ReviewDiagnostics (Basel, Switzerland)2022
MR Imaging of Pediatric Brain Tumors.
Review in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
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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
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The utilisation of fMRI for pre-operative mapping in the paediatric population with central nervous system tumours: a systematic review.Neuroradiology · 2025Pooled it
- Conventional MRI-Based Semantic Features for Differentiation of Pediatric Medulloblastoma and Ependymoma in the Fourth Ventricle: Insights From a Multi-Center Retrospective Study.CNS neuroscience & therapeutics · 2026Article
- What Can Neurosurgical Pediatric Populations Do in Functional Magnetic Resonance Imaging? Brain Activity Mapping Before Intervention Tasks, a Retrospective Study.Brain sciences · 2026Article
- Contrast-enhanced TScientific reports · 2026Article
- Article
- Improving final diagnosis in paediatric posterior fossa tumours: Correlation and discrepancy between radiologic diagnosis, intraoperative surgeon's diagnosis, and histopathology.Pakistan journal of medical sciences · 2025Article
- Paediatric cranial ultrasound: abnormalities of the brain in term neonates and young infants.Insights into imaging · 2025Article
- Approaches to supratentorial brain tumours in children.Neuroradiology · 2024Review
- nnU-Net-based Segmentation of Tumor Subcompartments in Pediatric Medulloblastoma Using Multiparametric MRI: A Multi-institutional Study.Radiology. Artificial intelligence · 2024Article
- Radiomics and artificial intelligence applications in pediatric brain tumors.World journal of pediatrics : WJP · 2024Review
- Predictors of postoperative complications and functional outcomes in pediatric patients with surgically treated fourth ventricle tumors.Acta neurochirurgica · 2023Article
- Predicting the WHO Grading of Pediatric Brain Tumors Based on Their MRI Appearance: A Retrospective Study.Cureus · 2023Article
- [Pediatric posterior fossa tumors].Radiologie (Heidelberg, Germany) · 2023Review
- Vasari Scoring System in Discerning between Different Degrees of Glioma and IDH Status Prediction: A Possible Machine Learning Application?Journal of imaging · 2023Article
- Uncertainty-Aware Deep Learning Classification of Adamantinomatous Craniopharyngioma from Preoperative MRI.Diagnostics (Basel, Switzerland) · 2023Article
- Intracranial Tumors in the First Year of Life.Advances and technical standards in neurosurgery · 2023Article
- Advances in the Treatment of Pediatric Brain Tumors.Children (Basel, Switzerland) · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Primary brain tumors are the most common solid neoplasms in children and a leading cause of mortality in this population. MRI plays a central role in the diagnosis, characterization, treatment planning, and disease surveillance of intracranial tumors. The purpose of this review is to provide an overview of imaging methodology, including conventional and advanced MRI techniques, and illustrate the MRI appearances of common pediatric brain tumors.
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.