ArticleNeuro-oncology advances
Structural gray matter alterations in glioblastoma and high-grade glioma-A potential biomarker of survival.
Article in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Predicting progression-free survival in glioblastoma with neuroimaging and machine learning.Journal of neuro-oncology · 2026Article
- Postsurgical perilesional functional connectivity predicts neurological outcome in glioma patients.Frontiers in neuroscience · 2026Article
- Advanced Neuroimaging and Emerging Systemic Therapies in Glioblastoma: Current Evidence and Future Directions.Biomedicines · 2025Review
- Cortical thickness deviations as biomarker for subtyping and prognosis in pediatric brainstem tumors.Scientific reports · 2025Article
- Tissue- and Cell-Type-Specific Genetic Regulation of CTBP1 in Breast Cancer: Integrative Analyses with Exploratory Single-Cell and Imaging Data.Breast cancer (Dove Medical Press) · 2025Article
- Structural changes in eloquent cortex secondary to glioma in sensorimotor area.Human brain mapping · 2024Article
- Predicting survival in glioblastoma with multimodal neuroimaging and machine learning.Journal of neuro-oncology · 2023Article
- Poor brain reserve increases mortality risk in glioblastoma.Neuro-oncology advancesArticle
- Mapping glioma's impact on cognition: Insights from macrostructure, microstructure, and beyond.Neuro-oncology advancesArticle
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Background: Patients with glioblastoma (GBM) and high-grade glioma (HGG, World Health Organization [WHO] grade IV glioma) have a poor prognosis. Consequently, there is an unmet clinical need for accessible and noninvasively acquired predictive biomarkers of overall survival in patients. This study evaluated morphological changes in the brain separated from the tumor invasion site (ie, contralateral hemisphere). Specifically, we examined the prognostic value of widespread alterations of cortical thickness (CT) in GBM/HGG patients. Methods: We used FreeSurfer, applied with high-resolution T1-weighted MRI, to examine CT, evaluated prior to standard treatment with surgery and chemoradiation in patients (GBM/HGG, Results: Compared to HC cases, patients had thinner gray matter in the contralesional hemisphere at the time of tumor diagnosis. patients had significant cortical thinning in parietal, temporal, and occipital lobes. Fourteen cortical parcels showed reduced CT, whereas in 5, it was thicker in patients' cases. Notably, CT in the contralesional hemisphere, various lobes, and parcels was predictive of overall survival. A machine learning classification algorithm showed that CT could differentiate short- and long-term survival patients with an accuracy of 83.3%. Conclusions: These findings identify previously unnoticed structural changes in the cortex located in the hemisphere contralateral to the primary tumor mass. Observed changes in CT may have prognostic value, which could influence care and treatment planning for individual patients.
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