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Reference Region-Based Pharmacokinetic Modeling in Quantitative Dynamic Contract-Enhanced MRI Allows Robust Treatment Monitoring in a Rat Liver Tumor Model Despite Cardiovascular Changes

Steingoetter, Andreas; Svensson, Jonas LU ; Kosanke, Yvonne; Botnar, Rene M.; Schwaiger, Markus; Rummeny, Ernst and Braren, Rickmer (2011) In Magnetic Resonance in Medicine 65(1). p.229-238
Abstract
In this work, two pharmacokinetic modeling techniques, population arterial input function model, and reference region model, were applied to dynamic contract-enhanced MRI data, to test the influence of a change in heart rate on modeling parameters. A rat population arterial input function was generated by dynamic contrast-enhanced computed tomography measurements using the MR contrast agent gadolinium diethylenetriamine penta-acetic acid. Then, dynamic contract-enhanced MRI was used for treatment monitoring in two groups of hepatocellular carcinoma bearing rats. Whereas group 1 had the same heart rate as animals analyzed for the population arterial input function (263 +/- 20 bpm), group 2 had a higher heart rate (369 +/- 11 bpm) due to a... (More)
In this work, two pharmacokinetic modeling techniques, population arterial input function model, and reference region model, were applied to dynamic contract-enhanced MRI data, to test the influence of a change in heart rate on modeling parameters. A rat population arterial input function was generated by dynamic contrast-enhanced computed tomography measurements using the MR contrast agent gadolinium diethylenetriamine penta-acetic acid. Then, dynamic contract-enhanced MRI was used for treatment monitoring in two groups of hepatocellular carcinoma bearing rats. Whereas group 1 had the same heart rate as animals analyzed for the population arterial input function (263 +/- 20 bpm), group 2 had a higher heart rate (369 +/- 11 bpm) due to a different anesthesia protocol. The pharmacokinetic modeling parameters volume transfer constant K-trans and relative extravascular extracellular space v(e) were calculated with both models and statistically compared. For group 1, good correlation and agreement was found between the models showing no difference in K-trans and v(e) (Delta K-trans:4 +/- 19% and Delta v(e):4 +/- 12%, P = 0.2). In contrast, for group 2, a bias in parameter values for the population arterial input function model was detected (Delta K-trans: -45 +/- 7% and Delta v(e):-31 +/- 7%, P <= 0.001). The presented work underlines the value of the reference region model in longitudinal treatment monitoring and provides a straightforward approach for the generation of a rat population arterial input function. Magn Reson Med 65: 229-238, 2011. (C) 2010 Wiley-Liss, Inc. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
quantitative dynamic contract-enhanced MRI, population arterial input, function, reference region model, hepatocellular carcinoma rat tumor, model
in
Magnetic Resonance in Medicine
volume
65
issue
1
pages
229 - 238
publisher
Wiley Online Library
external identifiers
  • wos:000285963500026
  • scopus:79954440790
ISSN
1522-2594
DOI
10.1002/mrm.22589
language
English
LU publication?
yes
id
9d165fa8-4ce4-40cc-b8da-36cdf2d0f47d (old id 1869049)
date added to LUP
2011-04-04 09:50:33
date last changed
2017-01-01 03:29:33
@article{9d165fa8-4ce4-40cc-b8da-36cdf2d0f47d,
  abstract     = {In this work, two pharmacokinetic modeling techniques, population arterial input function model, and reference region model, were applied to dynamic contract-enhanced MRI data, to test the influence of a change in heart rate on modeling parameters. A rat population arterial input function was generated by dynamic contrast-enhanced computed tomography measurements using the MR contrast agent gadolinium diethylenetriamine penta-acetic acid. Then, dynamic contract-enhanced MRI was used for treatment monitoring in two groups of hepatocellular carcinoma bearing rats. Whereas group 1 had the same heart rate as animals analyzed for the population arterial input function (263 +/- 20 bpm), group 2 had a higher heart rate (369 +/- 11 bpm) due to a different anesthesia protocol. The pharmacokinetic modeling parameters volume transfer constant K-trans and relative extravascular extracellular space v(e) were calculated with both models and statistically compared. For group 1, good correlation and agreement was found between the models showing no difference in K-trans and v(e) (Delta K-trans:4 +/- 19% and Delta v(e):4 +/- 12%, P = 0.2). In contrast, for group 2, a bias in parameter values for the population arterial input function model was detected (Delta K-trans: -45 +/- 7% and Delta v(e):-31 +/- 7%, P &lt;= 0.001). The presented work underlines the value of the reference region model in longitudinal treatment monitoring and provides a straightforward approach for the generation of a rat population arterial input function. Magn Reson Med 65: 229-238, 2011. (C) 2010 Wiley-Liss, Inc.},
  author       = {Steingoetter, Andreas and Svensson, Jonas and Kosanke, Yvonne and Botnar, Rene M. and Schwaiger, Markus and Rummeny, Ernst and Braren, Rickmer},
  issn         = {1522-2594},
  keyword      = {quantitative dynamic contract-enhanced MRI,population arterial input,function,reference region model,hepatocellular carcinoma rat tumor,model},
  language     = {eng},
  number       = {1},
  pages        = {229--238},
  publisher    = {Wiley Online Library},
  series       = {Magnetic Resonance in Medicine},
  title        = {Reference Region-Based Pharmacokinetic Modeling in Quantitative Dynamic Contract-Enhanced MRI Allows Robust Treatment Monitoring in a Rat Liver Tumor Model Despite Cardiovascular Changes},
  url          = {http://dx.doi.org/10.1002/mrm.22589},
  volume       = {65},
  year         = {2011},
}