ArticlePloS one2016
A Probabilistic Atlas of Diffuse WHO Grade II Glioma Locations in the Brain.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Probabilistic MRI Maps for the Presentation and Management of Intracranial Meningiomas.Radiology. Imaging cancer · 2026Article
- Data-driven probabilistic mapping of the spatial and molecular landscape of glioma.Brain communications · 2026Article
- Molecular Foundations of Neuroplasticity in Brain Tumours: From Microscopic Adaptation to Functional Reorganisation.International journal of molecular sciences · 2025Review
- Anatomical and subcortical invasiveness in diffuse low-grade astrocytomas differ between IDH status and provide prognostic information.Upsala journal of medical sciences · 2024Article
- Spatial mapping of tumor heterogeneity in whole-body PET-CT: a feasibility study.Biomedical engineering online · 2023Article
- IDH1/2 wildtype gliomas grade 2 and 3 with molecular glioblastoma-like profile have a distinct course of epilepsy compared to IDH1/2 wildtype glioblastomas.Neuro-oncology · 2023Article
- Presurgical Executive Functioning in Low-Grade Glioma Patients Cannot Be Topographically Mapped.Cancers · 2023Article
- High-resolution cortical parcellation based on conserved brain landmarks for localization of multimodal data to the nearest centimeter.Scientific reports · 2022Article
- The Distribution of Major Brain Metabolites in Normal Adults: Short Echo Time Whole-Brain MR Spectroscopic Imaging Findings.Metabolites · 2022Article
- The immunology of low-grade gliomas.Neurosurgical focus · 2022Review
- White Matter Tracts and Diffuse Lower-Grade Gliomas: The Pivotal Role of Myelin Plasticity in the Tumor Pathogenesis, Infiltration Patterns, Functional Consequences and Therapeutic Management.Frontiers in oncology · 2022Review
- Pseudo-insular glioma syndrome: illustrative cases.Journal of neurosurgery. Case lessons · 2021Article
- Article
- Preferential tumor localization in relation toJournal of neuro-oncology · 2021Article
- Contralesional functional network reorganization of the insular cortex in diffuse low-grade glioma patients.Scientific reports · 2021Article
- The link between gliomas infiltration and white matter architecture investigated with electron microscopy and diffusion tensor imaging.NeuroImage. Clinical · 2021Article
- Fully Automatic Calibration of Tumor-Growth Models Using a Single mpMRI Scan.IEEE transactions on medical imaging · 2021Article
- Lower-Grade Gliomas: An Epidemiological Voxel-Based Analysis of Location and Proximity to Eloquent Regions.Frontiers in oncology · 2021Article
- Identifying resting-state effective connectivity abnormalities in drug-naïve major depressive disorder diagnosis via graph convolutional networks.Human brain mapping · 2020Article
- Differences in the preferential location and invasiveness of diffuse low-grade gliomas and their impact on outcome.Cancer medicine · 2020Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diffuse WHO grade II gliomas are diffusively infiltrative brain tumors characterized by an unavoidable anaplastic transformation. Their management is strongly dependent on their location in the brain due to interactions with functional regions and potential differences in molecular biology. In this paper, we present the construction of a probabilistic atlas mapping the preferential locations of diffuse WHO grade II gliomas in the brain. This is carried out through a sparse graph whose nodes correspond to clusters of tumors clustered together based on their spatial proximity. The interest of such an atlas is illustrated via two applications. The first one correlates tumor location with the patient's age via a statistical analysis, highlighting the interest of the atlas for studying the origins and behavior of the tumors. The second exploits the fact that the tumors have preferential locations for automatic segmentation. Through a coupled decomposed Markov Random Field model, the atlas guides the segmentation process, and characterizes which preferential location the tumor belongs to and consequently which behavior it could be associated to. Leave-one-out cross validation experiments on a large database highlight the robustness of the graph, and yield promising segmentation results.
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