Development of Predictive Models for the Response of Vestibular Schwannoma Treated with Cyberknife(®): A Feasibility Study Based on Radiomics and Machine Learning

Purpose: to predict vestibular schwannoma (VS) response to radiosurgery by applying machine learning (ML) algorithms on radiomic features extracted from pre-treatment magnetic resonance (MR) images. Methods: patients with VS treated with radiosurgery in two Centers from 2004 to 2016 were retrospecti...

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Detalles Bibliográficos
Autores principales: Bossi Zanetti, Isa, De Martin, Elena, Pascuzzo, Riccardo, D’Amico, Natascha Claudia, Morlino, Sara, Cane, Irene, Aquino, Domenico, Alì, Marco, Cellina, Michaela, Beltramo, Giancarlo, Fariselli, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221826/
https://www.ncbi.nlm.nih.gov/pubmed/37240978
http://dx.doi.org/10.3390/jpm13050808

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