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...

Descripción completa

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

Internet

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

Ejemplares similares