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Radiomics analysis of 18F-Choline PET/CT in the prediction of disease outcome in high-risk prostate cancer: an explorative study on machine learning feature classification in 94 patients.

Pierpaolo AlongiAlessandro StefanoAlbert ComelliRiccardo LaudicellaSalvatore ScalisiGiuseppe ArnoneStefano BaroneMassimiliano SpadaPierpaolo PurpuraTommaso Vincenzo BartolottaMassimo MidiriRoberto LagallaGiorgio Russo
Published in: European radiology (2021)
• Artificial intelligence applications are feasible and useful to select Cho-PET features. • Our model demonstrated the presence of specific features for T, N, and M with valuable association with high-risk PCa patients' outcomes. • Further prospective studies are necessary to confirm our results and to develop the application of artificial intelligence in PET imaging of PCa.
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