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...

詳細記述

保存先:
書誌詳細
出版年:Oncotarget
主要な著者: 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
フォーマット: Artigo
言語:Inglês
出版事項: Impact Journals LLC 2017
主題:
Research Paper
オンライン･アクセス: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
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