ReviewRadiographics : a review publication of the Radiological Society of North America, Inc2011
Genetics of glioblastoma: a window into its imaging and histopathologic variability.
Review in Radiographics : a review publication of the Radiological Society of North America, Inc, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.
- Diagnostic Accuracy of Machine Learning-Based Radiomics in Grading Gliomas: Systematic Review and Meta-Analysis.Contrast media & molecular imaging · 2020Pooled it
- Intraoperative shear wave elastography during surgical treatment of intramedullary spinal cord tumors.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- Targeting the Endocannabinoid System Present in the Glioblastoma Tumour Microenvironment as a Potential Anti-Cancer Strategy.International journal of molecular sciences · 2024Review
- Amide proton transfer MRI differentiates between progressive multifocal leukoencephalopathy and malignant brain tumors: a pilot study.BMC medical imaging · 2022Article
- GSK343, an Inhibitor of Enhancer of Zeste Homolog 2, Reduces Glioblastoma Progression through Inflammatory Process Modulation: Focus on Canonical and Non-Canonical NF-κB/IκBα Pathways.International journal of molecular sciences · 2022Article
- Predicting Survival in Patients with Brain Tumors: Current State-of-the-Art of AI Methods Applied to MRI.Diagnostics (Basel, Switzerland) · 2022Review
- Deep learning for prediction of isocitrate dehydrogenase mutation in gliomas: a critical approach, systematic review and meta-analysis of the diagnostic test performance using a Bayesian approach.Quantitative imaging in medicine and surgery · 2022Article
- Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma.Scientific reports · 2022Article
- Review
- Identification of magnetic resonance imaging features for the prediction of molecular profiles of newly diagnosed glioblastoma.Journal of neuro-oncology · 2021Article
- Main genetic differences in high-grade gliomas may present different MR imaging and MR spectroscopy correlates.European radiology · 2021Article
- Imaging signatures of glioblastoma molecular characteristics: A radiogenomics review.Journal of magnetic resonance imaging : JMRI · 2020Review
- Arterial spin labeling perfusion-weighted imaging aids in prediction of molecular biomarkers and survival in glioblastomas.European radiology · 2020Article
- Optimizing Neuro-Oncology Imaging: A Review of Deep Learning Approaches for Glioma Imaging.Cancers · 2019Review
- Clinical and Molecular Characterization of Adult Glioblastomas in Southern Brazil.Journal of neuropathology and experimental neurology · 2019Article
- Review
- Radiogenomics correlation between MR imaging features and major genetic profiles in glioblastoma.European radiology · 2018Article
- Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas.AJNR. American journal of neuroradiology · 2018Article
- Algorithmic three-dimensional analysis of tumor shape in MRI improves prognosis of survival in glioblastoma: a multi-institutional study.Journal of neuro-oncology · 2017Article
- Diagnostic delay and prognosis in primary central nervous system lymphoma compared with glioblastoma multiforme.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
Glioblastoma is a highly malignant brain tumor that relentlessly defies therapy. Efforts over the past decade have begun to tease out the biochemical details that lead to its aggressive behavior and poor prognosis. There is hope that this new understanding will lead to improved treatment strategies for patients with glioblastoma, in the form of targeted, molecularly based therapies that are individualized to specific changes in individual tumors. However, these new therapies have the potential to fundamentally alter the biologic behavior of glioblastoma and, as a result, its imaging appearance. Knowledge about common genetic alterations and the resultant cellular and tissue changes (ie, induced angiogenesis and abnormal cell survival, proliferation, and invasion) in glioblastomas is important as a basis for understanding imaging findings before treatment. It is equally critical that radiologists understand which genetic pathway is targeted by each specific therapeutic agent or class of agents in order to accurately interpret changes in the imaging appearances of treated tumors.
Indexed as
Identifiers
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.