ArticleJournal of neuro-oncology2016
The diagnostic accuracy of multiparametric MRI to determine pediatric brain tumor grades and types.
Article in Journal of neuro-oncology, 2016. 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.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Magnetic resonance perfusion for differentiating low-grade from high-grade gliomas at first presentation.The Cochrane database of systematic reviews · 2018Pooled it
- Applications of machine learning to MR imaging of pediatric low-grade gliomas.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2024Review
- A Combination of Amide Proton Transfer, Tumor Blood Flow, and Apparent Diffusion Coefficient Histogram Analysis Is Useful for Differentiating Malignant from Benign Intracranial Tumors in Young Patients: A Preliminary Study.Diagnostics (Basel, Switzerland) · 2024Article
- Article
- Deep Learning Classifies Low- and High-Grade Glioma Patients with High Accuracy, Sensitivity, and Specificity Based on Their Brain White Matter Networks Derived from Diffusion Tensor Imaging.Diagnostics (Basel, Switzerland) · 2022Article
- The role of artificial intelligence in paediatric neuroradiology.Pediatric radiology · 2022Review
- Dynamic susceptibility-contrast magnetic resonance imaging with contrast agent leakage correction aids in predicting grade in pediatric brain tumours: a multicenter study.Pediatric radiology · 2022Article
- Differentiation of paediatric posterior fossa tumours by the multiregional and multiparametric MRI radiomics approach: a study on the selection of optimal multiple sequences and multiregions.The British journal of radiology · 2022Article
- Perfusion-weighted techniques in MRI grading of pediatric cerebral tumors: efficiency of dynamic susceptibility contrast and arterial spin labeling.Neuroradiology · 2021Article
- Radiohistogenomics of pediatric low-grade neuroepithelial tumors.Neuroradiology · 2021Review
- Posterior fossa extra-axial variations of medulloblastoma: a pictorial review as a primer for radiologists.Insights into imaging · 2021Review
- The impact of magnetic resonance imaging spectroscopy parameters on differentiating between paediatric medulloblastoma and ependymoma.Contemporary oncology (Poznan, Poland) · 2021Article
- Brain DSC MR Perfusion in Children: A Clinical Feasibility Study Using Different Technical Standards of Contrast Administration.AJNR. American journal of neuroradiology · 2019Article
- Perfusion, Diffusion, Or Brain Tumor Barrier Integrity: Which Represents The Glioma Features Best?Cancer management and research · 2019Article
- Multiparametric Analysis of Permeability and ADC Histogram Metrics for Classification of Pediatric Brain Tumors by Tumor Grade.AJNR. American journal of neuroradiology · 2018Article
- Automated Processing of Dynamic Contrast-Enhanced MRI: Correlation of Advanced Pharmacokinetic Metrics with Tumor Grade in Pediatric Brain Tumors.AJNR. American journal of neuroradiology · 2017Article
- The Diagnostic Value of Apparent Diffusion Coefficient and Proton Magnetic Resonance Spectroscopy in the Grading of Pediatric Gliomas.Journal of computer assisted tomographyArticle
- MRI feature analysis of uncommon prostatic malignant tumors.Asian journal of andrologyArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
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Abstract
Childhood brain tumors show great histological variability. The goal of this retrospective study was to assess the diagnostic accuracy of multimodal MR imaging (diffusion, perfusion, MR spectroscopy) in the distinction of pediatric brain tumor grades and types. Seventy-six patients (range 1 month to 18 years) with brain tumors underwent multimodal MR imaging. Tumors were categorized by grade (I-IV) and by histological type (A-H). Multivariate statistical analysis was performed to evaluate the diagnostic accuracy of single and combined MR modalities, and of single imaging parameters to distinguish the different groups. The highest diagnostic accuracy for tumor grading was obtained with diffusion-perfusion (73.24%) and for tumor typing with diffusion-perfusion-MR spectroscopy (55.76%). The best diagnostic accuracy was obtained for tumor grading in I and IV and for tumor typing in embryonal tumor and pilocytic astrocytoma. Poor accuracy was seen in other grades and types. ADC and rADC were the best parameters for tumor grading and typing followed by choline level with an intermediate echo time, CBV for grading and Tmax for typing. Multiparametric MR imaging can be accurate in determining tumor grades (primarily grades I and IV) and types (mainly pilocytic astrocytomas and embryonal tumors) in children.
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