ArticleTechnology in cancer research & treatment
Comparative Analysis of the MRI Characteristics of Meningiomas According to the 2016 WHO Pathological Classification.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Postoperative outcomes in CNS WHO grade 2 and 3 meningioma: a systematic review and meta-analysis.Langenbeck's archives of surgery · 2026Pooled it
- MRI-based preoperative WHO grade prediction in meningioma: development and comparison of deep learning, radiomics, clinical, and combined models in multicenter data.Journal of neuro-oncology · 2026Article
- Preoperative prediction of meningioma grade based on synthetic MRI quantitative T1 and T2 mapping.Japanese journal of radiology · 2026Article
- Multisequence magnetic resonance imaging habitat analysis for pre-operative meningioma grade prediction.Quantitative imaging in medicine and surgery · 2025Article
- Knowledge discovery from database: MRI radiomic features to assess recurrence risk in high-grade meningiomas.BMC medical imaging · 2025Article
- Peritumoral vessel characteristics on magnetic resonance venography reflect the sinus invasion status of para-sinus meningioma.Quantitative imaging in medicine and surgery · 2024Article
- Intracranial meningiomas at a tertiary hospital: Spectrum of MRI findings with histopathologic correlation.SA journal of radiology · 2024Article
- Domestic Animal Models of Central Nervous System Tumors: Focus on Meningiomas.Life (Basel, Switzerland) · 2023Review
- Hemorrhagic meningioma with pulmonary metastasis: Case report and literature review.Open life sciences · 2023Review
- Somatostatin Receptor Targeted PET-Imaging for Diagnosis, Radiotherapy Planning and Theranostics of Meningiomas: A Systematic Review of the Literature.Diagnostics (Basel, Switzerland) · 2022Review
- Preoperative Prediction of Intracranial Meningioma Grade Using Conventional CT and MRI.Cureus · 2022Article
- Differentiation of Meningiomas and Gliomas by Amide Proton Transfer Imaging: A Preliminary Study of Brain Tumour Infiltration.Frontiers in oncology · 2022Article
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9 authors.
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Abstract
objectsTo evaluate the performance of preoperative magnetic resonance imaging (MRI) in evaluating diagnoses, operation methods and recurrence of meningiomas according to the World health organization (WHO) pathological classification.
methodsMRI characteristics of 127 meningioma patients were retrospectively analysed according to pathological results (WHO grade) and their association with Simpson's grades (resection) and recurrence.
resultsThe T1-weighted imaging (T1WI) signal intensity of WHO grade I meningiomas was slightly hypointense or isointense gray, while the T2-weighted imaging (T2WI) signal intensity was isointense or slightly hyperintense. The T1WI and T2WI signal intensity in WHO grade II and III meningiomas was isointense gray. The enhancement degree and patterns, lobulation, flowing voids, dural tail, maximum diameter, peritumoural oedema, ADC values and margin were significantly different between any 2 grades (P < 0.05). The ADC values were higher for WHO grade I tumors than for WHO grade II and III tumors (P < 0.001). Among all the analyzed characteriscs, ADC values, peritumoural oedema, and margin effectively predicted the diagnosis according to the WHO classification. The operation method and surgical resection were different between WHO grade Ⅰ and WHO grade Ⅱ/Ⅲ meningiomas (P < 0.05). The recurrence rate increased with tumor grade, but there was no statistical difference among the 3 types(P> 0.05).
conclusionsWHO grades and pathological subtypes of meningiomas can generally be determined based on their MRI characteristics. In addition, MRI provides significant guidance for the grading of surgical success and prognosis.
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