Magnetic Resonance Imaging in Glial Tumor Assessment
Summary
Magnetic resonance imaging (MRI) has become the cornerstone of diagnosis, treatment planning and follow-up in patients with glial tumours. Conventional T1- and T2-weighted sequences delineate tumour bulk, peritumoral oedema and necrosis, while contrast enhancement on T1-weighted images highlights regions of blood–brain barrier disruption. Advanced techniques—including diffusion-weighted imaging, perfusion-weighted imaging, relaxometry and magnetic resonance spectroscopy—provide quantitative measures of cellularity, vascularity, tissue composition and metabolic activity. These methods reveal microscopic infiltration beyond regions of contrast enhancement, characterise histological heterogeneity and guide targeted biopsies. Multiparametric approaches integrate complementary data to create voxel-wise maps of tumour burden, aiding in surgical and radiotherapy planning. Longitudinal imaging further informs on treatment response, distinguishing true progression from pseudoprogression. By combining structural, physiological and biochemical information, MRI offers a non-invasive window into tumour biology, supports prognostic stratification and underpins personalised management of patients with glioma.*
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Magnetic Resonance Imaging in Glial Tumor Assessment publication trend
The graph below shows the total number of articles in magnetic resonance imaging in glial tumor assessment across all publications each year (not limited to Nature Index journals).
Technical terms
Fluid-attenuated inversion recovery (FLAIR): MRI sequence that suppresses cerebrospinal fluid signal to highlight lesions in white matter and peritumoral regions.
Diffusion-weighted imaging (DWI): Technique sensitive to the Brownian motion of water molecules, used to infer tissue cellularity and integrity.
Apparent diffusion coefficient (ADC): Quantitative value derived from DWI reflecting the degree of water diffusion within tissue.
Perfusion-weighted imaging: Methods (such as dynamic susceptibility contrast) that measure cerebral blood flow, volume and mean transit time in tumours.
Relaxometry: Quantitative assessment of relaxation rates (R1, R2) to characterise tissue microstructure and composition.
Magnetic resonance spectroscopy (MRS): Non-invasive measurement of metabolite concentrations (for example choline, N-acetyl aspartate) within defined regions of interest.
Texture analysis: Computational evaluation of image intensity patterns to quantify heterogeneity and structural complexity within the tumour.
References
- Tumor Infiltration in Enhancing and Non-Enhancing Parts of Glioblastoma: A Correlation with Histopathology. PLOS ONE (2017).
- Multi-Parametric MRI and Texture Analysis to Visualize Spatial Histologic Heterogeneity and Tumor Extent in Glioblastoma. PLOS ONE (2015).
- Quantitative MRI for analysis of peritumoral edema in malignant gliomas. PLOS ONE (2017).
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