Risk Stratification Using (18)F-FDG PET/CT and Artificial Neural Networks in Head and Neck Cancer Patients Undergoing Radiotherapy

This study retrospectively analyzed the performance of artificial neural networks (ANN) to predict overall survival (OS) or locoregional failure (LRF) in HNSCC patients undergoing radiotherapy, based on 2-[(18)F]FDG PET/CT and clinical covariates. We compared predictions relying on three different s...

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Detalles Bibliográficos
Autores principales: Marschner, Sebastian N., Lombardo, Elia, Minibek, Lena, Holzgreve, Adrien, Kaiser, Lena, Albert, Nathalie L., Kurz, Christopher, Riboldi, Marco, Späth, Richard, Baumeister, Philipp, Niyazi, Maximilian, Belka, Claus, Corradini, Stefanie, Landry, Guillaume, Walter, Franziska
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8468242/
https://www.ncbi.nlm.nih.gov/pubmed/34573924
http://dx.doi.org/10.3390/diagnostics11091581

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8468242/
https://www.ncbi.nlm.nih.gov/pubmed/34573924
http://dx.doi.org/10.3390/diagnostics11091581

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