ArticleOncotarget2018
Prediction of brain invasion in patients with meningiomas using preoperative magnetic resonance imaging.
Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Can brain-to-tumour outer interface radiomics improve the efficiency of MRI in predicting the brain invasion of meningiomas?Cancer imaging : the official publication of the International Cancer Imaging Society · 2026Article
- Meningioma: Molecular Updates from the 2021 World Health Organization Classification of CNS Tumors and Imaging Correlates.AJNR. American journal of neuroradiology · 2025Review
- New imaging findings of tumor invasion into brain tissue: "Peritumoral Hyperintense Enhancement Sign".Frontiers in human neuroscience · 2025Article
- Multiparameter MRI-based radiomics nomogram for preoperative prediction of brain invasion in atypical meningioma:a multicentre study.BMC medical imaging · 2024Article
- A magnetic resonance imaging based radiomics model to predict mitosis cycles in intracranial meningioma.Scientific reports · 2023Article
- Meningiomas with CNS invasion.Frontiers in neuroscience · 2023Review
- Differences in intraoperative sampling during meningioma surgery regarding CNS invasion - Results of a survey on behalf of the EANS skull base section.Brain & spine · 2023Article
- Nomogram based on MRI can preoperatively predict brain invasion in meningioma.Neurosurgical review · 2022Article
- Matched case-control analysis of outcomes following surgical resection of incidental meningioma.Journal of neuro-oncology · 2022Article
- Updated Systematic Review on the Role of Brain Invasion in Intracranial Meningiomas: What, When, Why?Cancers · 2022Review
- An interpretable radiomics model to select patients for radiotherapy after surgery for WHO grade 2 meningiomas.Radiation oncology (London, England) · 2022Article
- Clinical and pathological impact of an optimal assessment of brain invasion for grade 2 meningioma diagnosis: lessons from a series of 291 cases.Neurosurgical review · 2022Article
- A Magnetic Resonance Imaging-Based Radiomic Model for the Noninvasive Preoperative Differentiation Between Transitional and Atypical Meningiomas.Frontiers in oncology · 2022Article
- The efficacy of preoperative MRI features in the diagnosis of meningioma WHO grade and brain invasion.Frontiers in oncology · 2022Article
- Asynchrony in Peritumoral Resting-State Blood Oxygen Level-Dependent fMRI Predicts Meningioma Grade and Invasion.AJNR. American journal of neuroradiology · 2021Article
- Review
- The Simpson grading: defining the optimal threshold for gross total resection in meningioma surgery.Neurosurgical review · 2021Article
- Predicting the risk of postoperative recurrence and high-grade histology in patients with intracranial meningiomas using routine preoperative MRI.Neurosurgical review · 2021Article
- Extensive peritumoral edema and brain-to-tumor interface MRI features enable prediction of brain invasion in meningioma: development and validation.Neuro-oncology · 2021Article
- MRI predictors for brain invasion in meningiomas.The neuroradiology journal · 2021Article
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain invasion (BI) in meningiomas impacts WHO grading and therefore adjuvant treatment. However, BI is rare and neurosurgical sampling and neuropathological analyses are not standardised. Moreover, associations with imaging findings are sparsely known. Associations between BI and findings on preoperative MRI were investigated in 617 meningioma patients. BI was strongly correlated with other high-grade criteria (p<.001). Presence of a contrast enhancing tumour capsule, disruption of the arachnoid layer, intratumoural calcifications and T2-intensity were not related to high-grade histology or BI (p>.05, each). High-grade histology (p=.033) but not BI (p=.354) was associated with tumour location. Irregular tumour shape (OR: 3.33, 95%CI 1.33-8.30; p=.007), heterogeneous contrast enhancement (OR: 2.82, 95%CI 1.19-6.70; p=.015) and peritumoural edema (OR: 1.005 per ccm, 95%CI 1.001-1.008); p=.011) were associated with BI. Multivariable analyses identified only increasing edema volume (OR: 1.005 per ccm, 95%CI 1.002-1.009; p=.010) as a predictor for BI, independent of other histopathological high-grade criteria. We finally provide a new model to estimate the risk of BI using routine preoperative MRI. Several imaging characteristics were identified as predictors for BI. Consideration in clinical routine can increase the accuracy of the detection in neuropathological analyses.
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