Machine-Learning-Based Radiomics MRI Model for Survival Prediction of Recurrent Glioblastomas Treated with Bevacizumab

Anti-angiogenic therapy with bevacizumab is a widely used therapeutic option for recurrent glioblastoma (GBM). Nevertheless, the therapeutic response remains highly heterogeneous among GBM patients with discordant outcomes. Recent data have shown that radiomics, an advanced recent imaging analysis m...

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Bibliografske podrobnosti

Principais autores:	Samy Ammari, Raoul Sallé de Chou, Tarek Assi, Mehdi Touat, Emilie Chouzenoux, Arnaud Quillent, Elaine Limkin, Laurent Dercle, Joya Hadchiti, Mickael Elhaik, Salma Moalla, Mohamed Khettab, Corinne Balleyguier, Nathalie Lassau, Sarah Dumont, Cristina Smolenschi
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2021-07-01
Serija:	Diagnostics
Teme:	glioblastoma bevacizumab biomarker radiomics machine learning
Online dostop:	https://www.mdpi.com/2075-4418/11/7/1263
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