Predicting Local Failure after Partial Prostate Re-Irradiation Using a Dosiomic-Based Machine Learning Model

The aim of this study is to predict local failure after partial prostate re-irradiation for the treatment of isolated locally recurrent prostate cancer by using a machine learning classifier based on radiomic features from pre-treatment computed tomography (CT), positron-emission tomography (PET) an...

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Detalles Bibliográficos
Autores principales: Pirrone, Giovanni, Matrone, Fabio, Chiovati, Paola, Manente, Stefania, Drigo, Annalisa, Donofrio, Alessandra, Cappelletto, Cristina, Borsatti, Eugenio, Dassie, Andrea, Bortolus, Roberto, Avanzo, Michele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505150/
https://www.ncbi.nlm.nih.gov/pubmed/36143276
http://dx.doi.org/10.3390/jpm12091491

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505150/
https://www.ncbi.nlm.nih.gov/pubmed/36143276
http://dx.doi.org/10.3390/jpm12091491

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