How does the injection protocol influence the attenuation-time curve in CT perfusion measurements: comparison of measured and simulated data.

In this study the authors compared a computer simulation that models bolus dispersion during the first pass to patient PCT data acquired with three different types of injection protocols. PCT was performed in 27 patients with one of the three injection protocols: (1) Monophasic bolus injection with saline flush, (2) monophasic bolus injection without saline flush, and (3) biphasic bolus injection with saline flush. They performed computer simulation to model bolus dispersion in the three injection protocols. Finally, they compared the simulated attenuation-time curves to the measured ones. The simulated attenuation-time curves corresponded well to the measured data for protocol 1. With protocol 2 they found that simulation predicts bolus kinetics correctly but overestimates the concentration by about 31%. They attributed this to the missing saline flush. By comparing the simulated and measured data, they could show that without saline flush about 1/3 of the contrast agent does not contribute to the first pass. For the biphasic injection (protocol 3), they found that the first part of the attenuation-time curve can be modeled by simulating the bolus dispersion of only the high-flow portion of the injected bolus. Although the simulation model does only take into account of the first pass of the bolus, it is a useful tool to analyze and predict effects of modified injection protocols.

[1]  Konstantin Nikolaou,et al.  Contrast Bolus Optimization for Cardiac 16-Slice Computed Tomography: Comparison of Contrast Medium Formulations Containing 300 and 400 Milligrams of Iodine Per Milliliter , 2006, Investigative radiology.

[2]  T. Benner,et al.  Cerebral MR perfusion imaging: First clinical application of a 1 M gadolinium chelate (Gadovist 1.0) in a double‐blinded randomized dose‐finding study , 2000, Journal of magnetic resonance imaging : JMRI.

[3]  Ernst Klotz,et al.  Determination of Cardiac Output With Multislice Spiral Computed Tomography: A Validation Study , 2004, Investigative radiology.

[4]  T. Benner,et al.  Perfusion‐weighted MRI using gadobutrol as a contrast agent in a rat stroke model , 1997, Journal of magnetic resonance imaging : JMRI.

[5]  N A W van Riel,et al.  System identification theory in pharmacokinetic modeling of dynamic contrast‐enhanced MRI: Influence of contrast injection , 2008, Magnetic resonance in medicine.

[6]  S. Heiland,et al.  How do concentration and dosage of the contrast agent affect the signal change in perfusion-weighted magnetic resonance imaging? A computer simulation. , 2001, Magnetic resonance imaging.

[7]  G. Hunter,et al.  Increasing Contrast Agent Concentration Improves Enhancement in First-Pass CT Perfusion , 2007, American Journal of Neuroradiology.

[8]  Y. Shibamoto,et al.  Comparison of two contrast materials with different iodine concentrations in enhancing the density of the the aorta, portal vein and liver at multi-detector row CT: a randomized study , 2004, European Radiology.

[9]  T. Murakami,et al.  Effects of injection rates of contrast material on arterial phase hepatic CT. , 1998, AJR. American journal of roentgenology.

[10]  A. Marchianò,et al.  MDCT of Primary liver malignancies , 2003, European Radiology.

[11]  D. Fleischmann,et al.  Mathematical analysis of arterial enhancement and optimization of bolus geometry for CT angiography using the discrete fourier transform. , 1999, Journal of computer assisted tomography.

[12]  E Klotz,et al.  Perfusion measurements of the brain: using dynamic CT for the quantitative assessment of cerebral ischemia in acute stroke. , 1999, European journal of radiology.

[13]  T. Winter,et al.  Using a saline chaser to decrease contrast media in abdominal CT. , 2003, AJR. American journal of roentgenology.

[14]  Kazuo Awai,et al.  Aortic and hepatic enhancement and tumor-to-liver contrast: analysis of the effect of different concentrations of contrast material at multi-detector row helical CT. , 2002, Radiology.

[15]  M. König,et al.  Image quality in CT perfusion imaging of the brain , 2006, European Radiology.

[16]  Bernhard Schmidt,et al.  Radiation dose and image quality in pediatric CT: effect of technical factors and phantom size and shape. , 2004, Radiology.

[17]  Klaus Sartor,et al.  Comparison of Perfusion Computed Tomography and Computed Tomography Angiography Source Images With Perfusion-Weighted Imaging and Diffusion-Weighted Imaging in Patients With Acute Stroke of Less Than 6 Hours’ Duration , 2004, Stroke.

[18]  R. Schoellnast,et al.  Improvement of parenchymal and vascular enhancement using saline flush and power injection for multiple-detector-row abdominal CT , 2004, European Radiology.

[19]  M. Haider,et al.  Multiphasic contrast injection for improved precision of parameter estimates in functional CT. , 2008, Medical physics.

[20]  Ernst Klotz,et al.  Measurement of cardiac output from a test-bolus injection in multislice computed tomography , 2003, European Radiology.

[21]  K. Zierler Theoretical Basis of Indicator‐Dilution Methods For Measuring Flow and Volume , 1962 .

[22]  Tae Hoon Kim,et al.  Saline flush effect for enhancement of aorta and coronary arteries at multidetector CT coronary angiography. , 2008, Radiology.