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Related Experiment Videos

Gliomas: classification with MR imaging.

B L Dean1, B P Drayer, C R Bird

  • 1Division of Neuroradiology, Barrow Neurological Institute, St Joseph's Hospital and Medical Center, Phoenix, AZ 85013.

Radiology
|February 1, 1990
PubMed
Summary
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Magnetic resonance (MR) imaging can help classify astrocytic tumors into low-grade, anaplastic, and glioblastoma types. Key MR features like mass effect and necrosis aid in this crucial tumor grading.

Area of Science:

  • Neurology
  • Radiology
  • Oncology

Background:

  • Supratentorial gliomas require accurate grading for effective treatment.
  • Distinguishing between low-grade astrocytoma, anaplastic astrocytoma, and glioblastoma multiforme is clinically significant.

Purpose of the Study:

  • To assess the utility of magnetic resonance (MR) imaging in classifying astrocytic tumors into a three-tiered system.
  • To identify specific MR imaging features that aid in differentiating tumor grades.

Main Methods:

  • Analysis of MR imaging findings in 36 pathologically verified supratentorial gliomas.
  • Comparison of MR imaging characteristics with biopsy diagnoses.
  • Evaluation of features including midline crossing, edema, signal heterogeneity, hemorrhage, border definition, cyst formation/necrosis, and mass effect.

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Main Results:

  • Mass effect (P = .0000) and cyst formation or necrosis (P = .0512) were statistically significant MR predictors.
  • MR imaging accuracy approached that of neuropathologic diagnosis.
  • MR imaging demonstrated potential as an adjunct to biopsy in challenging cases.

Conclusions:

  • MR imaging can assist in classifying astrocytic gliomas into low-grade, anaplastic, and glioblastoma multiforme.
  • Specific MR imaging features, particularly mass effect and necrosis, are valuable indicators for tumor grading.
  • MR imaging serves as a complementary tool to neuropathologic diagnosis, improving patient management.