Peritumoral edema of meningiomas and metastatic brain tumors: differences in diffusion characteristics evaluated with

Cheng-Hong Toh1, Alex M-C Wong, Kuo-Chen Wei

  • 1Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Kwei Shan Hsiang, Tao-Yuan, Taiwan. eldomtoh@ms53.hinet.net

Neuroradiology
|February 21, 2007
PubMed
Abstract

Insights

Diffusion-tensor MR imaging reveals distinct differences in the peritumoral edema of metastatic brain tumors and meningiomas. Fractional anisotropy (FA) and mean diffusivity (MD) values can help differentiate these brain lesions.

Area of Science:

  • Neuroimaging
  • Radiology
  • Oncology

Background:

  • Distinguishing between meningiomas and metastatic brain tumors is crucial for patient management.
  • Peritumoral edema is a common feature in both tumor types, but its characteristics may differ.
  • Diffusion-tensor magnetic resonance (MR) imaging offers insights into tissue microstructure.

Purpose of the Study:

  • To prospectively compare fractional anisotropy (FA) and mean diffusivity (MD) in the peritumoral edema of meningiomas and metastatic brain tumors.
  • To evaluate the utility of diffusion-tensor MR imaging metrics in differentiating these intracranial lesions.

Main Methods:

  • Prospective diffusion-tensor MR imaging in 15 meningioma and 11 metastatic brain tumor patients.
  • Regions of interest (ROIs) placed in peritumoral edema and contralateral normal-appearing white matter (NAWM).
  • Measurement of FA and MD values and their ratios relative to NAWM; statistical comparison using two-sample t-tests.

Main Results:

  • Significantly different mean MD values (0.902 vs 0.820 x10(-3) mm(2)/s) and MD ratios (220.3 vs 193.1) between metastases and meningiomas (P=0.016 and P=0.006, respectively).
  • Significantly different mean FA values (0.146 vs 0.199) and FA ratios (32.3 vs 46.0) between metastases and meningiomas (P=0.005 and P=0.002, respectively).

Conclusions:

  • Peritumoral edema in metastatic brain tumors and meningiomas exhibits distinct diffusion characteristics on diffusion-tensor MR imaging.
  • FA and MD metrics show potential as biomarkers for differentiating between these brain tumor types.

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