ArticleClinical and translational radiation oncology2022
Time- and dose-dependent volume decreases in subcortical grey matter structures of glioma patients after radio(chemo)therapy.
Article in Clinical and translational radiation oncology, 2022. 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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Who cites it
9 citing papers in PubMed, 9 citations in OpenAlex.
- Comparative analysis of outcome, recurrence patterns, and dosimetry in glioblastoma patients treated according to RTOG versus EORTC contouring guidelines.Neuro-oncology practice · 2026Article
- Neurocognitive functioning, seizure control, and return to work after awake surgery with or without adjuvant therapy in IDH-mutant grade 3 diffuse gliomas.Journal of neuro-oncology · 2026Article
- Investigation of the effects of radiotherapy and chemotherapy on brain volume in cancer patients: brain tumor study.Journal of neuro-oncology · 2026Article
- Gray Matter Volumetry and Cognitive Functioning in Pediatric Posterior Fossa Tumor Survivors.Cancers · 2026Article
- Observational
- Impact of clinical target volume margin reduction in glioblastoma patients treated with concurrent chemoradiation.Neuro-oncology practice · 2024Article
- Brain tumor-related epilepsy: an overview on neuropsychological, behavioral, and quality of life issues and assessment methodology.Frontiers in neurology · 2024Review
- Brain Plasticity Profiling as a Key Support to Therapeutic Decision-Making in Low-Grade Glioma Oncological Strategies.Cancers · 2023Review
- Precise Control of Glioma Cell Apoptosis Induced by Micro-Plasma-Activated Water (μ-PAW).Micromachines · 2022Article
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Authors and funding
13 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and purpose: Radiotherapy (RT) is an adjuvant treatment option for glioma patients. Side effects include tissue atrophy, which might be a contributing factor to neurocognitive decline after treatment. The goal of this study was to determine potential atrophy of the hippocampus, amygdala, thalamus, putamen, pallidum and caudate nucleus in glioma patients having undergone magnetic resonance imaging (MRI) before and after RT. Materials and methods: Subcortical volumes were measured using T1-weighted MRI from patients before RT (N = 91) and from longitudinal follow-ups acquired in three-monthly intervals (N = 349). The volumes were normalized to the baseline values, while excluding structures touching the clinical target volume (CTV) or abnormal tissue seen on FLAIR imaging. A multivariate linear effects model was used to determine if time after RT and mean RT dose delivered to the corresponding structures were significant predictors of tissue atrophy. Results: The hippocampus, amygdala, thalamus, putamen, and pallidum showed significant atrophy after RT as function of both time after RT and mean RT dose delivered to the corresponding structure. Only the caudate showed no dose or time dependant atrophy. Conversely, the hippocampus was the structure with the highest atrophy rate of 5.2 % after one year and assuming a mean dose of 30 Gy. Conclusion: The hippocampus showed the highest atrophy rates followed by the thalamus and the amygdala. The subcortical structures here found to decrease in volume indicative of radiosensitivity should be the focus of future studies investigating the relationship between neurocognitive decline and RT.
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