ReviewJournal of neuro-oncology2009
Glioma recurrence versus radiation necrosis: accuracy of current imaging modalities.
Review in Journal of neuro-oncology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 5 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
50 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Umbrella review and network meta-analysis of diagnostic imaging test accuracy studies in Differentiating between brain tumor progression versus pseudoprogression and radionecrosis.Journal of neuro-oncology · 2024Pooled it
- Machine learning imaging applications in the differentiation of true tumour progression from treatment-related effects in brain tumours: A systematic review and meta-analysis.Journal of medical imaging and radiation oncology · 2022Pooled it
- The role of neuropathology in the management of progressive glioblastoma : a systematic review and evidence-based clinical practice guideline.Journal of neuro-oncology · 2014Guideline
- Diagnostic accuracy of PET for recurrent glioma diagnosis: a meta-analysis.AJNR. American journal of neuroradiology · 2013Pooled it
- Discriminating radiation necrosis from tumor progression in gliomas: a systematic review what is the best imaging modality?Journal of neuro-oncology · 2013Pooled it
- Characterization of intracranial space-occupying lesions by ⁹⁹(m)Tc-Tetrofosmin SPECT.Journal of neuro-oncology · 2011Trial
- Article
- Development and validation of a deep learning algorithm for discriminating glioma recurrence from radiation necrosis on MRI.Frontiers in oncology · 2025Article
- Treatment of cerebral radiation necrosis using hyperbaric oxygen therapy in a child: illustrative case.Journal of neurosurgery. Case lessons · 2024Article
- Brain Tumor Recurrence vs. Radiation Necrosis Classification and Patient Survivability Prediction.IEEE journal of biomedical and health informatics · 2024Article
- Article
- MRI Treatment Response Assessment Maps (TRAMs) for differentiating recurrent glioblastoma from radiation necrosis.Journal of neuro-oncology · 2024Article
- Artificial Intelligence in Brain Tumors.Advances in experimental medicine and biology · 2024Review
- Review
- Effect of Bevacizumab Treatment in Cerebral Radiation Necrosis : Investigation of Response Predictors in a Single-Center Experience.Journal of Korean Neurosurgical Society · 2023Article
- Article
- Analysis of safety and efficacy of proton radiotherapy for IDH-mutated glioma WHO grade 2 and 3.Journal of neuro-oncology · 2023Article
- Review
- Peptide ARHGEF9 Inhibits Glioma Progression via PI3K/AKT/mTOR Pathway.Disease markers · 2023Article
- Brachytherapy for central nervous system tumors.Journal of neuro-oncology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Treatment for brain gliomas is a combined approach of surgery, radiation therapy and chemotherapy. Nevertheless, high-grade gliomas usually recur despite treatment. Ionizing radiation therapy to the central nervous system may cause post-radiation damage. Differentiation between post-irradiation necrosis and recurrent glioma on the basis of clinical signs and symptomatology has not been possible. Computed tomography (CT) and magnetic resonance imaging (MRI) suffer from significant limitations when applied to differentiate recurrent brain tumor from radiation necrosis. We reviewed the contribution of recent MRI techniques, single-photon emission CT and positron emission tomography to discriminate necrosis for glioma recurrence. We concluded that despite the progress being made, further research is needed to establish reliable imaging modalities that distinguish between true tumour progression and treatment-related necrosis.
Indexed as
Identifiers
19381441What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.