ISSN / eISSN: 0033-8362 / 1826-6983
Dr. Elena García¹, Dr. Thomas Nguyen², Dr. Leila Patel³
1 – Department of Neuroradiology, University of Barcelona, Spain
2 – Department of Radiology, Stanford University, USA
3 – Department of Radiology, University of Cape Town, South Africa
Objective: To evaluate quantitative MRI biomarkers that differentiate low-grade from high-grade gliomas using diffusion and perfusion imaging.
Methods: Fifty patients with histologically confirmed gliomas underwent diffusion-weighted and dynamic susceptibility contrast MRI. Apparent diffusion coefficient (ADC) and relative cerebral blood volume (rCBV) values were analyzed.
Results: Mean ADC was significantly lower in high-grade tumors (0.89 ± 0.12 ×10⁻³ mm²/s) than in low-grade (1.22 ± 0.16 ×10⁻³ mm²/s, p < 0.001). Mean rCBV was higher in high-grade lesions (4.1 ± 0.9 vs. 1.8 ± 0.5, p < 0.001).
Conclusion: Combined ADC and rCBV metrics provide accurate noninvasive differentiation of glioma grades and may reduce the need for early biopsy in ambiguous cases.
Keywords: MRI, glioma, ADC, rCBV, neuro-oncology
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