Research Article
Detecting MRI-Invisible Prostate Cancers Using a Weakly Supervised Deep Learning Model
Table 1
Demographic and clinical characteristics of 777 included men.
| Variables | Training cohort () | Testing cohort () | value |
| Age | 65 (61-71) | 65 (61-70) | 0.779 | PSA | 6.5 (4.4-10.1) | 6.6 (4.1-9.8) | 0.630 | No. of core per examination | 15 (12-17) | 15 (12-17) | 0.645 | No. of systematic core per examination | 10 (3-11) | 10 (3-12) | 0.709 | No. of targeted core per examination | 6 (4-8) | 6 (4-8) | 0.820 | Per examination maximum Gleason score | | | >0.99 | Total | 903 | 261 | | Gleason | 464 | 141 | | No prostate cancer | 216 | 58 | | | 248 | 83 | | Gleason | 361 | 99 | | | 270 | 71 | | | 91 | 28 | | Gleason | 78 | 21 | | | 9 | 0 | | | 35 | 8 | | | 26 | 10 | | | 0 | 1 | | | 7 | 2 | | | 1 | 0 | | Per systematic core Gleason score | | | 0.119 | Total | 7083 | 2025 | | Gleason | 6750 | 1907 | | No prostate cancer | 6155 | 1719 | | | 595 | 188 | | Gleason | 275 | 98 | | | 217 | 69 | | | 58 | 29 | | Gleason | 58 | 20 | | | 5 | 4 | | | 30 | 2 | | | 16 | 8 | | | 0 | 0 | | | 6 | 6 | | | 1 | 0 | |
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Data in parentheses are the interquartile range. |