Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images

BACKGROUND: This study aimed to assess the utility of deep learning analysis using pretreatment FDG-PET images to predict local treatment outcome in oropharyngeal squamous cell carcinoma (OPSCC) patients. METHODS: One hundred fifty-four OPSCC patients who received pretreatment FDG-PET were included...

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Detalles Bibliográficos
Autores principales: Fujima, Noriyuki, Andreu-Arasa, V. Carlota, Meibom, Sara K., Mercier, Gustavo A., Truong, Minh Tam, Hirata, Kenji, Yasuda, Koichi, Kano, Satoshi, Homma, Akihiro, Kudo, Kohsuke, Sakai, Osamu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8344209/
https://www.ncbi.nlm.nih.gov/pubmed/34362317
http://dx.doi.org/10.1186/s12885-021-08599-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8344209/
https://www.ncbi.nlm.nih.gov/pubmed/34362317
http://dx.doi.org/10.1186/s12885-021-08599-6

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