ReviewNeuro-oncology2011
Molecular imaging of gliomas with PET: opportunities and limitations.
Review in Neuro-oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04407039 (Establishment and Evaluation of Multimodal Image Recognition System of Glioma Based on Deep Learning), which is not on this map. Cited by 121 papers, 7 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.
Establishment and Evaluation of Multimodal Image Recognition System of Glioma Based on Deep Learning
Who cites it
121 citing papers in PubMed, 7 syntheses or guidelines pooled it, 275 citations in OpenAlex.
- Metabolic Imaging as Future Technology and Innovation in Brain-Tumour Surgery: A Systematic Review.Current oncology (Toronto, Ont.) · 2025Pooled it
- Comparing [18F]FET PET and [18F]FDOPA PET for glioma recurrence diagnosis: a systematic review and meta-analysis.Frontiers in oncology · 2023Pooled it
- Diagnostic Accuracy of PET for Differentiating True Glioma Progression From Post Treatment-Related Changes: A Systematic Review and Meta-Analysis.Frontiers in neurology · 2021Pooled it
- Diagnostic and grading accuracy ofBMC cancer · 2019Pooled it
- Diagnostic Accuracy of Neuroimaging to Delineate Diffuse Gliomas within the Brain: A Meta-Analysis.AJNR. American journal of neuroradiology · 2017Pooled it
- Performance of 18F-FET versus 18F-FDG-PET for the diagnosis and grading of brain tumors: systematic review and meta-analysis.Neuro-oncology · 2016Pooled it
- Diagnostic accuracy of PET for recurrent glioma diagnosis: a meta-analysis.AJNR. American journal of neuroradiology · 2013Pooled it
- Trial
- Evaluation of dynamic contrast-enhanced T1-weighted perfusion MRI in the differentiation of tumor recurrence from radiation necrosis.Neuroradiology · 2013Trial
- Head-to-head comparison of ⁶⁸Ga-FAPI and ¹⁸F-FDG PET/CT in intracranial space-occupying lesions.Annals of nuclear medicine · 2026Article
- Article
- From pixels to prognosis: leveraging radiomics and machine learning to predict IDH1 genotype in gliomas.Neurosurgical review · 2025Article
- Tumor-derived extracellular vesicles disrupt the blood-brain barrier endothelium following high-frequency irreversible electroporation.Scientific reports · 2024Article
- A prospective clinical study of the influence of oral protein intake on [EJNMMI research · 2024Article
- The Traumatic Inoculation Process Affects TSPO Radioligand Uptake in Experimental Orthotopic Glioblastoma.Biomedicines · 2024Article
- Diagnostic accuracy of anti-3-[European journal of nuclear medicine and molecular imaging · 2024Article
- Diagnostic accuracy of glioma pseudoprogression identification with positron emission tomography imaging: a systematic review and meta-analysis.Quantitative imaging in medicine and surgery · 2023Article
- Article
- Cerebral Glutamate Alterations Using Chemical Exchange Saturation Transfer Imaging in a Rat Model of Lipopolysaccharide-Induced Sepsis.Metabolites · 2023Article
- Can Radiomics Provide Additional Information in [Cancers · 2022Article
61 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neuroimaging enables the noninvasive evaluation of glioma and is considered to be one of the key factors for individualized therapy and patient management, since accurate diagnosis and demarcation of viable tumor tissue is required for treatment planning as well as assessment of treatment response. Conventional imaging techniques like MRI and CT reveal morphological information but are of limited value for the assessment of more specific and reproducible information about biology and activity of the tumor. Molecular imaging with PET is increasingly implemented in neuro-oncology, since it provides additional metabolic information of the tumor, both for patient management as well as for evaluation of newly developed therapeutics. Different molecular processes have been proposed to be useful, like glucose consumption, expression of amino acid transporters, proliferation rate, membrane biosynthesis, and hypoxia. Thus, PET might help neuro-oncologists gain further insights into tumor biology by "true molecular imaging" as well as understand treatment-related phenomena. This review describes the method of PET acquisition as well as the tracers used to image biological processes in gliomas. Furthermore, it considers the clinical impact of PET on the use of currently available radiotracers, which were shown to be potentially valuable for discrimination between neoplastic and nonneoplastic tissue, as well as on tumor grading, determinination of treatment response, and providing an outlook toward further developments.
Indexed as
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What 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.