Prediction of cervical cancer recurrence using textural features extracted from (18)F-FDG PET images acquired with different scanners

OBJECTIVES: To identify an imaging signature predicting local recurrence for locally advanced cervical cancer (LACC) treated by chemoradiation and brachytherapy from baseline (18)F-FDG PET images, and to evaluate the possibility of gathering images from two different PET scanners in a radiomic study...

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Detalles Bibliográficos
Autores principales: Reuzé, Sylvain, Orlhac, Fanny, Chargari, Cyrus, Nioche, Christophe, Limkin, Elaine, Riet, François, Escande, Alexandre, Haie-Meder, Christine, Dercle, Laurent, Gouy, Sébastien, Buvat, Irène, Deutsch, Eric, Robert, Charlotte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5522136/
https://www.ncbi.nlm.nih.gov/pubmed/28574816
http://dx.doi.org/10.18632/oncotarget.17856

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5522136/
https://www.ncbi.nlm.nih.gov/pubmed/28574816
http://dx.doi.org/10.18632/oncotarget.17856

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