Table 1:
Reference | Tumor Segmentation | Modality | Feature Category | Analysis Endpoints | Performance |
---|---|---|---|---|---|
Wibmer et al. (2015)100 | Manual | bpMRI | Statistical | Prostate cancer GS | p: <.0001 to .0008 p: .0019 to .0225 |
Vignati et al. (2015)101 | Manual | bpMRI | Statistical | GS | AUC: 0.82 to 0.96 |
Fehr et al. (2015)102 | Manual | bpMRI | Statistical | GS | Accuracy: 83% to 93% AUC: 0.91 to 0.99 |
Algohary et al. (2018)58 | Manual | bpMRI | Statistical | PI-RADS and Biopsy positivity | p < 0.001 |
Shiradkar et al. (2018)59 | Manual | bpMRI | Statistical, Transform-based | BCR | AUC: 0.73 to 0.84 |
Chaddad et al. (2018)103 | Automatic | bpMRI | Statistical | GS | AUC: 0.65 to 0.82 |
Chen et al. (2019)104 | Manual | bpMRI | Morphological, Statistical | Prostate Cancer GS | AUC: 0.98 to 0.999 AUC: 0.87 to 0.93 |
Cuocolo et al. (2019)57 | Manual | bpMRI | Morphological | GS and max cancer core length | AUC: 0.78 p: 0.002 |
Min et al. (2019)105 | Manual | bpMRI | Morphological, Statistical, Transform-based | GS | AUC: 0.73 to 0.87 |
Toivonen et al. (2019)106 | Manual | bpMRI | Morphological, Statistical, Transform-based | GS | AUC: 0.71 to 0.84 |
Abdollahi et al. (2019)107 | Manual | bpMRI | Statistical | GS | AUC: 0.61 to 0.74 |
Varghese et al. (2019)56 | Manual | bpMRI | Statistical, Transform-based | Risk group using TG, GS, and PSA | AUC: 0.92 |
Gong et al. (2020)108 | Manual | bpMRI | Morphological, Statistical | GS | AUC: 0.79 to 0.80 |
Li et al. (2020)109 | Manual | bpMRI | Statistical | GS | AUC: 0.98 |
Bourbonne et al. (2020)60 | Semi-automatic | bpMRI | Statistical, Transform-based | BCR | Accuracy: 76% to 78% AUC: 0.82 to 0.86 |
Stoyonova et al. (2018)110 | Automatic | mpMRI | Statistical | GS | AUC: 0.72 to 0.90 |
Bleker et al. (2020)111 | Auto-fixed | mpMRI | Statistical | GS | AUC: 0.87 |
Brunese et al. (2020)112 | Manual | T1 MRI + T2w MRI | Morphological | GS | Sensitivity: 0.75 to 1 Specificity: 1 |
Tiwari et al. (2013)113 | Automatic | T2w MRI | Statistical, Transform-based | GS | AUC: 0.84 to 0.89 |
Nketiah et al. (2017)114 | Manual | T2w MRI | Statistical | GS | Accuracy: 91% AUC: 0.83 |
Tanadini-Lang et al. (2018)12 | Manual | CT | Morphological, Statistical, Transform-based | GS | AUC: 0.77 to 0.81 |
Osman et al. (2019)11 | Manual | CT | Statistical, Transform-based | GS Risk group using tumor grade, GS, and PSA | AUC: 0.90 to 1.00 |
Abbreviations: NAT = Normal Appearing Tissues; ROI = Region of Interest; GS = Gleason Score; BCR = Biochemical Recurrence; TG =Tumor Grade; AUC = Area under the Receiver Operating Characteristics curve (ROC).