Meningioma: a review of epidemiology, pathology, diagnosis, treatment, and future directions

C Ogasawara, BD Philbrick, DC Adamson - Biomedicines, 2021 - mdpi.com
Meningiomas are the most common intracranial tumor, making up more than a third of all
primary central nervous system (CNS) tumors. They are mostly benign tumors that can be …

Meningioma MRI radiomics and machine learning: systematic review, quality score assessment, and meta-analysis

L Ugga, T Perillo, R Cuocolo, A Stanzione, V Romeo… - Neuroradiology, 2021 - Springer
Purpose To systematically review and evaluate the methodological quality of studies using
radiomics for diagnostic and predictive purposes in patients with intracranial meningioma …

Detection of diagnostic and prognostic methylation-based signatures in liquid biopsy specimens from patients with meningiomas

GA Herrgott, JM Snyder, R She, TM Malta… - Nature …, 2023 - nature.com
Recurrence of meningiomas is unpredictable by current invasive methods based on
surgically removed specimens. Identification of patients likely to recur using noninvasive …

Loss of H3K27me3 in meningiomas

F Nassiri, JZ Wang, O Singh, S Karimi… - Neuro …, 2021 - academic.oup.com
Background There is a critical need for objective and reliable biomarkers of outcome in
meningiomas beyond WHO classification. Loss of H3K27me3 has been reported as a …

Joint EANM/EANO/RANO/SNMMI practice guideline/procedure standards for diagnostics and therapy (theranostics) of meningiomas using radiolabeled somatostatin …

NL Albert, M Preusser, T Traub-Weidinger… - European Journal of …, 2024 - Springer
Purpose To provide practice guideline/procedure standards for diagnostics and therapy
(theranostics) of meningiomas using radiolabeled somatostatin receptor (SSTR) ligands …

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 …

Clinical significance of somatostatin receptor (SSTR) 2 in meningioma

W Wu, Y Zhou, Y Wang, L Liu, J Lou, Y Deng… - Frontiers in …, 2020 - frontiersin.org
Somatostatin receptor (SSTR) 2, widely expressed in meningioma, is a G-protein-coupled
receptor and can be activated by somatostatin or its synthetic analogs. SSTR2 is therefore …

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 …

A deep learning radiomics model may help to improve the prediction performance of preoperative grading in meningioma

L Yang, P Xu, Y Zhang, N Cui, M Wang, M Peng, C Gao… - Neuroradiology, 2022 - Springer
Purpose This study aimed to investigate the clinical usefulness of the enhanced-T1WI-based
deep learning radiomics model (DLRM) in differentiating low-and high-grade meningiomas …

Brain tumor segmentation (brats) challenge 2024: Meningioma radiotherapy planning automated segmentation

D LaBella, K Schumacher, M Mix, K Leu… - arXiv preprint arXiv …, 2024 - arxiv.org
The 2024 Brain Tumor Segmentation Meningioma Radiotherapy (BraTS-MEN-RT)
challenge aims to advance automated segmentation algorithms using the largest known …