EANO guidelines for the diagnosis and treatment of meningiomas.
By R. Goldbrunner, G. Minniti, M. Preusser, M. Jenkinson, K. Sallabanda, E. Houdart, A. von Deimling, P. Stavrinou, F. Lefranc, M. Lund-Johansen and 5 more. The Lancet Oncology, 2016
718 citations recorded by the source corpus.
Although meningiomas are the most common intracranial tumours, the level of evidence to provide recommendations for the diagnosis and treatment of meningiomas is low compared with other tumours such as high-grade gliomas. The meningioma task force of the European Association of Neuro-Oncology (EANO) assessed the scientific literature and composed a framework of the best possible evidence-based recommendations for health professionals. The provisional diagnosis of meningioma is mainly made by MRI. Definitive diagnosis, including histological classification, grading, and molecular profiling, requires a surgical procedure to obtain tumour tissue. Therefore, in many elderly patients, observation is the best therapeutic option. If therapy is deemed necessary, the standard treatment is gross total surgical resection including the involved dura. As an alternative, radiosurgery can be done for small tumours, or fractionated radiotherapy in large or previously treated tumours. Treatment concepts combining surgery and radiosurgery or fractionated radiotherapy, which enable treatment of the complete tumour volume with low morbidity, are being developed. Pharmacotherapy for meningiomas has remained largely experimental. However, antiangiogenic drugs, peptide receptor radionuclide therapy, and targeted agents are promising candidates for future pharmacological approaches to treat refractory meningiomas across all WHO grades.
Subfields: Endocrinology, Diabetes and Metabolism, Epidemiology, Genetics
View Paper: https://www.semanticscholar.org/paper/a59b55485a00d5f869f9bcaac796b30c1fae9a6c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Epidemiology
In Genetics
Citations in the corpus
- Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI (2018, methodology): “…delineation challenging; (3) FLAIR signal intensities differ strongly and meningiomas can even present isointense to normal brain tissue; (4) meningiomas and surrounding tissue also present heterogenous when oedema and necrosis are present next to contrast-enhancing tumour [5, 7, 20, 43, 44].”