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Comparison of three physiologically-based pharmacokinetic models for the prediction of contrast agent distribution measured by dynamic MR imaging.

Publication ,  Journal Article
Barboriak, DP; MacFall, JR; Viglianti, BL; Dewhirst Dvm, MW
Published in: J Magn Reson Imaging
June 2008

PURPOSE: To compare the performance of three physiologically-based pharmacokinetic (PBPK) models for predicting gadolinium contrast agent concentration-time curves (Gd-CTCs) obtained in superior sagittal sinus (SSS), cerebral cortex, and psoas muscle. MATERIALS AND METHODS: Three published whole-body PBPK models were modified to predict Gd-CTCs in normal-appearing tissue. The models differed in the number of organs modeled and total number of compartments, and were designated as the "well-mixed," "delay," and "dispersion" models. The suitability of the three models to predict Gd-CTC was studied using data from dynamic contrast-enhanced MR perfusion imaging obtained at 1.5T from 10 patients with glioblastoma multiforme and at 3.0T from five patients with liver metastases. RESULTS: The dispersion model produced better fits than the delay model in the SSS (P < 0.0001) and cerebral cortex (P < 0.0001), and better fits than the well-mixed model in psoas muscle (P < 0.005). No model produced better fits than the dispersion model at any of the three locations. CONCLUSION: In this evaluation, the dispersion model was most robust for prediction of Gd-CTCs derived from dynamic contrast-enhanced (DCE)-MRI. This represents a preliminary step in the development of a PBPK model useful for predicting Gd-CTCs at a time resolution appropriate for dynamic MRI applications.

Duke Scholars

Published In

J Magn Reson Imaging

DOI

ISSN

1053-1807

Publication Date

June 2008

Volume

27

Issue

6

Start / End Page

1388 / 1398

Location

United States

Related Subject Headings

  • Tissue Distribution
  • Superior Sagittal Sinus
  • Psoas Muscles
  • Predictive Value of Tests
  • Nuclear Medicine & Medical Imaging
  • Models, Biological
  • Middle Aged
  • Male
  • Magnetic Resonance Imaging
  • Liver Neoplasms
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Barboriak, D. P., MacFall, J. R., Viglianti, B. L., & Dewhirst Dvm, M. W. (2008). Comparison of three physiologically-based pharmacokinetic models for the prediction of contrast agent distribution measured by dynamic MR imaging. J Magn Reson Imaging, 27(6), 1388–1398. https://doi.org/10.1002/jmri.21344
Barboriak, Daniel P., James R. MacFall, Benjamin L. Viglianti, and Mark W. Dewhirst Dvm. “Comparison of three physiologically-based pharmacokinetic models for the prediction of contrast agent distribution measured by dynamic MR imaging.J Magn Reson Imaging 27, no. 6 (June 2008): 1388–98. https://doi.org/10.1002/jmri.21344.
Barboriak DP, MacFall JR, Viglianti BL, Dewhirst Dvm MW. Comparison of three physiologically-based pharmacokinetic models for the prediction of contrast agent distribution measured by dynamic MR imaging. J Magn Reson Imaging. 2008 Jun;27(6):1388–98.
Barboriak, Daniel P., et al. “Comparison of three physiologically-based pharmacokinetic models for the prediction of contrast agent distribution measured by dynamic MR imaging.J Magn Reson Imaging, vol. 27, no. 6, June 2008, pp. 1388–98. Pubmed, doi:10.1002/jmri.21344.
Barboriak DP, MacFall JR, Viglianti BL, Dewhirst Dvm MW. Comparison of three physiologically-based pharmacokinetic models for the prediction of contrast agent distribution measured by dynamic MR imaging. J Magn Reson Imaging. 2008 Jun;27(6):1388–1398.
Journal cover image

Published In

J Magn Reson Imaging

DOI

ISSN

1053-1807

Publication Date

June 2008

Volume

27

Issue

6

Start / End Page

1388 / 1398

Location

United States

Related Subject Headings

  • Tissue Distribution
  • Superior Sagittal Sinus
  • Psoas Muscles
  • Predictive Value of Tests
  • Nuclear Medicine & Medical Imaging
  • Models, Biological
  • Middle Aged
  • Male
  • Magnetic Resonance Imaging
  • Liver Neoplasms