Development of Predictive Models for the Response of Vestibular Schwannoma Treated with Cyberknife<sup>®</sup>: A Feasibility Study Based on Radiomics and Machine Learning

Development of Predictive Models for the Response of Vestibular Schwannoma Treated with Cyberknife<sup>®</sup>: 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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Bibliographic Details
Main Authors: Isa Bossi Zanetti, Elena De Martin, Riccardo Pascuzzo, Natascha Claudia D’Amico, Sara Morlino, Irene Cane, Domenico Aquino, Marco Alì, Michaela Cellina, Giancarlo Beltramo, Laura Fariselli
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Journal of Personalized Medicine
Subjects:
machine learning
radiomic
vestibular schwannoma
Cyberknife
personalized medicine
Online Access:https://www.mdpi.com/2075-4426/13/5/808

Internet

https://www.mdpi.com/2075-4426/13/5/808

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