Machine learning approaches for imaging‐based prognostication of the outcome of surgery for mesial temporal lobe epilepsy

OBJECTIVES: Around 30% of patients undergoing surgical resection for drug‐resistant mesial temporal lobe epilepsy (MTLE) do not obtain seizure freedom. Success of anterior temporal lobe resection (ATLR) critically depends on the careful selection of surgical candidates, aiming at optimizing seizure...

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Detalles Bibliográficos
Autores principales: Sinclair, Benjamin, Cahill, Varduhi, Seah, Jarrel, Kitchen, Andy, Vivash, Lucy E., Chen, Zhibin, Malpas, Charles B., O'Shea, Marie F., Desmond, Patricia M., Hicks, Rodney J., Morokoff, Andrew P., King, James A., Fabinyi, Gavin C., Kaye, Andrew H., Kwan, Patrick, Berkovic, Samuel F., Law, Meng, O'Brien, Terence J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545680/
https://www.ncbi.nlm.nih.gov/pubmed/35266138
http://dx.doi.org/10.1111/epi.17217

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545680/
https://www.ncbi.nlm.nih.gov/pubmed/35266138
http://dx.doi.org/10.1111/epi.17217

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