Assessing preoperative risk of STR in skull meningiomas using MR radiomics and machine learning

Our aim is to predict possible gross total and subtotal resections of skull meningiomas from pre-treatment T1 post contrast MR-images using radiomics and machine learning in a representative patient cohort. We analyse the accuracy of our model predictions depending on the tumor location within the s...

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Detalles Bibliográficos
Autores principales: Musigmann, Manfred, Akkurt, Burak Han, Krähling, Hermann, Brokinkel, Benjamin, Henssen, Dylan J. H. A., Sartoretti, Thomas, Nacul, Nabila Gala, Stummer, Walter, Heindel, Walter, Mannil, Manoj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388514/
https://www.ncbi.nlm.nih.gov/pubmed/35982218
http://dx.doi.org/10.1038/s41598-022-18458-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388514/
https://www.ncbi.nlm.nih.gov/pubmed/35982218
http://dx.doi.org/10.1038/s41598-022-18458-4

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