Repeatability of a reference region model for analysis of murine DCE-MRI data at 7T

Thomas E. Yankeelov, Laura M. DeBusk, D. Dean Billheimer, Jeffrey J. Luci, P. Charles Lin, Ronald R. Price, John C. Gore

Research output: Contribution to journalArticlepeer-review

51 Scopus citations

Abstract

Purpose: To test the repeatability of a reference region (RR) model for the analysis of dynamic contrast-enhanced MRI (DCE-MRI) in a mouse model of cancer at high field. Materials and Methods: Seven mice were injected with 10 6 4T1 mammary carcinoma cells and imaged eight to 10 days later on a Varian 7.0T scanner. Two DCE-MRI studies were performed for each mouse (separated by 2.5 hours). The RR model was used to analyze the data, and returned estimates on the perfusion-permeability index (Ktrans) for the RR and the tissue of interest (TOI), as well as the extravascular extracellular volume fraction (ve) for the TOI. Results: When the first injection was compared with the second injection, all parameters tested were highly correlated (r2 = 0.90, 0.62, 0.82 for the RR K trans, TOI Ktrans, and TOI ve, respectively, with P < 0.001 for all). To observe a statistically significant change (at the 5% level) in a treatment study with seven animals in each group, log 10 changes of 0.084 and 0.077 in the tumor Ktrans and ve. respectively, are required. Conclusion: If a reliable arterial input function (AIF) is unavailable, the RR model is a reasonable alternative to measuring MRI contrast-agent (CA) kinetics in mouse models of cancer at high field.

Original languageEnglish (US)
Pages (from-to)1140-1147
Number of pages8
JournalJournal of Magnetic Resonance Imaging
Volume24
Issue number5
DOIs
StatePublished - Nov 2006
Externally publishedYes

Keywords

  • DCE-MRI
  • Kinetic modelling
  • Reference region
  • Repeatability
  • Tumor pharmacokinetics

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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