Machine learning-based analysis of [18F]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 [18F]DCFPyL PET metrics to predict metas...

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Bibliographic Details

Published in:	European Journal of Nuclear Medicine & Molecular Imaging Vol. 48; no. 2; pp. 340 - 350
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:	Journal Article
Published:	Springer Nature 2021
Online Access:	View this record in EBSCOhost