Papers

Peer-reviewed
Oct, 2002

Measurement of the vascularity and vascular leakage of gliomas by double-echo dynamic magnetic resonance imaging - A preliminary study

INVESTIGATIVE RADIOLOGY
  • H Uematsu
  • M Maeda
  • N Sadato
  • Y Ishimori
  • T Matsuda
  • Y Koshimoto
  • H Kimura
  • H Yamada
  • Y Kawamura
  • H Takeuchi
  • Y Yonekura
  • H Itoh
  • Display all

Volume
37
Number
10
First page
571
Last page
576
Language
English
Publishing type
Research paper (scientific journal)
DOI
10.1097/01.RLI.0000028483.51109.29
Publisher
LIPPINCOTT WILLIAMS & WILKINS

RATIONALE AND OBJECTIVE. To evaluate the vascularity and vascular leakage of well-enhanced gliomas by double-echo dynamic magnetic resonance (MR) imaging.
MATERIALS AND METHODS. Eight patients with glioblastoma multiforme (GBM) and two patients with juvenile pilocytic astrocytoma (JPA) were studied. Double-echo dynamic MR imaging was utilized to separate the T2* shortening effect and the T1 shortening effect. The former was represented by the vascularity index, and the latter was represented by the leakage index. These indexes were compared with histopathologic data.
RESULTS. The mean vascularity index of the GBM was higher than that of the JPA (mean +/- SD, 3.48 +/- 1.57 [GBM] versus 0.51 +/- 0.29 [JPA]), and the mean leakage index of the JPA was higher than that of the GBM (1.35 +/- 0.87 [JPA] versus 0.27 +/- 0.15 [GBM]). Abundant vascularity was noted in the tight interstitial space in the pathologic specimen of GBM. Conversely, sparse vasculature was observed in the wide interstitial space in the pathologic specimen of JPA.
CONCLUSION. This method may enable better characterization of grade in well-enhanced glioma by providing the information on the vascularity and leakage indexes.

Link information
DOI
https://doi.org/10.1097/01.RLI.0000028483.51109.29
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/12352166
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000178276400006&DestApp=WOS_CPL
ID information
  • DOI : 10.1097/01.RLI.0000028483.51109.29
  • ISSN : 0020-9996
  • Pubmed ID : 12352166
  • Web of Science ID : WOS:000178276400006

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