ArticleNeurosurgical review2021
Predicting the risk of postoperative recurrence and high-grade histology in patients with intracranial meningiomas using routine preoperative MRI.
Article in Neurosurgical review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- EANO guideline on the diagnosis and management of meningiomas.Neuro-oncology · 2021Guideline
- Impact of postoperative tumor volume and relative volume reduction to predict meningioma recurrence - a retrospective analysis.Journal of neuro-oncology · 2026Article
- Non-invasive Prediction of Meningioma Tumor Grade by Quantification of Shape-based Radiomics Features and Surface Regularity.Clinical neuroradiology · 2026Article
- MRI Reflects Meningioma Biology and Molecular Risk.Cancers · 2025Article
- Incidental detection of anterior clinoid meningioma on [⁶⁸Ga]Ga-DOTATATE PET/CT in a patient with suspected neuroendocrine tumor.Neuroradiology · 2025Article
- Intratumoral and peritumoral radiomics model for the preoperative prediction of cribriform component in invasive lung adenocarcinoma: a multicenter study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025Article
- Risk factors associated with higher WHO grade in meningiomas: a multicentric study of 552 skull base meningiomas.Scientific reports · 2025Article
- Radiographic predictors of peritumoral brain edema in intracranial meningiomas: a review of current controversies and illustrative cases.Chinese neurosurgical journal · 2024Review
- MRI features and tumor-infiltrating CD8 + T cells-based nomogram for predicting meningioma recurrence risk.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- Topographic Patterns of Intracranial Meningioma Recurrences-Systematic Review with Clinical Implication.Cancers · 2024Review
- Deep learning-based automatic segmentation of meningioma from T1-weighted contrast-enhanced MRI for preoperative meningioma differentiation using radiomic features.BMC medical imaging · 2024Article
- Review
- Decision-making tree for surgical treatment in meningioma: a geriatric cohort study.Neurosurgical review · 2023Article
- A deep learning radiomics model may help to improve the prediction performance of preoperative grading in meningioma.Neuroradiology · 2022Article
- Are the clinical manifestations of CT scan and location associated with World Health Organization histopathological grades of meningioma?: A retrospective study.Annals of medicine and surgery (2012) · 2021Article
- A Novel MRI-Based Risk Stratification Algorithm for Predicting Postoperative Recurrence of Meningioma: More Benefits to Patients.Frontiers in oncology · 2021Article
- CNS Invasion in Meningioma-How the Intraoperative Assessment Can Improve the Prognostic Evaluation of Tumor Recurrence.Cancers · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Risk factors for prediction of prognosis in meningiomas derivable from routine preoperative magnetic resonance imaging (pMRI) remain elusive. Correlations of tumor and edema volume, disruption of the arachnoid layer, heterogeneity of contrast enhancement, enhancement of the capsule, T2-intensity, tumor shape, and calcifications on pMRI with tumor recurrence and high-grade (WHO grade II/III) histology were analyzed in 565 patients who underwent surgery for WHO grade I (N = 516, 91%) or II/III (high-grade histology, N = 49, 9%) meningioma between 1991 and 2018. Edema volume (OR, 1.00; p = 0.003), heterogeneous contrast enhancement (OR, 3.10; p < 0.001), and an irregular shape (OR, 2.16; p = 0.015) were associated with high-grade histology. Multivariate analyses confirmed edema volume (OR, 1.00; p = 0.037) and heterogeneous contrast enhancement (OR, 2.51; p = 0.014) as risk factors for high-grade histology. Tumor volume (HR, 1.01; p = 0.045), disruption of the arachnoid layer (HR, 2.50; p = 0.003), heterogeneous contrast enhancement (HR, 2.05; p = 0.007), and an irregular tumor shape (HR, 2.57; p = 0.001) were correlated with recurrence. Multivariate analyses confirmed tumor volume (HR, 1.01; p = 0.032) and disruption of the arachnoid layer (HR, 2.44; p = 0.013) as risk factors for recurrence, independent of histology. Subgroup analyses revealed disruption of the arachnoid layer (HR, 9.41; p < 0.001) as a stronger risk factor for recurrence than high-grade histology (HR, 5.15; p = 0.001). Routine pMRI contains relevant information about the risk of recurrence or high-grade histology of meningioma patients. Loss of integrity of the arachnoid layer on MRI had a higher prognostic value than the WHO grading, and underlying histological or molecular alterations remain to be determined.
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