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

Ammari, S., Sallé de Chou, R., Assi, T., Touat, M., Chouzenoux, E., Quillent, A., Limkin, E., Dercle, L., Hadchiti, J., Elhaik, M., Moalla, S., Khettab, M., Balleyguier, C., Lassau, N., Dumont, S., & Smolenschi, C. (2021). Machine-Learning-Based Radiomics MRI Model for Survival Prediction of Recurrent Glioblastomas Treated with Bevacizumab. Diagnostics, 11(7), 1263. https://doi.org/10.3390/diagnostics11071263
Authors:
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
Affiliated Authors:
Laurent Dercle
Author Keywords:
bevacizumab
biomarker
glioblastoma
machine learning
radiomics
Publication Type:
Article
Unique ID:
10.3390/diagnostics11071263
PMID:
Journal:
Publication Date:
Data Source:
PubMed

Record Created: