Predictive value of initial FDG-PET features for treatment response and survival in esophageal cancer patients treated with chemo-radiation therapy using a random forest classifier

PURPOSE: In oncology, texture features extracted from positron emission tomography with 18-fluorodeoxyglucose images (FDG-PET) are of increasing interest for predictive and prognostic studies, leading to several tens of features per tumor. To select the best features, the use of a random forest (RF)...

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Enregistré dans:
Détails bibliographiques
Publié dans:PLoS One
Auteurs principaux: Desbordes, Paul, Ruan, Su, Modzelewski, Romain, Pineau, Pascal, Vauclin, Sébastien, Gouel, Pierrick, Michel, Pierre, Di Fiore, Frédéric, Vera, Pierre, Gardin, Isabelle
Format: Artigo
Langue:Inglês
Publié: Public Library of Science 2017
Sujets:
Research Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC5345816/
https://ncbi.nlm.nih.gov/pubmed/28282392
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0173208
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