Perfusion MR Imaging in Gliomas: Comparison with Histologic Tumor Grade

  • Sun Joo Lee
  • , Jae Hyoung Kim
  • , Young Mee Kim
  • , Gyung Kyu Lee
  • , Eun Ja Lee
  • , In Sung Park
  • , Jin Myung Jung
  • , Kyeong Hun Kang
  • , Taemin Shin

Research output: Contribution to journalArticlepeer-review

53 Scopus citations

Abstract

Objective: To determine the usefulness of perfusion MR imaging in assessing the histologic grade of cerebral gliomas. Materials and Methods: In order to determine relative cerebral blood volume (rCBV), 22 patients with pathologically proven gliomas (9 glioblastomas, 9 anaplastic gliomas and 4 low-grade gliomas) underwent dynamic contrast-enhanced T2*-weighted and conventional T1- and T2-weighted imaging. rCBV maps were obtained by fitting a gamma-variate function to the contrast material concentration versus time curve. rCBV ratios between tumor and normal white matter (maximum rCBV of tumor / rCBV of contralateral white matter) were calculated and compared between glioblastomas, anaplastic gliomas and low-grade gliomas. Results: Mean rCBV ratios were 4.90° ± 1.01 for glioblastomas, 3.97° ± 0.56 for anaplastic gliomas and 1.75° ± 1.51 for low-grade gliomas, and were thus significantly different; p < .05 between glioblastomas and anaplastic gliomas, p < .05 between anaplastic gliomas and low-grade gliomas, p < .01 between glioblastomas and low-grade gliomas. The rCBV ratio cutoff value which permitted discrimination between high-grade (glioblastomas and anaplastic gliomas) and low-grade gliomas was 2.60, and the sensitivity and specificity of this value were 100% and 75%, respectively. Conclusion: Perfusion MR imaging is a useful and reliable technique for estimating the histologic grade of gliomas.

Original languageEnglish
Pages (from-to)1-7
Number of pages7
JournalKorean Journal of Radiology
Volume2
Issue number1
DOIs
StatePublished - 2001

Keywords

  • Blood flow cerebral blood vessels
  • Brain neoplasms
  • Contrast enhancement
  • Flow dynamics magnetic resonance (MR)
  • MR brain

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