ArticlePloS one2019
A novel radiological classification system for cerebral gliomas: The Brain-Grid.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Article
- A white matter-centered approach to investigate recurrence pathways in high-grade gliomas: a single-center retrospective study.Journal of neuro-oncology · 2025Article
- Subcortical Brain Regions Associated With Seizure Risk in Patients With IDH Mutated Diffuse Gliomas.Brain and behavior · 2025Article
- The Bulb, the Brain and the Being: New Insights into Olfactory System Anatomy, Organization and Connectivity.Brain sciences · 2025Article
- Unravelling differences and hallmarks in suspected diffuse low-grade gliomas: a multicentre database study.Brain communications · 2025Article
- Automatic and standardized reporting of perioperative MRIs in patients with central nervous system tumors.Frontiers in neurology · 2025Article
- mMolecular neurobiology · 2024Article
- Qualitative and Visual Along-Tract Analysis of Diffusion-Based Parameters in Patients with Diffuse Gliomas.Brain sciences · 2024Article
- Anatomical and subcortical invasiveness in diffuse low-grade astrocytomas differ between IDH status and provide prognostic information.Upsala journal of medical sciences · 2024Article
- Moving towards a unified classification of glioblastomas utilizing artificial intelligence and deep machine learning integration.Frontiers in oncology · 2023Article
- Depicting the anatomy of the gyral white matter:Brain communications · 2023Review
- Refined Analysis of Chronic White Matter Changes after Traumatic Brain Injury and Repeated Sports-Related Concussions: Of Use in Targeted Rehabilitative Approaches?Journal of clinical medicine · 2022Article
- Role of Preoperative Assessment in Predicting Tumor-Induced Plasticity in Patients with Diffuse Gliomas.Journal of clinical medicine · 2021Article
- HOTAIRM1 Promotes Malignant Progression of Transformed Fibroblasts in Glioma Stem-Like Cells Remodeled MicroenvironmentFrontiers in oncology · 2021Article
- The link between gliomas infiltration and white matter architecture investigated with electron microscopy and diffusion tensor imaging.NeuroImage. Clinical · 2021Article
- Time course of neurological deficits after surgery for primary brain tumours.Acta neurochirurgica · 2020Article
- Differences in the preferential location and invasiveness of diffuse low-grade gliomas and their impact on outcome.Cancer medicine · 2020Article
- The long non-coding RNA SNHG1 promotes glioma progression by competitively binding to miR-194 to regulate PHLDA1 expression.Cell death & disease · 2019Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeStandard radiological/topographical classifications of gliomas often do not reflect the real extension of the tumor within the lobar-cortical anatomy. Furthermore, these systems do not provide information on the relationship between tumor growth and the subcortical white matter architecture. We propose the use of an anatomically standardized grid system (the Brain-Grid) to merge serial morphological magnetic resonance imaging (MRI) scans with a representative tractographic atlas. Two illustrative cases are presented to show the potential advantages of this classification system.
methodsMRI scans of 39 patients (WHO grade II and III gliomas) were analyzed with a standardized grid created by intersecting longitudinal lines on the axial, sagittal, and coronal planes. The anatomical landmarks were chosen from an average brain, spatially normalized to the Montreal Neurological Institute (MNI) space and the Talairach space. Major white matter pathways were reconstructed with a deterministic tracking algorithm on a reference atlas and analyzed using the Brain-Grid system.
resultsIn all, 48 brain grid voxels (areas defined by 3 coordinates, axial (A), coronal (C), sagittal (S) and numbers from 1 to 4) were delineated in each MRI sequence and on the tractographic atlas. The number of grid voxels infiltrated was consistent, also in the MNI space. The sub-cortical insula/basal ganglia (A3-C2-S2) and the fronto-insular region (A3-C2-S1) were most frequently involved. The inferior fronto-occipital fasciculus, anterior thalamic radiation, uncinate fasciculus, and external capsule were the most frequently associated pathways in both hemispheres.
conclusionsThe Brain-Grid based classification system provides an accurate observational tool in all patients with suspected gliomas, based on the comparison of grid voxels on a morphological MRI and segmented white matter atlas. Important biological information on tumor kinetics including extension, speed, and preferential direction of progression can be observed and even predicted with this system. This novel classification can easily be applied to both prospective and retrospective cohorts of patients and increase our comprehension of glioma behavior.
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