In vivo correlation between semi-quantitative hemodynamic parameters and K trans derived from DCE-MRI of brain tumors

Chih Feng Chen, Ling Wei Hsu, Chun Chung Lui, Chen Chang Lee, Hsu Huei Weng, Yuan Hsiung Tsai, Ho Ling Liu*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

7 Scopus citations

Abstract

Dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) has become more and more widely applied in cancer diagnosis and treatment follow-up. Without complicated calculation, a semiquantitative parameter - modified initial area under the curve (mIAUC c) - was proposed for better correlation with volume transfer constant (K trans) by computer simulation. In this study, we aim to further investigate the correlation between mIAUC c and K trans in clinical. A total of 10 patients with brain tumors participated in this study and images were acquired by using a 3-Tesla clinical MR scanner. The results showed that mIAUC c was highly correlated with K trans with the correlation coefficient of 0.913. Although the ideals of K trans and mIAUC c are different, mIAUC c does the trick for brain tumors evaluations in DCE-MRI. It reveals that mIAUC c could be an alternative for physiological condition evaluation in DCE-MRI.

Original languageEnglish
Pages (from-to)132-136
Number of pages5
JournalInternational Journal of Imaging Systems and Technology
Volume22
Issue number2
DOIs
StatePublished - 06 2012
Externally publishedYes

Keywords

  • dynamic contrast enhanced
  • initial area under the curve
  • magnetic resonance imaging
  • volume transfer constant

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