論文

査読有り
2003年7月

Dynamic T1 estimation of brain tumors using double-echo dynamic MR imaging

JOURNAL OF MAGNETIC RESONANCE IMAGING
  • Y Ishimori
  • ,
  • H Kimura
  • ,
  • H Uematsu
  • ,
  • T Matsuda
  • ,
  • H Itoh

18
1
開始ページ
113
終了ページ
120
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1002/jmri.10331
出版者・発行元
JOHN WILEY & SONS INC

Purpose: To assess the clinical utility of a new method for real-time estimation of T1 during the first pass of contrast agent by using this method to examine brain tumors.
Materials and Methods: The multi-phase spoiled gradient-echo pulse sequence using the double-echo magnetic resonance (MR) technique was modified. In the first half of the pulse sequence, the flip angle was varied systematically. Then, static T1 values were calculated using differences in MR signal intensities between different flip angles. In the latter half of this sequence, changes in absolute T1 were calculated using differences in signal intensities before and after injection of contrast agent. The double-echo MR data were used to minimize the T2* effect. Five cases of neurinoma and seven cases of meningioma were examined. Changes in T1 during the first pass of contrast agent were compared between neurinoma and meningioma.
Results: Changes in absolute T1 were clearly demonstrated on the parametric map. Although the changes in absolute T1 during the first pass of contrast agent did not allow differentiation between the two types of tumors, the mean gradient after the first pass was statistically higher for neurinoma than for meningioma (P < 0.05; meningioma, 0.011 +/- 0.012 second(-1)/second; neurinoma, 0.034 +/- 0.020 second(-1)/second).
Conclusion: The present method appears to be useful for estimation of dynamic T1 changes in brain tumors in clinical settings.

リンク情報
DOI
https://doi.org/10.1002/jmri.10331
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/12815646
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000183899500013&DestApp=WOS_CPL
ID情報
  • DOI : 10.1002/jmri.10331
  • ISSN : 1053-1807
  • PubMed ID : 12815646
  • Web of Science ID : WOS:000183899500013

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