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Machine learning-based analysis of [(18)F]DCFPyL PET radiomics for risk stratification in primary prostate cancer

PURPOSE: Quantitative prostate-specific membrane antigen (PSMA) PET analysis may provide for non-invasive and objective risk stratification of primary prostate cancer (PCa) patients. We determined the ability of machine learning-based analysis of quantitative [(18)F]DCFPyL PET metrics to predict met...

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Detalles Bibliográficos
Autores principales:	Cysouw, Matthijs C. F., Jansen, Bernard H. E., van de Brug, Tim, Oprea-Lager, Daniela E., Pfaehler, Elisabeth, de Vries, Bart M., van Moorselaar, Reindert J. A., Hoekstra, Otto S., Vis, André N., Boellaard, Ronald
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Berlin Heidelberg 2020
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7835295/ https://www.ncbi.nlm.nih.gov/pubmed/32737518 http://dx.doi.org/10.1007/s00259-020-04971-z

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