ReviewNeuro-oncology2019
Imaging and diagnostic advances for intracranial meningiomas.
Review in Neuro-oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 3 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
91 citing papers in PubMed, 3 syntheses or guidelines pooled it, 185 citations in OpenAlex.
- A systematic review of radiological prediction of ki 67 proliferation index of meningioma.Neurosurgical review · 2024Pooled it
- Joint EANM/EANO/RANO/SNMMI practice guideline/procedure standards for diagnostics and therapy (theranostics) of meningiomas using radiolabeled somatostatin receptor ligands: version 1.0.European journal of nuclear medicine and molecular imaging · 2024Guideline
- Meningioma MRI radiomics and machine learning: systematic review, quality score assessment, and meta-analysis.Neuroradiology · 2021Pooled it
- Beyond the Usual Suspects: Atypical Dural-Based Tumors With Rare Histology and Intracranial Extension.Brain tumor research and treatment · 2026Article
- A Case of Resection of Multiple Dural Cavernous Hemangiomas Mimicking a Convexity Meningioma.Cureus · 2026Article
- Somatostatin receptor PET in meningioma: diagnosis, therapy, and surveillance.Nuclear medicine communications · 2026Review
- Atypical Teratoid/Rhabdoid Tumor of the Lateral Ventricle: A Case Series and Experience with Molecular Subtyping-Guided Immunotherapy.Neurology international · 2026Article
- Hybrid 2D/3D CNN and radiomics model for brain tumor classification using EfficientNetb0 and ResNet-18.BMC medical imaging · 2026Article
- A single MRI scan contains sufficient imaging information for accurate prediction of meningioma growth risk.NeuroImage. Clinical · 2026Article
- Primary Intraosseous Meningioma of the Sphenoid-Temporal Bone with Single-Stage, 3D-Planned Cranioplasty: Case Report.Journal of neurological surgery reports · 2026Article
- Diagnostic imaging and emerging image-guided neurointervention in brain tumors: a narrative review.Frontiers in radiology · 2026Review
- Review
- Article
- MRI Reflects Meningioma Biology and Molecular Risk.Cancers · 2025Article
- SUV-max ofJournal of neuro-oncology · 2025Article
- Preoperative prediction of brain invasion in meningiomas: a comparison of diffusion kurtosis imaging and diffusion tensor imaging.BMC neurology · 2025Article
- Stereotactic Radiosurgery for Recurrent Meningioma: A Systematic Review of Risk Factors and Management Approaches.Cancers · 2025Review
- Establishment and evaluation of an automatic multi?sequence MRI segmentation model of primary central nervous system lymphoma based on the nnU?Net deep learning network method.Oncology letters · 2025Article
- Predicting intraoperative meningioma consistency using features from standard MRI sequences: a preoperative evaluation.Acta neurochirurgica · 2025Article
- Trends in Malignant and Benign Brain Tumor Incidence and Mobile Phone Use in the U.S. (2000-2021): A SEER-Based Study.International journal of environmental research and public health · 2025Article
31 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
14 authors at 9 institutions in 3 countries.
Funding
Abstract
The archetypal imaging characteristics of meningiomas are among the most stereotypic of all central nervous system (CNS) tumors. In the era of plain film and ventriculography, imaging was only performed if a mass was suspected, and their results were more suggestive than definitive. Following more than a century of technological development, we can now rely on imaging to non-invasively diagnose meningioma with great confidence and precisely delineate the locations of these tumors relative to their surrounding structures to inform treatment planning. Asymptomatic meningiomas may be identified and their growth monitored over time; moreover, imaging routinely serves as an essential tool to survey tumor burden at various stages during the course of treatment, thereby providing guidance on their effectiveness or the need for further intervention. Modern radiological techniques are expanding the power of imaging from tumor detection and monitoring to include extraction of biologic information from advanced analysis of radiological parameters. These contemporary approaches have led to promising attempts to predict tumor grade and, in turn, contribute prognostic data. In this supplement article, we review important current and future aspects of imaging in the diagnosis and management of meningioma, including conventional and advanced imaging techniques using CT, MRI, and nuclear medicine.
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.