TABLE 2.
CI Results and the Associated SDs (100 bootstrap sets) for Risk Stratification Models on the Basis of Various Clinicopathologic and ML-Driven Features
| Data | Row | Risk Score | Follow-Up After Surgery/Radiation. Censor: BCR | Follow-Up After Surgery/Radiation. Censor: Death |
|---|---|---|---|---|
| Clinicopathologic data | 1 | Biopsy GS | 0.63 ± 0.07 | 0.68 ± 0.10 |
| 2 | Clinical T stage | 0.56 ± 0.07 | 0.64 ± 0.10 | |
| 3 | Preop PSA | 0.57 ± 0.06 | 0.60 ± 0.08 | |
| 4 | Preop PSA, biopsy GS | 0.64 ± 0.07 | 0.68 ± 0.09 | |
| 5 | Preop PSA, biopsy GS, clinical T stage | 0.66 ± 0.07 | 0.71 ± 0.10 | |
| 6 | Pathologic T stage | 0.69 ± 0.05 | 0.79 ± 0.09 | |
| 7 | Pathologic T stage, clinical T stage | 0.70 ± 0.06 | 0.81 ± 0.08 | |
| 8 | GS from TMA cores | 0.66 ± 0.07 | 0.74 ± 0.10 | |
| 9 | GS from RP | 0.70 ± 0.06 | 0.82 ± 0.07 | |
| ML | 10 | Handcrafted H&E | 0.69 ± 0.08 | 0.68 ± 0.09 |
| 11 | CNN H&E | 0.72 ± 0.06 | 0.72 ± 0.10 | |
| 12 | Handcrafted Ki-67 | 0.66 ± 0.07 | 0.67 ± 0.09 | |
| 13 | CNN Ki-67 | 0.68 ± 0.07 | 0.70 ± 0.09 | |
| 14 | Handcrafted H&E, Ki-67 | 0.71 ± 0.07 | 0.70 ± 0.10 | |
| 15 | CNN H&E, Ki-67 | 0.74 ± 0.08 | 0.75 ± 0.09 | |
| Postsurgical | 16 | CAPRA-S | 0.68 ± 0.06 | 0.80 ± 0.09 |
| 17 | CAPRA-S, handcrafted H&E | 0.71 ± 0.07 | 0.82 ± 0.09 | |
| 18 | CAPRA-S, CNN H&E | 0.73 ± 0.07 | 0.83 ± 0.09 | |
| 19 | CAPRA-S, handcrafted Ki-67 | 0.69 ± 0.06 | 0.81 ± 0.08 | |
| 20 | CAPRA-S, CNN Ki-67 | 0.71 ± 0.06 | 0.82 ± 0.10 | |
| 21 | CAPRA-S, handcrafted H&E, Ki-67 | 0.73 ± 0.07 | 0.83 ± 0.08 | |
| 22 | CAPRA-S, CNN H&E, Ki-67 | 0.76 ± 0.07 | 0.85 ± 0.09 |
NOTE. Preop represents measurements before RP. Bold values indicate highest numbers in each column.
Abbreviations: BCR, biochemical recurrence; CAPRA-S, Cancer of the Prostate Risk Assessment Post-Surgical; CI, concordance index; CNN, convolutional neural network; GS, Gleason score; H&E, hematoxylin and eosin; ML, machine learning; PSA, prostate-specific antigen; RP, radical prostatectomy; SD, standard deviation; TMA, tissue microarray.