Differentiation of fibroblastic meningiomas from other benign subtypes using diffusion tensor imaging

Area of Science:

• Neurosurgery
• Radiology
• Oncology

Background:

• Meningiomas are common primary tumors of the central nervous system.
• Differentiating benign meningioma subtypes preoperatively is crucial for surgical planning.
• Fibroblastic meningiomas are often associated with a harder consistency, impacting surgical approach.

Purpose of the Study:

• To evaluate the utility of diffusion tensor imaging (DTI) in differentiating fibroblastic meningiomas from other benign meningioma subtypes.
• To correlate DTI parameters with histological findings and intraoperative consistency.

Main Methods:

• DTI data from 30 patients with benign meningiomas were analyzed.
• Diffusion tensors, mean diffusivity (MD), fractional anisotropy (FA), and tensor shape maps were calculated.
• DTI findings were compared with postoperative histopathology.

Main Results:

• Fractional anisotropy (FA) was the most effective parameter for differentiating meningioma subtypes (p<0.0001).
• Endothelial meningiomas exhibited predominantly spherical tensors (isotropic diffusion), while fibroblastic meningiomas showed a significant percentage of nonspherical tensors (planar/longitudinal diffusion) (p<0.0001).
• A capsule-like rim of in-plane diffusion was observed around most meningiomas.

Conclusions:

• DTI-based measurement of FA and tensor shape analysis are promising for distinguishing fibroblastic meningiomas.
• This non-invasive method may help predict tumor consistency (hard vs. soft) preoperatively.
• Further correlation with intraoperative findings is warranted to confirm clinical utility.