| AAN | Artificial neural network |
| ADC | Apparent diffusion coefficient |
| AI | Artificial intelligence |
| BCR | Biochemical recurrence |
| CCP | Cell cycle progression |
| CT | Computed tomography |
| DCE | Dynamic contrast-enhanced |
| DSC | Dynamic susceptibility contrast |
| DNA | Deoxyribonucleic acid |
| DRE | Digital rectal examination |
| DNN | Deep neural network |
| DWI | Diffusion-weighted imaging |
| ECE | Extracapsular extension |
| f-DWI | Full-field-of-view |
| z-DWI | Zoomed diffusion-weighted imaging |
| LASSO | Least absolute shrinkage and selection operator |
| ML | Machine learning |
| MRI | Magnetic resonance imaging |
| mpMRI | mpMRI |
| PCa | Prostate cancer |
| PIRADS | Prostate imaging reporting and data system |
| PSA | Prostate-specific antigen |
| PSMA PET-CT | Prostate-specific membrane antigen positron emission computed tomography |
| PTEN | Phosphatase and tensin homolog |
| RF | Random forest |
| RNA | Ribonucleic acid |
| ROI | Region of interest |
| RP | Radical prostatectomy |
| SAVR | Surface area-to-volume ratio |
| SVM | Support vector machine |
| T2w | T2-weighted |
| TCGA | The Cancer Genome Atlas |
| TCIA | The Cancer Imaging Archive |
| TRUS | Transrectal ultrasonography |
| VOI | Volume of interest |