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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