Cerebral gliomas: prospective comparison of multivoxel 2D chemical-shift imaging proton MR spectroscopy, echoplanar

D Yang1, Y Korogi, T Sugahara

  • 1Department of Radiology, Kumamoto University School of Medicine, Kumamoto, Japan.

Neuroradiology
|August 20, 2002
PubMed

Insights

Advanced MRI techniques like diffusion, perfusion, and proton MR spectroscopy (MRS) offer valuable insights for grading brain gliomas. These methods provide complementary diagnostic information beyond conventional MRI assessments.

Area of Science:

  • Neuroimaging
  • Oncology
  • Radiology

Background:

  • Conventional MRI has limitations in accurately grading gliomas.
  • Diffusion-weighted MRI, perfusion MRI, and proton MR spectroscopy (MRS) are advanced techniques for brain lesion study.

Purpose of the Study:

  • To evaluate the utility of diffusion-weighted MRI, perfusion MRI, and multivoxel proton MRS in grading gliomas.
  • To compare the diagnostic information provided by these advanced MRI techniques against conventional MRI.

Main Methods:

  • Seventeen patients with histologically verified gliomas were studied.
  • Advanced MRI techniques (multivoxel proton MRS, echoplanar diffusion and perfusion MRI) were added to routine MRI examinations.
  • Key metrics including minimum apparent diffusion coefficient (ADC), maximum relative cerebral blood volume (CBV), and metabolic peak area ratios (e.g., Choline/N-acetylaspartate) were calculated.

Main Results:

  • High-grade gliomas showed significantly lower minimum ADC values (0.92×10⁻³ mm²/s) compared to low-grade gliomas (1.28×10⁻³ mm²/s).
  • Proton MRS revealed significant differences in metabolic ratios (e.g., Cho/NAA, Cho/Cr) between high- and low-grade gliomas.
  • High-grade gliomas exhibited significantly higher maximum relative CBV (6.10) than low-grade gliomas (1.74).

Conclusions:

  • Echoplanar diffusion, perfusion MRI, and multivoxel proton MRS provide crucial diagnostic information for glioma grading.
  • These advanced MRI techniques offer complementary data not obtainable with conventional MRI.
  • The integration of these advanced MRI methods can improve the accuracy of glioma grading.