Preoperative Grading of Astrocytic Supratentorial Brain Tumors with Diffusion-Weighted Magnetic Resonance Imaging and

Mahsa Raisi-Nafchi1, Fariborz Faeghi1, Alireza Zali2

  • 1Department of Radiology Technology, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Abstract

Insights

Diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) measurements aid in preoperative grading of brain tumors. Minimum ADC, maximum ADC, and maximum DWI signal intensity effectively differentiate low-grade from high-grade astrocytomas.

Area of Science:

  • Neuroradiology
  • Oncology
  • Medical Imaging

Background:

  • Diffusion-weighted imaging (DWI) is a magnetic resonance imaging (MRI) technique that measures water molecule diffusion in tissues.
  • DWI is valuable for characterizing brain tumors, including astrocytomas.

Purpose of the Study:

  • To assess the diagnostic utility of DWI and apparent diffusion coefficient (ADC) for preoperative grading of supratentorial astrocytic brain tumors.
  • To differentiate between low-grade and high-grade astrocytomas using quantitative MRI parameters.

Main Methods:

  • Twenty-three patients with astrocytic supratentorial brain tumors underwent conventional MRI and DWI.
  • Minimum, maximum, and mean ADC values and DWI signal intensities were measured.
  • Statistical analyses, including Mann-Whitney U test, Spearman correlation, and ROC analysis, were employed.

Main Results:

  • A significant inverse correlation was found between minimum ADC and tumor grade (P=0.006).
  • Maximum ADC and maximum DWI signal intensity showed a direct correlation with tumor grade (P=0.013, P=0.035).
  • ROC analysis identified optimal cutoff values for minimum ADC (0.843 × 10⁻³ mm²/s), maximum ADC (2.117 × 10⁻³ mm²/s), and maximum DWI (165.2) for distinguishing tumor grades.

Conclusions:

  • Minimum ADC, maximum ADC, and maximum DWI signal intensity provide valuable preoperative grading information for astrocytic brain tumors.
  • These quantitative DWI parameters can assist in surgical planning and patient management.