe the distribution and dispersion of intravascularly administered iodinated contrast medium. A global model was formed by integrating regional circulation parameters with the models of local structures. Aortic and hepatic CT contrast-enhancement curves were simulated for three protocols and were compared with mean enhancement curves in three groups of 25-28 patients (80 patients total; 28 in one group, 25 in one group, and 27 in one group) receiving the same protocols. The percent difference in maximum enhancement between the simulated and empiric curves and the enhancement difference index (sum of the area difference between the simulated and empiric curves divided by the total area under the empiric curve) were computed. RESULTS: The simulated and empiric enhancement curves closely agreed in maximum enhancement (the mean percent difference in the aorta was 7.4%; liver, 4.89%) and in vanation over time (mean enhancement difference index in the aorta was 11.69%; liver, 12.7%). CONCLUSIONS: 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 many clinical applications.

Original languageEnglish (US)
Pages (from-to)647-655
Number of pages9
JournalRadiology
Volume207
Issue number3
DOIs
StatePublished - Jan 1 1998
Externally publishedYes

Fingerprint

Computer Simulation
Contrast Media
Tomography
Liver
Aorta
Injections
Extracellular Fluid
Regional Blood Flow
Cardiovascular System
Blood Volume
Area Under Curve
Pharmacokinetics
Weights and Measures

Keywords

  • Computed tomography (CT), computer programs, 761.12112, 981.12912
  • Computed tomography (CT), contrast enhancement, 761.12112, 981.12912
  • Computers, examination control
  • Contrast media, 761.12112, 981.12912
  • Model, mathematical

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Aortic and hepatic contrast medium enhancement at CT : Part I. Prediction with a computer model. / Bae, Kyongtae T.; Heiken, Jay; Brink, James A.

In: Radiology, Vol. 207, No. 3, 01.01.1998, p. 647-655.

Research output: Contribution to journalArticle

Bae, Kyongtae T. ; Heiken, Jay ; Brink, James A. / Aortic and hepatic contrast medium enhancement at CT : Part I. Prediction with a computer model. In: Radiology. 1998 ; Vol. 207, No. 3. pp. 647-655.
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abstract = "PURPOSE: To develop a physiologic model of contrast medium enhancement by incorporating available physiologic data and contrast medium pharmacokinetics and to predict organ-specific contrast medium enhancement at computed tomography (CT) with various contrast medium injection protocols in patients of variable height and weight. MATERIALS AND METHODS: A computer- based, compartmental model of the cardiovascular system was generated by using human physiologic parameters and more than 100 different equations to describe the transport of contrast medium. Blood volume, extracellular fluid volume, and regional blood flow were estimated from available data. Local structures were modeled mathematically to describe the distribution and dispersion of intravascularly administered iodinated contrast medium. A global model was formed by integrating regional circulation parameters with the models of local structures. Aortic and hepatic CT contrast-enhancement curves were simulated for three protocols and were compared with mean enhancement curves in three groups of 25-28 patients (80 patients total; 28 in one group, 25 in one group, and 27 in one group) receiving the same protocols. The percent difference in maximum enhancement between the simulated and empiric curves and the enhancement difference index (sum of the area difference between the simulated and empiric curves divided by the total area under the empiric curve) were computed. RESULTS: The simulated and empiric enhancement curves closely agreed in maximum enhancement (the mean percent difference in the aorta was 7.4{\%}; liver, 4.89{\%}) and in vanation over time (mean enhancement difference index in the aorta was 11.69{\%}; liver, 12.7{\%}). CONCLUSIONS: 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 many clinical applications.",
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AB - PURPOSE: To develop a physiologic model of contrast medium enhancement by incorporating available physiologic data and contrast medium pharmacokinetics and to predict organ-specific contrast medium enhancement at computed tomography (CT) with various contrast medium injection protocols in patients of variable height and weight. MATERIALS AND METHODS: A computer- based, compartmental model of the cardiovascular system was generated by using human physiologic parameters and more than 100 different equations to describe the transport of contrast medium. Blood volume, extracellular fluid volume, and regional blood flow were estimated from available data. Local structures were modeled mathematically to describe the distribution and dispersion of intravascularly administered iodinated contrast medium. A global model was formed by integrating regional circulation parameters with the models of local structures. Aortic and hepatic CT contrast-enhancement curves were simulated for three protocols and were compared with mean enhancement curves in three groups of 25-28 patients (80 patients total; 28 in one group, 25 in one group, and 27 in one group) receiving the same protocols. The percent difference in maximum enhancement between the simulated and empiric curves and the enhancement difference index (sum of the area difference between the simulated and empiric curves divided by the total area under the empiric curve) were computed. RESULTS: The simulated and empiric enhancement curves closely agreed in maximum enhancement (the mean percent difference in the aorta was 7.4%; liver, 4.89%) and in vanation over time (mean enhancement difference index in the aorta was 11.69%; liver, 12.7%). CONCLUSIONS: 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 many clinical applications.

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