Prediction of hard meningiomas: quantitative evaluation based on the magnetic resonance signal intensity

Keita Watanabe1, Shingo Kakeda2, Junkoh Yamamoto3

  • 1Department of Radiology, University of Occupational and Environmental Health School of Medicine, Japan sapient@med.uoeh-u.ac.jp.

Abstract

Insights

Predicting meningioma consistency before surgery is crucial. This study found that T2-weighted (T2W) imaging and FLAIR sequences can quantitatively assess meningioma hardness, aiding surgical planning.

Area of Science:

  • Neurosurgery
  • Radiology
  • Medical Imaging

Background:

  • Accurate presurgical prediction of meningioma consistency is valuable for surgical planning.
  • Understanding tumor characteristics preoperatively can optimize surgical approaches and outcomes.

Purpose of the Study:

  • To quantitatively correlate magnetic resonance (MR) signal intensity (SI) and apparent diffusion coefficient (ADC) with meningioma consistency.
  • To identify which MR sequences are most effective in predicting hard meningiomas.

Main Methods:

  • 43 patients with meningiomas underwent preoperative MR imaging (MRI) including T1W, T2W, FLAIR, DWI, CE-T1W, and CE-FIESTA sequences.
  • Tumor consistency was assessed using a visual analog scale (VAS) from 0 (soft) to 10 (hard).
  • SI ratio and ADC values were compared with VAS scores to predict hard meningiomas (VAS ≥8).

Main Results:

  • A significant negative correlation was found between tumor consistency and SI ratio on T2W, FLAIR, and CE-FIESTA sequences (P<0.05).
  • T1W, CE-T1W, and ADC values did not show a significant correlation with tumor consistency.
  • T2W imaging achieved 89% sensitivity, 79% specificity, and 81% accuracy for predicting hard meningiomas.

Conclusions:

  • Quantitative assessment using conventional T2W imaging or FLAIR is a simple and effective method for predicting hard meningiomas.
  • These MR sequences can aid surgeons in presurgical planning for meningioma resection.