Fiche publication


Date publication

décembre 2020

Journal

Cancers

Auteurs

Membres identifiés du Cancéropôle Est :
Pr NOEL Georges


Tous les auteurs :
Giraud P, Giraud P, Nicolas E, Boisselier P, Alfonsi M, Rives M, Bardet E, Calugaru V, Noel G, Chajon E, Pommier P, Morelle M, Perrier L, Liem X, Burgun A, Bibault JE

Résumé

There is no evidence to support surgery or radiotherapy as the best treatment for resectable oropharyngeal cancers with a negative HPV status. Predictive algorithms may help to decide which strategy to choose, but they will only be accepted by caregivers and European authorities if they are interpretable. As a proof of concept, we developed a predictive and interpretable algorithm to predict locoregional relapse at 18 months for oropharyngeal cancers as a first step towards that goal.

Mots clés

XGBoost, head and neck, machine learning, oropharyngeal cancer, radiomics

Référence

Cancers (Basel). 2020 Dec 28;13(1):