ArticleJournal of neuro-oncology2017
IDH mutation and 1p19q codeletion distinguish two radiological patterns of diffuse low-grade gliomas.
Article in Journal of neuro-oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.
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Who cites it
36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.
- Conventional MRI features of adult diffuse glioma molecular subtypes: a systematic review.Neuroradiology · 2021Pooled it
- IDH wild-type WHO grade II diffuse low-grade gliomas. A heterogeneous family with different outcomes. Systematic review and meta-analysis.Neurosurgical review · 2020Pooled it
- Contrast-enhancement in supratentorial low-grade gliomas: a classic prognostic factor in the molecular age.Journal of neuro-oncology · 2019Trial
- Anatomical distribution and prognostic heterogeneity in glioma: unique clinical features of occipital glioblastoma.Journal of neuro-oncology · 2025Article
- Prediction of 1p/19q state in glioma by integrated deep learning method based on MRI radiomics.BMC cancer · 2025Article
- Structured reporting of gliomas based on VASARI criteria to improve report content and consistency.BMC medical imaging · 2025Article
- Neuroplasticity in Diffuse Low-grade Gliomas: Backward Modelling of Brain-tumor Interactions Prior to Diagnosis is Needed to Better Predict Recovery after Treatment.Current neurology and neuroscience reports · 2025Review
- Voxel-based mapping of postoperative epilepsy risk in glioma patients: supplementary motor area and limbic system correlations.Frontiers in neurology · 2025Article
- Functional and oncological outcomes following more than three consecutive surgical resections for multiple relapses of initially grade 2 IDH-mutated gliomas.Acta neurochirurgica · 2024Article
- Clusters of resilience and vulnerability: executive functioning, coping and mental distress in patients with diffuse low-grade glioma.Journal of neuro-oncology · 2024Article
- Clinical and imaging characteristics of supratentorial glioma with IDH2 mutation.Neuroradiology · 2024Article
- Emotion recognition in relation to tumor characteristics in patients with low-grade glioma.Neuro-oncology · 2024Article
- Radiogenomics Provides Insights into Gliomas Demonstrating Single-Arm 1p or 19q Deletion.AJNR. American journal of neuroradiology · 2023Article
- Conventional MRI-Derived Biomarkers of Adult-Type Diffuse Glioma Molecular Subtypes: A Comprehensive Review.Biomedicines · 2022Review
- The Concept of «Peritumoral Zone» in Diffuse Low-Grade Gliomas: Oncological and Functional Implications for a Connectome-Guided Therapeutic Attitude.Brain sciences · 2022Review
- Preoperative imaging features: Are they useful tools for predicting IDH1 mutation status in gliomas Grades II-IV?Surgical neurology international · 2022Article
- FABP5 enhances malignancies of lower-grade gliomas via canonical activation of NF-κB signaling.Journal of cellular and molecular medicine · 2021Article
- Fully automated hybrid approach to predict the IDH mutation status of gliomas via deep learning and radiomics.Neuro-oncology · 2021Article
- Lower-Grade Gliomas: An Epidemiological Voxel-Based Analysis of Location and Proximity to Eloquent Regions.Frontiers in oncology · 2021Article
- A Voxel-Based Radiographic Analysis Reveals the Biological Character of Proneural-Mesenchymal Transition in Glioblastoma.Frontiers in oncology · 2021Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diffuse low-grade gliomas (DLGG) prognosis is variable, depending on several factors, including the isocitrate dehydrogenase (IDH) mutation and the 1p19q codeletion. A few studies suggested associations between these parameters and tumor radiological characteristics including topography. Our aim was analyzing the correlations between the IDH and 1p19q statuses and the tumor intracerebral distribution (at the lobar and voxel levels), volume, and borders. We conducted a retrospective, monocentric study on a consecutive series of 198 DLGG patients. The IDH and 1p19q statuses were recorded. The pre-treatment magnetic resonance FLAIR imagings were reviewed for determination of lobar topography, tumor volume, and characterisation of tumor borders (sharp or indistinct). We conducted a voxel-based lesion-symptom mapping analysis to investigate the correlations between the IDH and 1p19q statuses and topography at the voxel level. The IDH mutation and 1p19q statuses were correlated with the tumor topography defined using lobar anatomy (p < 0.001 and p = 0.004, respectively). Frontal tumors were more frequently IDH-mutant (87.1 vs. 57.4%) and 1p19q codeleted (45.2 vs. 17.0%) than temporo-insular lesions. At the voxel level, these associations were not found. Tumors with sharp borders were more frequently IDH-mutant (p = 0.001) while tumors with indistinct borders were more frequently IDH wild-type and 1p19q non-codeleted (p < 0.001). Larger tumors at diagnosis (possibly linked to a slower growth rate) were more frequently IDH-mutant (p < 0.001). IDH wild-type, 1p19q non-codeleted temporo-insular tumors are distinct from IDH-mutant, 1p19q codeleted frontal tumors. Further studies are needed to determine whether the therapeutic strategy should be adapted to each pattern.
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