Optimization and validation of (18)F-DCFPyL PET radiomics-based machine learning models in intermediate- to high-risk primary prostate cancer

INTRODUCTION: Radiomics extracted from prostate-specific membrane antigen (PSMA)-PET modeled with machine learning (ML) may be used for prediction of disease risk. However, validation of previously proposed approaches is lacking. We aimed to optimize and validate ML models based on (18)F-DCFPyL-PET...

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Detalles Bibliográficos
Autores principales: Luining, Wietske I., Oprea-Lager, Daniela E., Vis, André N., van Moorselaar, Reindert J. A., Knol, Remco J. J., Wondergem, Maurits, Boellaard, Ronald, Cysouw, Matthijs C. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635444/
https://www.ncbi.nlm.nih.gov/pubmed/37943772
http://dx.doi.org/10.1371/journal.pone.0293672

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635444/
https://www.ncbi.nlm.nih.gov/pubmed/37943772
http://dx.doi.org/10.1371/journal.pone.0293672

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