ArticleJournal of neuroradiology = Journal de neuroradiologie2020
Grading meningiomas utilizing multiparametric MRI with inclusion of susceptibility weighted imaging and quantitative susceptibility mapping.
Article in Journal of neuroradiology = Journal de neuroradiologie, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 29 citations in OpenAlex.
- Time-dependent Diffusion MRI-based Microstructural Mapping Value for Predicting Meningioma Grade, Subtype, and Proliferative Activity.Radiology. Imaging cancer · 2026Article
- Quantitative MRI in Neuroimaging: A Review of Techniques, Biomarkers, and Emerging Clinical Applications.Brain sciences · 2025Review
- MerlinNature communications · 2024Article
- Susceptibility-Weighted MRI for Predicting NF-2 Mutations and S100 Protein Expression in Meningiomas.Diagnostics (Basel, Switzerland) · 2024Article
- Improved quantification of tumor adhesion in meningiomas using MR elastography-based slip interface imaging.PloS one · 2024Article
- Predicting Histologic Grade of Meningiomas Using a Combined Model of Radiomic and Clinical Imaging Features from Preoperative MRI.Biomedicines · 2023Article
- Predicting the grade of meningiomas by clinical-radiological features: A comparison of precontrast and postcontrast MRI.Frontiers in oncology · 2022Article
- Preoperative Prediction of Intracranial Meningioma Grade Using Conventional CT and MRI.Cureus · 2022Article
- Multi-parametric qualitative and quantitative MRI assessment as predictor of histological grading in previously treated meningiomas.Neuroradiology · 2020Article
- Added value of susceptibility-weighted imaging to diffusion-weighted imaging in the characterization of parotid gland tumors.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2020Article
- Quantitative Susceptibility Mapping and Vessel Wall Imaging as Screening Tools to Detect Microbleed in Sentinel Headache.Journal of clinical medicine · 2020Article
- Differentiating intracranial solitary fibrous tumor/hemangiopericytoma from meningioma using diffusion-weighted imaging and susceptibility-weighted imaging.Neuroradiology · 2020Article
- The Current State of Radiomics for Meningiomas: Promises and Challenges.Frontiers in oncology · 2020Review
Corrections and comments
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Authors and funding
14 authors at 3 institutions in 2 countries.
Funding
Abstract
background and purposeThe ability to predict high-grade meningioma preoperatively is important for clinical surgical planning. The purpose of this study is to evaluate the performance of comprehensive multiparametric MRI, including susceptibility weighted imaging (SWI) and quantitative susceptibility mapping (QSM) in predicting high-grade meningioma both qualitatively and quantitatively.
methodsNinety-two low-grade and 37 higher grade meningiomas in 129 patients were included in this study. Morphological characteristics, quantitative histogram analysis of QSM and ADC images, and tumor size were evaluated to predict high-grade meningioma using univariate and multivariate analyses. Receiver operating characteristic (ROC) analyses were performed on the morphological characteristics. Associations between Ki-67 proliferative index (PI) and quantitative parameters were calculated using Pearson correlation analyses.
resultsFor predicting high-grade meningiomas, the best predictive model in multivariate logistic regression analyses included calcification (β=0.874, P=0.110), peritumoral edema (β=0.554, P=0.042), tumor border (β=0.862, P=0.024), tumor location (β=0.545, P=0.039) for morphological characteristics, and tumor size (β=4×10
conclusionsAlthough SWI and QSM did not improve differentiation between low and high-grade meningiomas, combining morphological characteristics and quantitative metrics can help predict high-grade meningioma.
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Registered trials
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