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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Bibliografiske detaljer
Udgivet i:Eur J Nucl Med Mol Imaging
Main Authors: 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
Format: Artigo
Sprog:Inglês
Udgivet: Springer Berlin Heidelberg 2020
Fag:
Original Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7835295/
https://ncbi.nlm.nih.gov/pubmed/32737518
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00259-020-04971-z
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