A Machine learning model trained on dual-energy CT radiomics significantly improves immunotherapy response prediction for patients with stage IV melanoma.

Date publication

novembre 2021

Journal

Journal for immunotherapy of cancer

Auteurs

Membres identifiés du Cancéropôle Est :
Dr AMARAL Teresa Maria

Tous les auteurs :
Brendlin AS, Peisen F, Almansour H, Afat S, Eigentler T, Amaral T, Faby S, Calvarons AF, Nikolaou K, Othman AE

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/34795006

Résumé

To assess the additive value of dual-energy CT (DECT) over single-energy CT (SECT) to radiomics-based response prediction in patients with metastatic melanoma preceding immunotherapy.

Mots clés

melanoma

Référence

J Immunother Cancer. 2021 11;9(11):