Machine learning predicts conventional imaging metastasis-free survival (MFS) for oligometastatic castration-sensitive prostate cancer (omCSPC) using prostate-specific membrane antigen (PSMA) PET radiomics.

Yufeng CaoPhilip SuteraWilliam Silva MendesBardia YousefiTom HrinivichMatthew DeekRyan PhillipsDanny SongAna KiessOzan Cem GulerNese TorunMehmet ReyhanAmit SawantLuigi MarchionniNicole L SimonePhuoc TranCem OnalLei Ren

Published in: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology (2024)

Our study demonstrated the promise of using pre- and post-MDT PSMA-PET-based imaging biomarkers for MFS prediction for omCSPC patients.

Keyphrases

pet ct
prostate cancer
pet imaging
free survival
machine learning
high resolution
end stage renal disease
positron emission tomography
computed tomography
ejection fraction
newly diagnosed
chronic kidney disease
radical prostatectomy
big data
peritoneal dialysis
patient reported outcomes
magnetic resonance