Swedish and Danish researchers found that a deep learning-based algorithm quantifying PET/CT measurements of total prostate lesion uptake and abnormal voxel volume relative to total prostate volume -- but not age, Gleason score and prostate-specific antigen levels -- significantly predicted overall survival among patients with prostate cancer. The findings were published in Clinical Physiology and Functional Imaging.
AI-based PET/CT algorithm may predict prostate cancer survival
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