Meningioma related epilepsy-pathophysiology, pre/postoperative seizures predicators and treatment

R Elbadry Ahmed, H Tang, A Asemota, L Huang… - Frontiers in …, 2022 - frontiersin.org
Meningiomas are the most common primary brain tumors accounting for about 30% of all
brain tumors. The vast majority of meningiomas are slow-growing and of benign …

Prediction of high-grade histology and recurrence in meningiomas using routine preoperative magnetic resonance imaging: a systematic review

DC Spille, PB Sporns, K Hess, W Stummer… - World neurosurgery, 2019 - Elsevier
Objective Estimating the risk of recurrence after surgery remains crucial during care of
patients with meningioma. Numerous studies identified correlations of characteristics on …

A radiomics model for preoperative prediction of brain invasion in meningioma non-invasively based on MRI: A multicentre study

J Zhang, K Yao, P Liu, Z Liu, T Han, Z Zhao, Y Cao… - …, 2020 - thelancet.com
Background Prediction of brain invasion pre-operatively rather than postoperatively would
contribute to the selection of surgical techniques, predicting meningioma grading and …

Extensive peritumoral edema and brain-to-tumor interface MRI features enable prediction of brain invasion in meningioma: Development and validation

L Joo, JE Park, SY Park, SJ Nam, YH Kim… - Neuro …, 2021 - academic.oup.com
Background Brain invasion by meningioma is a stand-alone criterion for tumor atypia in the
2016 World Health Organization classification, but no imaging parameter has yet been …

A clinical semantic and radiomics nomogram for predicting brain invasion in WHO grade II meningioma based on tumor and tumor-to-brain interface features

N Li, Y Mo, C Huang, K Han, M He, X Wang… - Frontiers in …, 2021 - frontiersin.org
Background Brain invasion in meningioma has independent associations with increased
risks of tumor progression, lesion recurrence, and poor prognosis. Therefore, this study …

Multi-parametric MRI-based machine learning model for prediction of WHO grading in patients with meningiomas

Z Zhao, C Nie, L Zhao, D Xiao, J Zheng, H Zhang… - European …, 2024 - Springer
Objective The purpose of this study was to develop and validate a nomogram combined
multiparametric MRI and clinical indicators for identifying the WHO grade of meningioma …

[HTML][HTML] Prediction of brain invasion in patients with meningiomas using preoperative magnetic resonance imaging

A Adeli, K Hess, C Mawrin, EMS Streckert… - Oncotarget, 2018 - ncbi.nlm.nih.gov
Brain invasion (BI) in meningiomas impacts WHO grading and therefore adjuvant treatment.
However, BI is rare and neurosurgical sampling and neuropathological analyses are not …

Risk of tumor recurrence in intracranial meningiomas: comparative analyses of the predictive value of the postoperative tumor volume and the Simpson classification

DC Spille, K Hess, E Bormann, C Sauerland… - Journal of …, 2020 - thejns.org
OBJECTIVE In meningiomas, the Simpson grading system is applied to estimate the risk of
postoperative recurrence, but might suffer from bias and limited overview of the resection …

The clinical and genomic features of seizures in meningiomas

A Dincer, MI Jalal, TP Gupte, S Vetsa… - Neuro-Oncology …, 2023 - academic.oup.com
Meningiomas are the most common central nervous system tumors. Although these tumors
are extra-axial, a relatively high proportion (10%–50%) of meningioma patients have …

Diagnosis of invasive meningioma based on brain-tumor interface radiomics features on brain MR images: a multicenter study

D Xiao, Z Zhao, J Liu, X Wang, P Fu… - Frontiers in …, 2021 - frontiersin.org
Background Meningioma invasion can be preoperatively recognized by radiomics features,
which significantly contributes to treatment decision-making. Here, we aimed to evaluate the …