SynthesisJournal of neuro-oncology2018
Neuroimaging classification of progression patterns in glioblastoma: a systematic review.
Synthesis in Journal of neuro-oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis 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
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Spatial patterns of progression in reported glioblastoma cohorts after upfront chemoradiation and salvage therapy: a systematic review and meta-analysis.Journal of neuro-oncology · 2026Pooled it
- Review
- Distal noncontiguous recurrence and sarcomatous transformation of glioblastoma with stable molecular profile: illustrative case.Journal of neurosurgery. Case lessons · 2026Article
- Site of first treatment failure after standard-of-care for newly diagnosed glioblastoma in a Danish cohort.Neuro-oncology practice · 2025Article
- Longitudinal analysis of radiologic progression patterns in glioblastoma: investigating prognosis using a multi-state model.Journal of neuro-oncology · 2025Article
- Magnetic resonance imaging in glioblastoma radiotherapy - beyond treatment adaptation.Physics and imaging in radiation oncology · 2025Article
- Effect of Intraoperative Ventricular Opening on Recurrence Patterns Following Bis-Chloroethyl-Nitrosourea Wafer Implantation for Newly Diagnosed Glioblastoma.Journal of Korean Neurosurgical Society · 2025Article
- Article
- Leptomeningeal spread in high-grade gliomas: Is surgery or adjuvant therapy after leptomeningeal spread associated with survival benefit?Neurosurgical review · 2023Article
- Re-irradiation with stereotactic radiotherapy for recurrent high-grade glial tumors.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2023Article
- Ventricular entry during surgical resection is associated with intracranial leptomeningeal dissemination in glioblastoma patients.Journal of neuro-oncology · 2022Article
- A Neural Network Approach to Identify Glioblastoma Progression Phenotype from Multimodal MRI.Cancers · 2021Article
- Review
- Classification of Progression Patterns in Glioblastoma: Analysis of Predictive Factors and Clinical Implications.Frontiers in oncology · 2020Article
- Baseline multicentric tumors, distant recurrences and leptomeningeal dissemination predict poor survival in patients with recurrent glioblastomas receiving bevacizumab.Journal of neuro-oncology · 2019Article
- Current and Future Imaging Methods for Evaluating Response to Immunotherapy in Neuro-Oncology.Theranostics · 2019Review
- Identifying targetable alterations predictive of distant progression in glioblastoma patients undergoing standard therapy.Neuro-oncology advancesArticle
- Integrin targeted photodynamic therapy in patient-derived glioblastoma spheroids.Photochemistry and photobiologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundOur primary objective was to report the current neuroimaging classification systems of spatial patterns of progression in glioblastoma. In addition, we aimed to report the terminology used to describe 'progression' and to assess the compliance with the Response Assessment in Neuro-Oncology (RANO) Criteria.
methodsWe conducted a systematic review to identify all neuroimaging studies of glioblastoma that have employed a categorical classification system of spatial progression patterns. Our review was registered with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) registry.
resultsFrom the included 157 results, we identified 129 studies that used labels of spatial progression patterns that were not based on radiation volumes (Group 1) and 50 studies that used labels that were based on radiation volumes (Group 2). In Group 1, we found 113 individual labels and the most frequent were: local/localised (58%), distant/distal (51%), diffuse (20%), multifocal (15%) and subependymal/subventricular zone (15%). We identified 13 different labels used to refer to 'progression', of which the most frequent were 'recurrence' (99%) and 'progression' (92%). We identified that 37% (n = 33/90) of the studies published following the release of the RANO classification were adherent compliant with the RANO criteria.
conclusionsOur review reports significant heterogeneity in the published systems used to classify glioblastoma spatial progression patterns. Standardization of terminology and classification systems used in studying progression would increase the efficiency of our research in our attempts to more successfully treat glioblastoma.
Indexed as
Identifiers
29603080What 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.