ArticleMagma (New York, N.Y.)2022
Overestimation of grey matter atrophy in glioblastoma patients following radio(chemo)therapy.
Article in Magma (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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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Who cites it
7 citing papers in PubMed, 6 citations in OpenAlex.
- Gray Matter Volumetry and Cognitive Functioning in Pediatric Posterior Fossa Tumor Survivors.Cancers · 2026Article
- Diffuse glioma perfusion quantification with ASL and DSC: a head-to-head comparison withFrontiers in oncology · 2026Article
- Elucidation of Factors Affecting the Age-Dependent Cancer Occurrence Rates.International journal of molecular sciences · 2024Article
- Longitudinal brain volumetrics in glioma survivors.Journal of neurosurgery · 2024Article
- Volumetric brain assessment of long-term head and neck cancer survivors.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2024Article
- Voxel based morphometry-detected white matter volume loss after multi-modality treatment in high grade glioma patients.PloS one · 2023Article
- Time- and dose-dependent volume decreases in subcortical grey matter structures of glioma patients after radio(chemo)therapy.Clinical and translational radiation oncology · 2022Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveBrain atrophy has the potential to become a biomarker for severity of radiation-induced side-effects. Particularly brain tumour patients can show great MRI signal changes over time caused by e.g. oedema, tumour progress or necrosis. The goal of this study was to investigate if such changes affect the segmentation accuracy of normal appearing brain and thus influence longitudinal volumetric measurements. MATERIALS AND
methodsT1-weighted MR images of 52 glioblastoma patients with unilateral tumours acquired before and three months after the end of radio(chemo)therapy were analysed. GM and WM volumes in the contralateral hemisphere were compared between segmenting the whole brain (full) and the contralateral hemisphere only (cl) with SPM and FSL. Relative GM and WM volumes were compared using paired t tests and correlated with the corresponding mean dose in GM and WM, respectively.
resultsMean GM atrophy was significantly higher for full segmentation compared to cl segmentation when using SPM (mean ± std: ΔV
conclusionsFor accurate normal tissue volume measurements in brain tumour patients using SPM, abnormal tissue needs to be masked prior to segmentation, however, this is not necessary when using FSL.
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