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...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Oncotarget
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Impact Journals LLC 2017
Assuntos:
Research Paper
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5522136/
https://ncbi.nlm.nih.gov/pubmed/28574816
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18632/oncotarget.17856
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados