Dynamic contrast-enhanced MRI in mice: An investigation of model parameter uncertainties

Purpose To establish the experimental factors that dominate the uncertainty of hemodynamic parameters in commonly used pharmacokinetic models. Methods By fitting simulation results from a multiregion tissue exchange model (Multiple path, Multiple tracer, Indicator Dilution, 4 region), the precision...

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Veröffentlicht in:Magnetic resonance in medicine 2015-05, Vol.73 (5), p.1979-1987
Hauptverfasser: Rukat, Tammo, Walker-Samuel, Simon, Reinsberg, Stefan A.
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container_end_page 1987
container_issue 5
container_start_page 1979
container_title Magnetic resonance in medicine
container_volume 73
creator Rukat, Tammo
Walker-Samuel, Simon
Reinsberg, Stefan A.
description Purpose To establish the experimental factors that dominate the uncertainty of hemodynamic parameters in commonly used pharmacokinetic models. Methods By fitting simulation results from a multiregion tissue exchange model (Multiple path, Multiple tracer, Indicator Dilution, 4 region), the precision and accuracy of hemodynamic parameters in dynamic contrast‐enhanced MRI with four tracer kinetic models is investigated. The impact of various injection rates as well as imprecise knowledge of the arterial input functions is examined. Results Fast injections are beneficial for Ktrans precision within the extended Tofts model and within the two‐compartment exchange model but do not affect the other models under investigation. Biases from errors in the arterial input functions are mostly consistent in size and direction for the simple and the extended Tofts model, while they are hardly predictable for the other models. Errors in the hematocrit introduce the greatest loss in parameter accuracy, amounting to an average Ktrans bias of 40% for a 30% overestimation throughout all models. Conclusion This simulation study allows the detailed inspection of the isolated impact from various experimental conditions on parameter uncertainty. Because parameter uncertainty comparable to human studies was found, this study represents a validation of preclinical dynamic contrast‐enhanced MRI for modeling human tumor physiology. Magn Reson Med 73:1979–1987, 2015. © 2014 Wiley Periodicals, Inc.
doi_str_mv 10.1002/mrm.25319
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Methods By fitting simulation results from a multiregion tissue exchange model (Multiple path, Multiple tracer, Indicator Dilution, 4 region), the precision and accuracy of hemodynamic parameters in dynamic contrast‐enhanced MRI with four tracer kinetic models is investigated. The impact of various injection rates as well as imprecise knowledge of the arterial input functions is examined. Results Fast injections are beneficial for Ktrans precision within the extended Tofts model and within the two‐compartment exchange model but do not affect the other models under investigation. Biases from errors in the arterial input functions are mostly consistent in size and direction for the simple and the extended Tofts model, while they are hardly predictable for the other models. Errors in the hematocrit introduce the greatest loss in parameter accuracy, amounting to an average Ktrans bias of 40% for a 30% overestimation throughout all models. Conclusion This simulation study allows the detailed inspection of the isolated impact from various experimental conditions on parameter uncertainty. Because parameter uncertainty comparable to human studies was found, this study represents a validation of preclinical dynamic contrast‐enhanced MRI for modeling human tumor physiology. 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Reson. Med</addtitle><description>Purpose To establish the experimental factors that dominate the uncertainty of hemodynamic parameters in commonly used pharmacokinetic models. Methods By fitting simulation results from a multiregion tissue exchange model (Multiple path, Multiple tracer, Indicator Dilution, 4 region), the precision and accuracy of hemodynamic parameters in dynamic contrast‐enhanced MRI with four tracer kinetic models is investigated. The impact of various injection rates as well as imprecise knowledge of the arterial input functions is examined. Results Fast injections are beneficial for Ktrans precision within the extended Tofts model and within the two‐compartment exchange model but do not affect the other models under investigation. Biases from errors in the arterial input functions are mostly consistent in size and direction for the simple and the extended Tofts model, while they are hardly predictable for the other models. Errors in the hematocrit introduce the greatest loss in parameter accuracy, amounting to an average Ktrans bias of 40% for a 30% overestimation throughout all models. Conclusion This simulation study allows the detailed inspection of the isolated impact from various experimental conditions on parameter uncertainty. Because parameter uncertainty comparable to human studies was found, this study represents a validation of preclinical dynamic contrast‐enhanced MRI for modeling human tumor physiology. 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subjects Algorithms
Animals
Computer Simulation
Contrast Media - pharmacokinetics
dynamic contrast-enhanced-MRI
Hematocrit
Hemodynamics - physiology
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Magnetic Resonance Imaging - methods
Mice
Models, Biological
Models, Theoretical
perfusion
permeability
pharmacokinetic models
tracer-kinetic models
title Dynamic contrast-enhanced MRI in mice: An investigation of model parameter uncertainties
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