Machine learning-based analysis of [<sup>18</sup>F]DCFPyL PET radiomics for risk stratification in primary prostate cancer.

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作者： Matthijs C F,Cysouw ^[1] ; Bernard H E,Jansen ^[2] ; Tim,van de Brug ^[3] ; Daniela E,Oprea-Lager ^[4] ; Elisabeth,Pfaehler ^[2] ; Bart M,de Vries ^[5] ; Reindert J A,van Moorselaar ^[2] ; Otto S,Hoekstra ^[3] ; André N,Vis ^[2] ; Ronald,Boellaard ^[3]

作者单位： Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, De Boelelaan, 1117, Amsterdam, the Netherlands. m.cysouw@amsterdamumc.nl. ^[1] Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, De Boelelaan, 1117, Amsterdam, the Netherlands. ^[2] Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Urology, Cancer Center Amsterdam, De Boelelaan, 1117, Amsterdam, the Netherlands. ^[3] Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Biostatistics, De Boelelaan, 1117, Amsterdam, the Netherlands. ^[4] Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University of Groningen, Groningen, the Netherlands. ^[5]

关键词 Machine learning PSMA PET-CT Prostate cancer Radiomics

主题词人类(Humans);男(雄)性(Male);前瞻性研究(Prospective Studies);前列腺肿瘤(Prostatic Neoplasms);危险性评估(Risk Assessment)

DOI 10.1007/s00259-020-04971-z

PMID 32737518

发布时间 2021-05-28

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