Utility of radiomic zones for risk classification and clinical outcome predictions using supervised machine learning during simultaneous ¹¹C‐choline PET/MRI acquisition in prostate cancer patients

Purpose In most radiomic studies related to cancer research, the traditional tumor‐centric view has predominated. In this retrospective study, we go beyond the single‐tumor region and investigate the utility of proposed radiomic zones for risk classification and clinical outcome predictions using radiomic features extracted from 11 C‐choline positron emission tomography (PET) imaging and supervised machine learning in prostate tumors. Materials...