Fiche publication
Date publication
août 2026
Journal
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Auteurs
Membres identifiés du Cancéropôle Est :
Pr LEPAGE Côme
,
Pr PEIFFERT Didier
Tous les auteurs :
Raynaud C, Vendrely V, Quero L, Lemanski C, Pommier P, Le Malicot K, Saint A, Rivin Del Campo E, Regnault P, Baba-Hamed N, Ronchin P, Crehange G, Tougeron D, Menager-Tabourel E, Diaz O, Hummelsberger M, Minsat M, Drouet F, Larrouy A, Peiffert D, Lievre A, Zasadny X, Hautefeuille V, Mornex F, Lepage C, Bibault JE
Lien Pubmed
Résumé
Machine learning (ML) has transformed oncological risk prediction by enabling personalized therapeutic strategies. Local tumor control remains a critical endpoint in anal cancer management. This study aimed to develop and validate an explainable ML model for predicting local recurrence at 3 years in patients with anal cancer.
Mots clés
Anal cancer, Chemoradiation, Local failure, Machine learning, Predictive model
Référence
Radiother Oncol. 2026 08 4;223:111715
