Feasibility of using limited-population-based average R(10) for pharmacokinetic modeling of osteosarcoma dynamic contrast-enhanced magnetic resonance imaging data Journal Article


Authors: Huang, W.; Wang, Y.; Panicek, D. M.; Schwartz, L. H.; Koutcher, J. A.
Article Title: Feasibility of using limited-population-based average R(10) for pharmacokinetic modeling of osteosarcoma dynamic contrast-enhanced magnetic resonance imaging data
Abstract: Retrospective analyses of clinical dynamic contrast-enhanced (DCE) MRI studies may be limited by failure to measure the longitudinal relaxation rate constant (R(1)) initially, which is necessary for quantitative analysis. In addition, errors in R(1) estimation in each individual experiment can cause inconsistent results in derivations of pharmacokinetic parameters, K(trans) and v(e), by kinetic modeling of the DCE-MRI time course data. A total of 18 patients with lower extremity osteosarcomas underwent multislice DCE-MRI prior to surgery. For the individual R(1) measurement approach, the R(1) time course was obtained using the two-point R(1) determination method. For the average R(10) (precontrast R(1)) approach, the R(1) time course was derived using the DCE-MRI pulse sequence signal intensity equation and the average R(10) value of this population. The whole tumor and histogram median K(trans) (0.57±0.37 and 0.45±0.32 min(-1)) and v(e) (0.59±0.20 and 0.56±0.17) obtained with the individual R(1) measurement approach are not significantly different (paired t test) from those (K(trans): 0.61±0.46 and 0.44±0.33 min(-1); v(e): 0.61±0.19 and 0.55±0.14) obtained with the average R(10) approach. The results suggest that it is feasible, as well as practical, to use a limited-population-based average R(10) for pharmacokinetic modeling of osteosarcoma DCE-MRI data. © 2009 Elsevier Inc. All rights reserved.
Keywords: osteosarcoma; clinical article; controlled study; human tissue; bone neoplasms; histopathology; nuclear magnetic resonance imaging; magnetic resonance imaging; sensitivity and specificity; reproducibility of results; models, biological; image interpretation, computer-assisted; retrospective study; algorithms; population research; feasibility study; image enhancement; feasibility studies; quantitative analysis; contrast enhancement; contrast media; computer simulation; gadolinium pentetate; drug determination; signal processing; experimental design; dynamic contrast-enhanced mri; k<sup>trans</sup>; pharmacokinetic modeling; r<sub>1</sub>; v<sub>e</sub>; analytical error; diffusion coefficient; drug diffusion; leg disease; radiofrequency
Journal Title: Magnetic Resonance Imaging
Volume: 27
Issue: 6
ISSN: 0730-725X
Publisher: Elsevier Science, Inc.  
Date Published: 2009-07-01
Start Page: 852
End Page: 858
Language: English
DOI: 10.1016/j.mri.2009.01.020
PUBMED: 19282123
PROVIDER: scopus
PMCID: PMC2722921
DOI/URL:
Notes: --- - "Cited By (since 1996): 2" - "Export Date: 30 November 2010" - "CODEN: MRIMD" - "Source: Scopus"
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MSK Authors
  1. David M Panicek
    115 Panicek
  2. Lawrence H Schwartz
    281 Schwartz
  3. Jason A Koutcher
    233 Koutcher
  4. Wei Huang
    24 Huang
  5. Ya Wang
    20 Wang