Outcome Prediction at Patient Level Derived from Pre-Treatment 18F-FDG PET Due to Machine Learning in Metastatic Melanoma Treated with Anti-PD1 Treatment

(1) Background: As outcome of patients with metastatic melanoma treated with anti-PD1 immunotherapy can vary in success, predictors are needed. We aimed to predict at the patients’ levels, overall survival (OS) and progression-free survival (PFS) after one year of immunotherapy, based on their pre-t...

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Detalles Bibliográficos
Autores principales: Flaus, Anthime, Habouzit, Vincent, de Leiris, Nicolas, Vuillez, Jean-Philippe, Leccia, Marie-Thérèse, Simonson, Mathilde, Perrot, Jean-Luc, Cachin, Florent, Prevot, Nathalie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870749/
https://www.ncbi.nlm.nih.gov/pubmed/35204479
http://dx.doi.org/10.3390/diagnostics12020388

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870749/
https://www.ncbi.nlm.nih.gov/pubmed/35204479
http://dx.doi.org/10.3390/diagnostics12020388

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