A machine-learning approach based on 409 treatments to predict optimal number of iodine-125 seeds in low-dose-rate prostate brachytherapy

PURPOSE: Low-dose-rate brachytherapy is a key treatment for low-risk or favorable intermediate-risk prostate cancer. The number of radioactive seeds inserted during the procedure depends on prostate volume, and is not easy to predict without pre-planning. Consequently, a large number of unused seeds...

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Detalles Bibliográficos
Autores principales: Boussion, Nicolas, Schick, Ulrike, Dissaux, Gurvan, Ollivier, Luc, Goasduff, Gaëlle, Pradier, Olivier, Valeri, Antoine, Visvikis, Dimitris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565637/
https://www.ncbi.nlm.nih.gov/pubmed/34759979
http://dx.doi.org/10.5114/jcb.2021.109789

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565637/
https://www.ncbi.nlm.nih.gov/pubmed/34759979
http://dx.doi.org/10.5114/jcb.2021.109789

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