Grading of oligodendroglial tumors of the brain with apparent diffusion coefficient, magnetic resonance spectroscopy, and dynamic susceptibility contrast imaging

The Neuroradiology Journal
Muhammad Atif NaveedRajiv Mangla

Abstract

Purpose We explored whether advanced magnetic resonance (MR) imaging techniques could grade oligodendrogliomas. Methods Forty patients (age 9-61 years) with oligodendroglial tumors were selected. There were 23 patients with World Health Organization grade II (group 1) and 17 patients with grade III (group 2) tumors. Apparent diffusion coefficient (ADC) maps were calculated by b values of 0 and 1000 s/mm2. Dynamic susceptibility contrast (DSC) images were obtained during the first pass of a bolus of gadolinium-based contrast. These data were post-processed and cerebral blood volume (CBV) maps and permeability (PS) were calculated. MR spectroscopy was acquired after drawing a region of interest on the tumor using two-dimensional chemical shift imaging. Statistical analysis was performed using SPSS software. Results When the rPSmax was combined with the rCBVmax, there was a significant difference between the two groups ( p ≤ 0.03) with area under the curve of 0.742 (95% CI: 0.412-0.904). rCBV, rADC, choline/creatine, and choline/NAA alone were able to differentiate between the two groups; however, they did not show any statistical difference with p values of ≤ 0.121, ≤ 0.722, and ≤ 0.582, respectively. A CBV PS product threshold o...Continue Reading

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Citations

May 3, 2019·The Neuroradiology Journal·Sanjeev ChawlaS Ali Nabavizadeh
May 28, 2019·AJNR. American Journal of Neuroradiology·N SoniG Bathla
Mar 23, 2021·Contrast Media & Molecular Imaging·Curtis K Sohn, Sotirios Bisdas

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Methods Mentioned

BETA
imaging techniques

Software Mentioned

Lund
SPSS

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