Meningioma
What's New
Last Posted: Nov 10, 2023
- Targeted gene expression profiling predicts meningioma outcomes and radiotherapy responses.
William C Chen et al. Nat Med 2023 11 - Early-onset grade 2-3 diffuse gliomas and schwannomas increase the risk of central nervous system tumors among the patients' relatives.
Eljas Alanen et al. Neuro-oncology advances 2023 5(1) vdad008 - MCNN: a multi-level CNN model for the classification of brain tumors in IoT-healthcare system.
Haq Amin Ul et al. Journal of ambient intelligence and humanized computing 2022 1-12 - Fully Automated MRI Segmentation and Volumetric Measurement of Intracranial Meningioma Using Deep Learning.
Kang Ho et al. Journal of magnetic resonance imaging : JMRI 2022 - Machine Learning for the Detection and Segmentation of Benign Tumors of the Central Nervous System: A Systematic Review.
Windisch Paul et al. Cancers 2022 14(11) - Using machine learning to predict health-related quality of life outcomes in patients with low grade glioma, meningioma, and acoustic neuroma.
Karri Roshan et al. PloS one 2022 17(5) e0267931 - A Spotlight on the Role of Radiomics and Machine-Learning Applications in the Management of Intracranial Meningiomas: A New Perspective in Neuro-Oncology: A Review.
Brunasso Lara et al. Life (Basel, Switzerland) 2022 12(4) - Multi-Classification of Brain Tumors on Magnetic Resonance Images Using an Ensemble of Pre-Trained Convolutional Neural Networks.
Wu Miao et al. Current medical imaging 2022 - Deep learning-based automatic segmentation of meningioma from multiparametric MRI for preoperative meningioma differentiation using radiomic features: a multicentre study.
Chen Haolin et al. European radiology 2022 - Molecular profile to guide personalized medicine in adult patients with primary brain tumors: results from the ProfiLER trial.
Bonneville-Levard Alice et al. Medical oncology (Northwood, London, England) 2021 39(1) 4
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Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
- Page last updated:Apr 25, 2024
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