Usefulness of the apparent diffusion coefficient (ADC) for predicting the consistency of intracranial meningiomas

Akira Yogi1, Tomomi Koga1, Kimei Azama1

  • 1Department of Radiology, Graduated School of Medical Science, University of the Ryukyus, Okinawa, Japan.

Clinical Imaging
|August 2, 2014
PubMed

Insights

Minimum apparent diffusion coefficient (ADC) values can predict meningioma consistency. Lower ADC values indicate harder tumors, aiding surgical planning for meningiomas.

Area of Science:

  • Neurosurgery
  • Radiology
  • Oncology

Background:

  • Meningioma consistency is crucial for surgical intervention.
  • Tumor cellularity and fibrous tissue influence meningioma consistency.
  • Apparent diffusion coefficient (ADC) is a quantitative MRI metric.

Purpose of the Study:

  • To investigate the correlation between minimum ADC values and meningioma consistency.
  • To assess the potential of ADC values as a predictor of tumor consistency.

Main Methods:

  • Retrospective analysis of 28 meningiomas from 27 patients.
  • Measurement of minimum ADC values in all enrolled meningiomas.
  • Correlation analysis between minimum ADC values and surgically determined tumor consistency (hard vs. soft).

Main Results:

  • A significant inverse correlation was found between minimum ADC values and meningioma consistency.
  • Meningiomas with hard consistency exhibited significantly lower minimum ADC values compared to soft meningiomas.

Conclusions:

  • Minimum ADC values show potential as a non-invasive predictor of meningioma consistency.
  • This finding may assist in preoperative surgical planning for meningioma patients.